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Exploring Machine Learning and AI Projects in the Healthcare Industry

Discover how machine learning in healthcare projects transforms diagnostics, personalized care, and analytics, driving innovation in the medical field.

February 3, 2025

min read

Top Machine Learning Healthcare Projects in 2025 | Darly Solutions

The implementation of artificial intelligence (AI) and machine learning (ML) has the potential to turn the healthcare industry upside down. And this global transformation is already beginning. Innovative technologies are being used in diagnostics and treatment. They are influencing pharmaceuticals, research work, and other aspects of medical practice.

Analysts at Global Market Insights have calculated that the AI market in healthcare is valued at $18.7 billion. However, by 2032, the situation will change. According to forecasts, its size will exceed $317 billion.

AI in healthcare market size with global forecast (2023-2032)

Considering this trend, we find it appropriate to explore the prospects that AI and the technologies based on it offer to medical professionals worldwide. We will also focus on the near future of AI-based medical solutions and discuss examples of digital products that are already available to specialists.

What Are Machine Learning Healthcare Projects?

Machine learning projects in the medical field involve the use of ML algorithms and models to perform various tasks for healthcare workers. These include:

data collection and analysis;
predicting the condition of patients and treatment outcomes;
making decisions about the appropriateness of certain prescriptions, and more.

The effectiveness of using AI and ML in healthcare is confirmed by numerous specialized studies. Below are some examples:

The Houston Method Research Institute used an AI-based tool for diagnostic purposes. Specifically, it was used to detect malignant breast tumors. The results shocked scientists. The system demonstrated a disease detection accuracy approaching 99%. Moreover, AI was able to analyze mammograms 30 times faster than humans.

The Nationwide Korean Cohort Study focused on researching the effectiveness of predicting infectious disease outcomes using machine learning. The results showed that the accuracy of the applied ML model was over 90%.

Scientists from Indiana University and Purdue University in Indianapolis developed an ML-powered system to predict the outcome of acute myeloid leukemia. The results of the model's tests demonstrated that it could predict remission with 100% accuracy. The likelihood of recurrence was correctly identified in 90% of cases.

Researchers at BMJ Health & Care Informatics developed and tested a machine learning model for detecting NASH (non-alcoholic steatohepatitis). This disease is difficult to diagnose. However, the use of ML contributes to more accurate screening of NASH and allows for the timely application of effective treatments.

All of these statistics confirm the vast potential of machine learning in healthcare projects. So, what is this technology most often used for?

Popular Use Cases of AI Projects in Healthcare

According to Morgan Stanley Research, 94% of respondents (medical companies) reported using AI or ML in their practice.

Let’s take a look at which aspects of healthcare these technologies can optimize.

1. Pathology Detection

Machine learning models can be used to analyze various types of images. The goal is to recognize pathological conditions.

For example, they can be used to diagnose cancer, tuberculosis, and other infections.

How does this work in practice? Here are several examples of using ML in the field of pathology detection:

A machine learning-based program analyzes tissue samples and helps identify malignant growths.
ML algorithms recognize tuberculosis by examining sputum samples from an infected person.
ML-based systems help differentiate between benign and malignant tumors.

An example of such software is AIM-PD-L1: an AI and ML-based tool that detects PD-L1. This protein is formed as a result of cancer cell development. Research on this solution showed that its results closely align with human diagnostics. Thus, the tool can be useful in identifying pathology.

Another solution from the same developer, PathAI, is the PathExplore panel for histopathological features. It can analyze tissue images at the pixel level. This allows it to examine millions of cells and accurately identify malignant ones.

2. Medical Imaging and Diagnostics

Healthcare machine-learning projects often use innovative technologies to analyze various images. These include CT scans, MRIs, mammograms, X-rays, and more.

Here’s how machine learning models can be used in diagnostics based on visual data:

An ML-based system can analyze CT scan results and, with a high degree of accuracy, identify malignant tumors.
Similarly, such platforms can diagnose ischemic strokes, such as hemorrhage, based on brain MRIs.
Specialized ML-based tools allow for retina scans. This helps in the early detection of blindness due to diabetes, specifically diabetic retinopathy.

There are many similar solutions available on the market. Among them are Viz.ai and InnerEye.

The first, Viz.ai, is a care coordination system based on AI. It allows for automate detection of many diseases, including vascular pathologies.

The second, InnerEye, is a solution from Microsoft that significantly speeds up work with patient images. For example, with this platform, doctors can accurately differentiate between healthy and cancerous cells. It also accelerates the start of treatment by 13 times.

3. Personalized Medicine

Each patient is unique due to the following characteristics:

genetic predisposition;
medical history;
lifestyle;
comorbid health issues, and more.

Machine learning-based platforms are able to take all these factors into account when selecting treatment methods.

Here’s how this can work in practice:

ML models analyze genomic data and recommend individualized treatment methods for oncological diseases.
Thanks to predictive analytics, AI-based tools can adjust insulin dosage. This is possible through constant monitoring of its level in the patient.
Machine learning algorithms help choose the optimal antidepressant based on the patient's psychological state and genetic predispositions.

As an example, let's look at IBM Watson for Oncology. This is a machine learning-based system that considers many factors when recommending cancer treatments. These include the compatibility of prescribed medications, possible side effects, and the effectiveness of treatment in each specific case. As a result, the system provides healthcare professionals with several therapy options from which they can choose the most optimal.

4. Drug Discovery Process

The use of ML can accelerate the invention of new pharmaceuticals. Specialized systems show excellent results in discovering the medicinal properties of various substances. They can also analyze the interactions of drug components and optimize clinical trials.

AI in healthcare projects can be used for this purpose as follows:

ML models accelerate the search for antibiotics and antiviral drugs.
AI-based modeling helps reduce the number of failed clinical trials, thus saving time and resources.
Machine learning algorithms can analyze the structure of substances, assisting in the development of new drugs.

A notable example of using AI and ML in creating new drugs is AlphaFold by DeepMind. This tool is designed to determine the structure of proteins, which are the foundation of biological processes in every living organism. Currently, the platform is successfully used for:

fighting malaria;
searching for a treatment for Parkinson's disease;
counteracting bacteria resistant to existing drugs.

5. Epidemic Prediction

One of the capabilities of ML models is analyzing patterns and making predictions about outbreaks of various diseases.

Here are some examples of using ML-powered solutions:

Such systems can predict global pandemics. To do this, they analyze data on population movement and disease statistics.
ML algorithms track seasonal disease spikes, such as the flu.
“Smart” platforms can predict outbreaks of specific diseases in high-risk areas. For example, they can forecast cases of malaria or dengue fever.

EPIWATCH is one of the leading examples of such platforms. This tool uses artificial intelligence to predict epidemics that could reach a global scale. The system collects and processes extensive infectious disease data in real time. It has proven effective in providing early warnings about potential pandemics.

6. Remote Patient Monitoring

In recent years, IoT (Internet of Things) devices have become widely used in medicine. These are objects equipped with sensors that can collect and transmit data wirelessly without human intervention.

According to Yahoo!Finance, the IoT market in healthcare, was valued at $58.8 billion in 2024, and by 2032, it is expected to exceed $305.5 billion.

IoT in healthcare market size (2022 – 2032)

This situation is explained by the fact that AI and ML enhance the efficiency of wearable devices and health monitoring systems in general.

The use of ML in remote monitoring includes the following cases:

Smartwatches can track irregular heart rhythms and detect instances of sleep apnea.
ML models can analyze ECG data in real time. Based on the obtained data, they can predict a heart attack.
AI-based inhalers can track the patient’s readings and warn about an asthma attack.

There are many such solutions on the market. These include popular devices like the Apple Watch and Fitbit. These smart bracelets can monitor heart rhythms and detect uncontrolled breathing stops.

There are also more complex systems available to healthcare professionals. For example, SafeBeing from Somatix. Thanks to wearable devices, this platform responds to patient gestures and draws conclusions about their health condition.

7. Virtual Assistants

Not everyone can visit a medical facility in a timely manner. Moreover, many people need assistance and support after being discharged from the hospital. AI handles these challenges effectively. Developers are actively creating digital assistants with integrated ML algorithms. These assistants are capable of providing first-aid and consulting patients after treatment.

What can such tools do?

These platforms help assess health status independently and suggest possible diseases.
Smart chatbots help schedule doctor visits, remind patients to take medications, and more.
Virtual assistants help monitor the progress of chronic diseases.

There are many such solutions available to patients. Let’s look at the features of Ada Health as an example. This platform helps assess symptoms and provide preliminary diagnoses using machine learning algorithms. It can:

track changes in the body over time;
provide recommendations regarding treatment and a healthy lifestyle.

8. Psychiatric Assistance

ML algorithms help diagnose and treat various psychiatric disorders, including those used in the fight against depression and anxiety.

Practical examples of ML usage in psychiatry:

Intelligent chatbots can mimic real-world conversations. They can answer patients' questions and provide recommendations.
ML models can analyze user behavior on social media and detect suicidal tendencies.
These digital solutions can analyze human speech and identify early signs of Alzheimer’s disease.

Woebot is a smart chatbot that helps people with mental health disorders. It can assess a user’s mood and emotions. Among its functions are conducting conversations with patients and providing personalized strategies for coping with difficulties.

9. Robotic Surgery

Just imagine. Surgeons no longer need to be in the operating room. All procedures are performed by a robot. Sounds like a scene from a sci-fi movie? Nevertheless, this is our reality. Developers have already created robotic systems based on AI that enhance the accuracy of surgical interventions and reduce rehabilitation time.

What can such software do?

Smart surgical systems can perform minimally invasive surgeries.
AI-based software shows excellent results in neurosurgery and orthopedics.
ML models predict potential surgical risks and possible complications.

Here, we cannot fail to mention the famous Da Vinci surgical robot created by Intuitive Surgical. This robotic system offers medical professionals incredible possibilities in the field of minimally invasive surgery. Its features include fluorescence visualization, integrated table movement, a vision cart, and more. This allows for precise and effective surgical interventions.

10. Automation of Administrative Tasks

Routine tasks such as organizing document flow or billing require a lot of time, diverting medical staff from their primary duties — treating patients. The implementation of machine learning-based software allows automation of these processes, reducing the time spent by medical personnel.

AI-powered systems are handling numerous administrative tasks:

Platforms based on NLP can extract data from medical records and update patient electronic charts.
ML algorithms analyze insurance cases, minimizing fraudulent claims.
Smart scheduling systems efficiently manage hospital resources.

An example of such software is the Optum system. It offers numerous solutions for the healthcare business, including a platform for Revenue Cycle Management. Its capabilities include billing, increasing revenue efficiency, medical coding, and documentation.

Benefits of Machine Learning for Healthcare Analytics Projects

The use of ML models in healthcare allows for the analysis of large amounts of medical data. Furthermore, such models are continuously trained and improved. The implementation of tools based on these models brings a number of benefits to both medical professionals and patients:

Early Disease Diagnosis

Identifying serious diseases at early stages reduces mortality, improves the quality of life for patients, and increases the likelihood of full recovery or sustained remission. For medical institutions, this helps reduce their expenses and saves time.

ML models excel at early diagnosis. They analyze medical images, test results, and patient medical histories. They then track patterns and detect even the slightest deviations from the norm.

Improvement in Patient Care Quality

This is facilitated by AI-based digital solutions for personalized care, virtual assistants, and chatbots. They help maintain a person's health outside of the hospital, for instance, after discharge or before visiting a specialist.

At the same time, such platforms help reduce the workload on medical institutions. They can provide the patient with an initial consultation and allow medical professionals to remotely monitor the patient's condition.

Development of the Pharmaceutical Industry

Innovative technologies allow for faster development of new medications. This is a step toward effectively combating various diseases. This is particularly relevant during global epidemics.

Cost Reduction

ML automates many processes in healthcare, from documentation management in clinics to diagnostics and treatment prescriptions. Additionally, the use of smart technologies helps reduce human errors and allows for some patients to switch to home care. As a result, medical institutions can increase the number of patients served and their profits.

Improvement in Treatment Effectiveness

In medicine, predictive models are used, which are trained on large sets of historical patient data. Such models can predict:

the likelihood of recurrence;
the need for hospitalization;
the tendency for the disease to progress.

Medical professionals can use all this data to adjust the prescribed treatment to improve its effectiveness.

Key Challenges in Healthcare Machine Learning Projects

The implementation of machine learning in healthcare projects opens up many opportunities for the industry. We have already seen this today. However, alongside numerous advantages, some challenges may arise for innovators.

Security of Confidential Data

The digitalization of healthcare has led to a particularly sharp issue. We mean the preservation of medical confidentiality and the privacy of patient data. The use of virtual tools implies entering personal information into the system, which increases the risk of data leakage.

To mitigate these risks, maximum anonymity should be maintained. For example, financial and insurance data, as well as the patient's address, should not be included. It is also important to implement reliable data encryption methods and threat notification mechanisms on the platforms.

Quality of Data for Model Training

The effectiveness of ML models depends on the data input into the system. Inaccurate input data can lead to incorrect diagnoses, wrong treatments, and even death.

To prevent this problem, machine learning software should be used under the supervision of highly qualified medical staff.

Skepticism of Healthcare Professionals and Patients

Since machine learning projects in the medical field are still in the early stages of gaining ground, many doctors and patients are not fully confident in its capabilities. The main concerns include inaccurate diagnostics and the complete replacement of human involvement in medical practice.

To build trust, continuous training for healthcare professionals and patients is necessary. It is also important to notify people about the chosen treatment methods.

As for the complete replacement of human labor, this is highly questionable. Scientists believe that innovative technology will, in fact, expand the role of healthcare professionals. Their duties will include overseeing the operation of ML models and interpreting their results.

Difficulty of Integration with Existing Software

To ensure the smooth operation of medical institutions, new software products need to be seamlessly integrated into the existing infrastructure. The task becomes more complex because clinics may be using outdated systems that are not compatible with new technologies.

To solve this problem, investment in qualified IT personnel and gradual replacement of old software with new ones is necessary.

Technologies Used in Machine Learning Projects in Healthcare

Such high efficiency in AI projects in healthcare is achieved thanks to the wide range of technologies used in specialized software. Let's look at the main ones.

Computer Vision

This is the ability of a machine to understand and interpret visual information from the external world. In healthcare, it is used for analyzing medical images for subsequent diagnosis and treatment.

Examples of use:

detection of tumors in X-rays, CT scans, or MRIs;
analysis of biopsy results to identify malignant formations.

Robotic Process Automation (RPA)

This involves using bots (software robots) to perform repetitive tasks. In medicine, this technology is applied to automate administrative processes.

Examples of use:

processing insurance claims;
billing;
inputting data into electronic patient records.

Logistic Regression

This is a statistical machine learning algorithm that is effective for predicting the probability of disease and classifying ailments.

Examples of use:

assessing the risk of developing diabetes;
determining the likelihood of cardiovascular diseases.

Support Vector Machines (SVM)

This is a supervised machine learning algorithm that is best suited for classification, i.e., separating data into different categories. It is used in medicine for diagnostic purposes.

Examples of use:

differentiating between benign and malignant tumor cells based on biopsy data;
classifying genes to identify genetic disorders.

Natural Language Processing (NLP)

This is a field of artificial intelligence that enables computers to understand, interpret, and generate human language. It is used to process medical text, such as doctor’s notes or specialized literature.

Examples of use:

analyzing electronic medical records to extract patient data;
virtual assistants and chatbots to assist patients outside medical facilities.

Large Language Models (LLM)

These are a specific type of machine learning models trained on large datasets. Their capabilities include understanding and generating human-like language.

Examples of use:

answering complex medical questions;
automating clinical documentation.

Deep Learning (DL)

A subset of machine learning that uses neural networks with multiple layers to perform tasks. It is applicable for image recognition and speech processing. It is widely used in medical imaging, as well as in fields such as genomics and pharmaceuticals.

Examples of use:

developing new medications;
diagnosing diseases based on visual data.

Reinforcement Learning (RL)

A type of machine learning where an agent learns by interacting with its environment, in other words, through trial and error. This technology helps optimize the effectiveness of treatment strategies.

Examples of use:

robotic surgical systems;
personalized treatment for various diseases.

The powerful potential of AI-based technologies suggests that the future of healthcare lies in them.

Future Trends in AI and Machine Learning in Healthcare Projects

It is predicted that in the coming years, AI and machine learning will continue to strengthen their position in healthcare. This is facilitated by:

better awareness of these technologies among doctors and patients;
an increase in the number of developers capable of creating and integrating innovative systems;
a growing demand for skilled healthcare services and medications.

What can we expect in the near future?

Transformation of Primary Healthcare

AI and machine learning systems will take on more responsibility during a patient's initial visit to the doctor. They will classify patients based on their risk level, using examination results. Patients with a low probability of illness will be notified immediately. Those with a high risk will be referred to specialists.

This will reduce the waiting time for referrals and ease the burden on specialists.

Improvement of Healthcare Accessibility

According to the International Labour Organization, 56% of people living in rural areas have no access to healthcare. In cities, the situation is better but still concerning, with 22% of the population unable to access medical services.

AI and machine learning have the potential to fundamentally change this situation. This will be possible through telemedicine and mobile health services.

Focus on Data Security

AI system developers understand the importance of ensuring data security in healthcare. The HIPAA Journal states that in 2023, over 133 million medical records were exposed due to data breaches. This means the problem is becoming global in scale.

As a result, IT specialists will work on enhancing the reliability of the security measures being implemented.

Progress in Early Disease Detection

Modern intelligent software is capable of recognizing symptoms at the very early stages of disease development. However, in the near future, AI capabilities will go even further. The first steps in this direction are already being taken. An example is the Sybil tool developed by scientists from the Massachusetts Institute of Technology. It can predict the development of lung cancer within a year with 94% accuracy.

This is a huge breakthrough in healthcare. It has the potential to save millions of lives.

Emphasis on Personalized Treatment Plans

Doctors will increasingly move away from general prescriptions that do not account for the specific characteristics of individual patients. AI systems will be used to analyze medical histories, genetics, and other factors. Based on this analysis, personalized treatment methods will be selected.

This approach is particularly relevant for treating complex diseases such as cancer.

Darly Solutions Case Studies

Finally, we would like to share the experience of the Darly Solutions team. Our custom healthcare software development company has implemented many successful AI-powered projects for healthcare.

A company approached us with concerns about patient safety during the diagnosis of infectious diseases. They decided to rely on AI and machine learning for the accuracy and safety of their research.

The Darly Solutions development team created a platform for the client that can achieve 99.9% accuracy in clinical diagnostics. To achieve such impressive results, we used the following technology stack:

Python for machine learning and data analytics;
JavaScript and React for creating an intuitive user interface;
WordPress for backend development.

We successfully implemented predictive tools, high-quality data visualization, and a user-centered UI/UX design in the diagnostic solution. As a result of our collaboration, the client’s goals were met. The company received a flexible, scalable, and highly efficient system.

Conclusion

It can be confidently stated that machine learning projects in the medical field are the future of global healthcare. Intelligent solutions have the potential to revolutionize disease diagnosis and treatment, patient care, and drug development.

Do you want to follow the latest trends and provide the highest quality services? Now is the perfect time to find an expert team to develop an AI and machine learning-based medical application.

The Darly Solutions team is ready to assist you with this! Contact our manager to discuss the project details and receive a digital solution that will exceed all your expectations.

Healthcare App Development Cost: Factors That Affect Pricing

Discover the cost of healthcare app development with Darly Solutions. Learn about factors affecting pricing and how we can help you create a cost-effective solution.

January 24, 2025

min read

Healthcare App Development Cost in 2025 | Darly Solutions

COVID-19 marked a turning point for digital health. In fact, it made mobile medical apps mainstream in healthcare. According to Statista, as of 2025, the Google Play Store had over 36K healthcare apps, and the Apple App Store had over 35K. These apps cover telemedicine, fitness, wellness, mental health, nutrition, and pharmacy delivery, competing for users' attention and digitalizing the traditional healthcare industry.

Since development isn't just about coding, it requires complex regulatory navigation, technological and market demands, and strategic investment.

The cost of developing a health app will vary depending on what kind of app you want to launch. In fact, all types of eHealth apps, from telemedicine, fitness and wellness, mental health, and nutrition planning to pharmacy delivery apps — are getting great traction in the market today.

In this article, you will learn what affects the cost of developing a healthcare mobile app.

Healthcare Apps Market Overview

The mHealth app sector demonstrates skyrocketing growth driven by evolving healthcare delivery models. According to Grand View Research, the global healthcare app market will grow at a 14.9% CAGR through 2030. This growth is due to increased smartphone use for health tracking, the rise of AI assistants, and a demand for remote, patient-centered care.

Advantages of Developing a Healthcare App

Digitalization and automatization run the world, and healthcare thrives here the most. Since patients can now reach doctors with a few clicks, digital monitoring and telemedicine cut care costs by 25%.

About 63.4% of U.S. adults use mobile health apps, with many relying on them daily for fitness and wellness tracking. Additionally, a survey showed that 59% of participants have 1-3 health-related apps, which highlights even more significance of healthcare apps.

And the benefits don't end here. Dive with us into some of the other top benefits of healthcare apps:

Advantages of developing a healthcare app include faster patient access, lower costs, and improved remote monitoring

Improved Patient Engagement

mHealth apps lead to better patient outcomes. With remote monitoring and reminders, they provide direct communication with providers and offer personalized health management tools.

Patient Customization and Tailored Treatments

Custom mobile apps streamline access to patient records. They help doctors create personalized treatment plans, improving outcomes and patient-provider relationships.

Medication Adherence Support

Medication reminders and tracking tools within these apps promote adherence, empower patients, enable timely provider intervention, and improve the management of chronic conditions.

Health and Fitness Tracking

Real-time data fosters proactive wellness and motivates users to achieve their health goals. Sharing this data with healthcare providers facilitates personalized care and timely interventions.

Analysis of Patient Behavior

These apps track patient behavior, including mood, medication use, and lifestyle choices. Real-time feedback lets doctors adjust their plans. Improved communication boosts patient engagement and outcomes.

Real-Time Global Collaboration

These apps break down geographical barriers and enable global healthcare teams to collaborate on personalized treatments. Continuous patient monitoring enables prompt intervention, fosters proactive healthcare, and raises global care standards.

Emergency Services Integration:

Healthcare apps with emergency services let users quickly contact help, share their location, and get help in emergencies. This approach improves response times and can save lives.

Reduced Diagnostic Errors

mHealth apps enhance diagnostic accuracy and patient safety. Intelligent tools support better decision-making, while predictive features help identify potential drug interactions and other adverse events.

Secure and Convenient Payment Options

Integrated payment gateways enable seamless transactions via credit/debit cards or PayPal. Automated notifications and easy access to payment history streamline billing and enhance patient satisfaction.

Efficient Data Management

Using AI and blockchain in mobile health apps improves data management, streamlines processes, and enhances doctor-patient communication. This approach leads to more personalized treatment and better health outcomes.

Types of Healthcare Apps and Their Development Cost

In this section, we'll look at the average cost to build a healthcare app across various categories.

Telemedicine App

Telemedicine is a synonym for modern healthcare. Now, healthcare professionals are at the fingertips and available from the comfort of home. From virtual consultations to video calls, the possibilities are vast.

Check for key components, cost, and timeline of the app deployment below:

Telemedicine apps key components, cost, and timeline of the deployment

Health and Wellness Tracking App

Given the vast and growing market, launching a wellness app is a promising venture. Look at the success of Headspace and Calm. They help many users find a sense of calm every day. Wellness apps typically include features like meditation, mindfulness practices, and productivity tools. With AI-powered nudges, you can help users stay mindful and re-energized.

Inspect the key aspects, budget requirements, and timeline for deploying the app below:

Health and wellness tracking app's key aspects, budget requirements, and timeline

Medical Networking App

These platforms harness the power of the Internet to foster connections and collaboration. Healthcare providers can use these apps to expand their knowledge and share important information with respected colleagues.

Below, we've listed the app's features, financial estimates, and launch timeline:

Medical networking app's features, financial estimates, and launch timeline

E-prescription Apps

E-prescription apps are reshaping the prescription process, blending security with efficiency. They allow healthcare professionals to prescribe precise dosages, which pharmacies receive in real-time. This seamless flow ensures that medications are delivered right to patients' homes, making healthcare as easy as a tap on the screen.

Here's a detailed look at the app's features, cost projections, and expected timeline.

E-prescription app's features, cost projections, and expected timeline

Hospital & Clinics Management Apps

Hospital and clinic management apps simplify administrative tasks, improve resource allocation, and boost overall efficiency in healthcare settings.

Below, we've detailed the app's features, pricing estimates, and launch schedule.

Detailed features, pricing estimates, and launch schedule of hospital & clinics management apps

Chronic Disease Management Apps

Chronic disease management apps help users track symptoms, manage medications, and communicate with healthcare providers.

Take a closer look at the app's features, estimated costs, and projected timeline.

Chronic disease management app app's features, estimated costs, and projected timeline

Appointment Scheduling Apps

Healthcare appointment scheduling apps make booking and modifying appointments easier, which improves patient satisfaction.

The app's primary functions, projected costs, and deployment timeline are listed below.

The appointment scheduling app's primary functions, projected costs, and deployment timeline

EHR/EMR Systems

Modern healthcare demands secure digital record systems. Blockchain EHR platforms protect sensitive patient data while facilitating doctor-patient communication. Smart contract automation streamlines medical workflows.

Check the app's core functionalities, expected expenses, and rollout schedule below.

EHR/EMR systems core functionalities, expected expenses, and rollout schedule

Remote Monitoring Apps

Remote monitoring apps provide real-time insights into patients' health metrics, empowering healthcare professionals to act swiftly. This seamless connection ensures timely interventions, making healthcare more responsive and effective.

See the app's features, financial estimates, and launch timeline below.

Remote monitoring app's features, financial estimates, and launch timeline

Medical billing and coding

Medical Billing means submitting and following up on claims with health insurers to get paid for services by healthcare providers. It also includes verifying patient insurance, processing payments, and managing accounts receivable.

Medical Coding turns healthcare diagnoses, procedures, and services into universal alphanumeric codes. Accurate coding is crucial; it directly impacts billing accuracy and claim approvals.

If speaking to the real-world case, the hospital tracked underpayments and payer performance by implementing the billing system, boosting patient collections from 5% to 22-26%.

Key Features of Medical Billing Software

Patient Record Management.

Efficient management of patient records eliminates manual filing and ensures quick access to necessary information.

Medical Coding Automation.

The software supports standardized coding systems like ICD-10 and CPT to automate the coding process and reduce claim denials due to errors.

Payment Processing Integration.

Integrated payment processing capabilities allow secure online payments via various methods, enhancing patient convenience.

Financial Performance Analytics.

Tools for generating reports on collections, rejections, and overall financial performance help healthcare providers analyze their revenue cycle.

Electronic Health Record Synchronization.

Seamless integration with Electronic Health Records (EHR) systems consolidates data accurately, improving workflow efficiency and reducing billing errors.

Steps in Developing Medical Billing Software

Developing medical billing software requires a strategic approach. It must balance technical complexity, compliance with regulations, and a user-centric design. This process involves planning, skilled development, and rigorous testing to meet healthcare standards.

Define Requirements.

Clearly outline the functionalities needed based on user feedback and technical specifications.

Software Development.

Engage a team of developers to create the software, focusing on design specifications, security considerations, and compliance with regulations like HIPAA.

Testing.

Conduct thorough testing to ensure functionality meets compliance standards and is free from technical issues before deployment.

Formula to Calculate Medical App Development Cost

The final estimate of your healthcare mobile app development cost relies on the duration of your project. However, you can calculate the approximate cost using the formula for the healthcare app development cost:

The hourly rate is the cost charged per hour of work, and development hours account for the total time used in the process.

Easy Formula to Calculate Medical App Development Cost

Note!

The hourly rates depend on the skills and location of the app developers. If you have an offshore team, you might gain some cost advantages. Yet, skilled professionals might charge higher fixed prices. You must balance expertise and budget to get the best app development value.

Cost Per Feature in Healthcare App Development

The cost of healthcare app development is the cornerstone. Each added feature impacts the overall budget. For instance, user authentication can cost $2,000 to $5,000. Telemedicine features may cost $10,000 to $15,000. User-centric options, like appointment scheduling, cost $1,000 to $3,000 each. Strategic planning is essential to manage costs effectively.

Let's take a closer look at the price of each feature:

Cost Per Feature in Healthcare App Development in 2025

Cost Per Hour for App Development By Region

The hourly rate for healthcare app development isn't set in stone; it varies widely based on several key factors. They involve the app's complexity, the developers' expertise, their location, and the project's scope.

Here's a quick guide to typical hourly rates across different regions:

North America (USA, Canada): $100 – $250

The rates in North America are among the highest globally due to the high demand for skilled developers and the cost of living in major tech hubs like Silicon Valley. Senior full-stack developers can charge between $150 and $200 per hour.

Western Europe (UK, Germany, France): $80 – $200

This region has high rates due to a strong demand for skilled developers and a robust business environment. Countries like Germany and the UK typically charge between $22 and $90 per hour for developers, depending on their experience level. The average salary for software engineers in Western Europe ranges from $60,000 to $95,000 annually.

Eastern Europe (Poland, Ukraine, Romania): $40 – $100

Eastern Europe offers a competitive balance of cost and quality. The average hourly rate is lower than in Western Europe, with many skilled developers available between $24 and $46 per hour. With strong technical education and a growing IT workforce, Poland and Ukraine offer readily available development talent.

Asia (India, China, Philippines): $20 – $80

Asia generally offers the lowest rates for software development. However, quality can vary widely among developers. Rates typically range from $10 to $80 per hour. It is crucial to thoroughly vet developers in this region to ensure quality and reliability.

Australia and New Zealand: $80 – $150

Developers in Australia and New Zealand command higher salaries due to the high cost of living and demand for skilled labor. Average hourly rates range from approximately $50 to $150, depending on experience and specialization.

South America (Brazil, Argentina): $30 – $100

South America presents competitive rates with a growing pool of talented developers. Hourly rates typically range from $20 to $100, making it an attractive option for companies seeking cost-effective development solutions while maintaining quality.

Hidden Expenses in App Development

When planning a budget for mhealth app development, don't forget to account for these additional costs:

Project Management: Usually adds 10-20% to the overall medical app development cost.
Design: UI/UX design rates typically range from $50 to $150 per hour.
Testing and QA: Costs generally fall between $30 and $100 per hour.
Maintenance and Support: Ongoing expenses after launch are often billed at the same hourly rate as development.

Note!

These approximate figures may fluctuate based on your project's specifics and development team.

Legal and regulatory costs

Legal and regulatory healthcare app development costs can range from $5,000 to $15,000 annually. This covers compliance with key regulations like HIPAA in the U.S. and GDPR in Europe. These costs include fees for obtaining certifications, conducting privacy audits, and ensuring compliance with evolving legal standards. Developers must also consider the costs of data protection. They may need to consult lawyers to navigate complex regulations.

What Affects the Healthcare App Development Costs?

Healthcare software solutions come with different price tags. For example, an EHR system may cost $10K to $250K, while telemedicine platforms can range from $40K to $400K. What factors contribute to these costs? We're here to explain.

Scope and complexity

Healthcare app development costs hinge on project complexity. Advanced features like AI-powered decision support, analytics, and device integration drive up expenses and development timelines. Precise project scoping is critical: it minimizes unexpected costs and ensures optimal resource allocation.

Regulatory compliance

Protecting patient data via HIPAA compliance is non-negotiable, as it entails trust in healthcare services overall. However, it often comes at a cost: increased development complexity, higher expenses, and the added overhead of certifications impact both — budget and time to market.

Integration requirements

System compatibility drives up healthcare software development expenses. For compatibility and seamless data transfer, developers must invest substantial effort in connecting new software with legacy Electronic Health Record (EHR) and Electronic Medical Record (EMR) systems. The integration process becomes more complex when incorporating third-party services like payment platforms, telehealth tools, and laboratory information systems, dramatically increasing both development and testing costs.

Technology stack

Cross-platform software development multiplies costs. Creating separate codebases for web, iOS, and Android platforms can exponentially increase development expenses. Moreover, integrating cutting-edge technologies like AI and blockchain requires rare expertise, significantly inflating development costs.

Development team composition

Healthcare app development costs depend on the team structure. An in-house team may provide more control, while outsourcing to a third-party vendor can be more cost-efficient with proper management. Remember that specialized skills, such as cybersecurity experts and data scientists, are usually more expensive.

Design and user experience

Design determines healthcare software success. While a high-quality, user-friendly design may increase initial healthcare app development costs upfront, it drives better adoption and satisfaction in the long run. Features for disabled users will have higher design and development costs. Major expenses come from thorough research, testing, and iterative development.

Testing and quality assurance

The smooth operation of healthcare software depends on regular testing. In-depth testing for functionality, security, compliance, and performance raises healthcare app development costs due to the lengthy cycles involved. Feedback from real users during testing further raises the overall project expenses.

Maintenance and support

Healthcare software expenses don't end at development. Maintenance and post-launch support (e.g., bug fixes, updates, regulatory compliance changes) demand ongoing investment. Additionally, providing user support services adds to overall operational expenses.

What Affects the Healthcare App Development Costs in 2025

These factors guide informed decisions on scope, technology, and resources for healthcare software development. Plus, they empower effective budgeting and cost management, often resulting in successful healthcare software development initiatives.

Best Practices for Cost-Efficient Healthcare App Development

Deployment of healthcare apps is an expensive process. Sometimes, it squishes the expenditures; software integration expenses range from $20,000 to $100,000, while regulatory compliance adds $20,000 to $80,000 to development budgets. These substantial costs necessitate strategic financial management.

Smart business owners seek smart moves to keep healthcare app development costs under control. Here are some options available in detail:

Opt For Cross-Platform Development Tools.

React Native and Flutter can cut your budget by up to 1.5 times through a shared iOS and Android codebase. In addition, source code from a cross-platform mobile app can be repurposed to create a web application.

Leverage Off-the-Shelf SDKs and Code Libraries.

Businesses can use existing solutions and customize them to fit their needs instead of building common features from scratch. Pick a ready-made option and modify it to fit your specific needs.

Consider White-Label and No-Code Solutions.

Branded and system-integrable off-the-shelf products provide a cost-effective way to roll out services like telehealth. This white-label product integrates with your digital systems, like practice management platforms. It lets clinics cost-effectively start telehealth services using no-code solutions.

Conduct Rapid Prototyping.

Before diving into full development, opt for prototyping. This stage can help validate your ideas and test the UI/UX while cutting unnecessary costs.

Employ a Multidisciplinary Team.

Hire a full-stack team that includes in-house talent in design, development, QA, etc. Clearer, more concise communication keeps mHealth app development costs under control.

Outsource Smart.

Outsourcing holds potential as a strategic solution yet demands careful evaluation before proceeding. Combining medical app development intricacies with cultural misunderstandings can produce a product that fails to fulfill expectations. The cost of healthcare app development in the USA mirrors its distinct challenges and established standards.

Involve in the Development Process From the Start.

One of the greatest mistakes is to hire an experienced team and then leave to manage themselves. Make the feedback a routine, and maintain communication with the development team throughout the process. If you lack time and material — hire a dedicated project manager. Make sure your reliable partner maintains regular updates with you.

Conduct Thorough Testing.

QA is on your development partner. Nevertheless, you can also verify stuff on your end. Early detection of bugs simplifies their resolution while keeping costs low. To prevent old errors from recurring, developers should conduct retrospective tests.

Implement DevOps Best Practices.

Without appropriate DevOps practices, developers lose valuable time. Automated DevOps systems allow developers to focus on writing code features rather than spending time on manual quality assurance and releases.

Optimize Maintenance Costs.

Long-term maintenance costs decrease when automated platforms track issues and collect user feedback.

Prioritize Features Wisely.

Start with core features before building a Minimum Viable Product (MVP), enabling market testing before further development.

Regulatory Compliance For Health Apps

Developing medical applications requires strict adherence to international data protection standards. These regulations safeguard patient information and ensure legal compliance across global markets. Here's a comprehensive breakdown of key regulatory frameworks:

1. European Union: GDPR (General Data Protection Regulation)

Coverage: Patient health records and personal data

Key Features:

Mandatory data breach reporting within 72 hours
Patient right to data access and deletion
Requires explicit consent for data collection

Fines: Up to €20M or 4% of global revenue

2. United States: HIPAA (Health Insurance Portability and Accountability Act)

Coverage: Protected health information (PHI)

Requirements:

End-to-end data encryption
Access control mechanisms
Audit trails for all data access
Regular security assessments

Penalties: Up to $1.5M per violation annually

3. Canada: PIPEDA (Personal Information Protection and Electronic Documents Act)

Coverage: Private sector data handling

Key Requirements:

Explicit consent for data collection
Purpose limitation
Data accuracy maintenance
Security safeguards

Penalties: CAD 100K per violation.

Tech Stack For Healthcare App Development

Discussing the tech stack goes first, right before answering the ultimate question of how to develop a health app. Also, will the dev work blow the budget?

Since the health app's tech affects its performance, convenience, and company expenditures. Here are some common tech stacks for mhealth app development used by the Darly Studion team:

Programming Languages:

Java, Python, C#, C++, JavaScript, PHP, and HTML5.

The choice of specific language depends on the functionality you need. If the app stores and analyzes large data or uses AI, choose Python and Java for the backend and JavaScript for the front end.

Operating Systems:

Windows, macOS, Linux, and mobile Apple iOS or Google Android.

Here, we just need to choose a trustworthy provider with great support. We choose an OS with strong security and top performance.

Databases:

MySQL, Oracle, PostgreSQL, Memcached, and MongoDB.

To select the best database or a mix, contact a development team. They will evaluate your data type, volume, and request frequency to guide you in choosing the right database size and provider.

Servers:

Apache server and NGINX.

These two options lead the market, but their HIPAA compliance is most important to us.

Other useful tools:

DevOps tools: GitHub, Jenkins, Selenium, Rollbar, or Bitbucket.
Business tools such as Slack and G Suite — for communication and management.
Tools like Google Analytics for tracking, Stripe for payments, and Elasticsearch for search enhance functionality.
Cloud storage and hosting providers such as Amazon S3, Amazon EC2, or DigitalOcean.

Now that we've covered the technology stack for healthcare apps let's break down the next practical steps.

Design for Healthcare App Development: Best Practices

Creating effective healthcare applications requires meticulous attention to design principles that balance clinical utility with user experience. Studies show that 93% of physicians believe mobile health apps can improve patient care, while 80% of users abandon healthcare apps within the first 2 weeks due to poor design.

User Interface Design

Medical professionals spend an average of 4.5 hours daily interacting with healthcare interfaces. Design must accommodate the 15-second average attention span during critical care scenarios, with interfaces allowing task completion within three clicks or less.

Visual Elements

Color schemes with a minimum 4.5:1 contrast ratio (WCAG 2.1 standards)
Typography: 16px minimum for body text, 24px for headers
Maximum of 6-8 core icons per screen to prevent cognitive overload
95% of users expect consistent branding across all touchpoints

Functionality Considerations

Critical features accessible within 0.8 seconds
The data visualization comprehension rate should exceed 90%
Forms designed to reduce error rates below 1%
99.9% uptime for offline critical functions

Security Measures

2-factor authentication reduces breaches by 99.9%
256-bit AES encryption ensures the security of data at rest and in transit
HIPAA compliance requires 72-hour breach notification
Monthly security audits covering 100% of the codebase

Accessibility Features

Voice commands with a 95% accuracy rate
Screen readers supporting 40+ languages
Text scaling from 100% to 400%
Regional support for 25+ major healthcare markets

Performance Optimization

Page load times under 3 seconds (Google's benchmark)
Data sync completion within 5 seconds
Maximum 5% battery drain per hour of active use
99% crash-free sessions rate

Testing Requirements

Minimum 500 hours of user testing with healthcare professionals
100% compliance with ISO 13485 medical device standards
Testing across 15+ device types and 5+ operating systems
Weekly security scans covering 50+ vulnerability types

Key Metrics for Success:

User Retention: Target 70% after 30 days
Task Success Rate: Minimum 95%
Error Recovery: Under 5 seconds
System Response Time: Under 0.1 seconds
User Satisfaction Score: Above 85%

Healthcare Application Development Steps

Crafting a custom medical software development service demands mastering five non-negotiable development stages:

Stages of Healthcare Application Development

Step 1. Shape the concept for your app

Before writing a single line of code, decode the fundamental value proposition, transforming your app from a mere download to a user's daily digital health companion.

Decode your audience's DNA.

Segment users by age, location, and average income. Analyze their needs to create a value proposition that challenges industry standards.

Conduct market research.

Identify the strengths and weaknesses of your target market. Benchmark against competitors and develop a unique value framework.

List selling points.

Create a comprehensive list of features and additional services that will appeal to your target audience and encourage them to choose your mhealth app.

Define your goals.

Clearly outline the objectives you want the app to achieve and align them with your budget for effective planning.

Step 2. Choose the monetization model

Basically, there are six monetization business models for healthcare apps, from freemium to paid-in-app. This aspect is pretty simple for healthcare providers who decided to build a healthcare app as another platform to sell their services.

Healthcare providers who use healthcare apps to sell their services will find this aspect straightforward because they don't need to generate revenue from the app, which functions as an additional tool. However, the question is a bit more complicated for owners of apps such as meditation or healthy lifestyle platforms.

Step 3. Create UI/UX design

In this development phase, UI/UX designers establish the app's functionality and visual design while managing platform branding when necessary. The most time-consuming task during this stage remains developing prototypes that include visual mockups for each app screen and user interaction.

Another crucial part of the design process is selecting fonts, color schemes, and button placement. mHealth platforms must prioritize responsive design across all devices while ensuring users can reach their goals efficiently.

Step 4. Build an MVP

Even if you lack the necessary funding to implement your ideas today, that doesn't mean you cannot begin developing your project. That's what an MVP is for.

MVP creation enables faster launch and collection of initial user feedback. As your app develops, you can raise more funding. This will help expand its capabilities. An MVP approach cuts financial risk since it requires less investment to test a product's viability before committing further.

Step 5. Collect feedback and update

Typically, at this stage, QA engineers perform another round of testing after developers deploy updates to ensure that there are no bugs and that project requirements match the results.

Timeline of Custom Healthcare Software Development Services

The timeline for custom healthcare software development varies according to the complexity, scope, and specific requirements. Let's explore the general phases involved.

Initial consultation and planning.

This phase starts by engaging stakeholders to clarify their needs and objectives. It then lays down the scope, key features, and deliverables, resulting in a high-level timeline and budget. The project team then defines roles and responsibilities. This process typically takes two to four weeks.

Research and analysis.

The research and analysis phase starts by analyzing market trends and examining competitors' healthcare software solutions. The next step is gathering insights through surveys and interviews with potential users. The technology stack, third-party integrations, and compliance requirements are evaluated at this stage to ensure thoroughness. This vital phase will take three to five weeks and lay a solid foundation for your project.

Designing phase.

The design phase usually spans four to eight weeks. At this phase, create wireframes and prototypes for key screens and user journeys to develop a user-friendly interface. Additionally, conduct a usability test. Every detail must shine.

Development phase.

This phase lasts 12 to 24 weeks. It focuses on building the software's core: the backend, the front end, and key features like patient records, scheduling, and billing. The backend includes the databases and APIs. The front end must be user-friendly. Plus, robust security measures are integrated, including HIPAA and GDPR compliance.

Testing.

Before release, the software undergoes a 6 – to 10-week testing cycle. This includes unit tests, integration tests, performance tests, security tests, and user acceptance tests, which help ensure the software performs well and is secure.

Deployment and training.

The deployment and training of your healthcare software will take three to six weeks. At this phase, developers ensure the software works well, that any early issues are fixed quickly, and that the app is user-friendly.

Must-Have Features of Healthcare Apps

The type and main function of a healthcare app dictate its features. Yet, there are the most common that mHealth apps share, whether for telemedicine, hospitals, or urgent care. Here are the essentials:

Sign-up / Sign-in. While in-app registration might require hefty user details and time to figure everything out, the sign-in process should be swift and easy. For a smooth experience, allow users to sign in with their email.

Doctors' and patients' profiles. Doctors' profiles should display their specialization, education, current workplace, and availability. Patients' profiles must include their medical history, prescribed medications, and other key health details to ensure a seamless interaction.

Appointment management. The calendar feature helps doctors track appointments and allows patients to browse available slots to book visits. A seamless experience for everyone involved!

Push notifications. Designed for both healthcare workers and patients, these features act as reminders for upcoming appointments and medication alerts.

In-app chat. With in-app chat, users can easily connect with healthcare managers or doctors. It enables faster communication, making healthcare more accessible and efficient.

Video consultations. The shift to video call appointments came as a safer alternative during the pandemic when in-person consultations posed higher risks. Now, this option saves time for doctors and patients and lowers the chance of spreading illnesses.

EHR integration. Each medical visit or procedure adds to a patient's treatment history, stored in an EHR (electronic health record) system. Including an EHR system in your app is vital for delivering the best care and streamlining the process for future healthcare providers treating the patient.

E-prescriptions. As consultations move online, doctors should also be able to prescribe medications digitally, which cuts time waiting in key and frees up doctors' time. Another benefit is that e-prescriptions are more secure and difficult to forge.

Payment gateway. Paid medical services go hand in hand with in-app payments. Thus, opt for payment gateways that accept credit and debit cards, digital wallets, crypto payments, and other alternative methods.

Ratings and reviews. Designed for patients, this feature simplifies selecting a trusted professional who fits their specific requirements.

Challenges in Healthcare App Development

Healthcare app development faces several challenges that can hinder progress.

Non-Compliance with the Law.

HIPAA and FDA regulations safeguard personal data and guarantee the safety of products. Failure to follow these rules leads to financial penalties and the erosion of trust. To ensure compliance and avoid penalties, businesses must consult legal experts.

Lack of Security.

Hackers can quickly access sensitive data, such as customer information or financial records, when business security systems fail. Businesses can suffer reputational damage and financial losses due to this. To prevent this, businesses must improve their security and work with tech experts.

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Presence of Multiple Channels and Devices.

Multiple channels and devices present integration challenges since they operate on unique systems and protocols while meeting different requirements. Differences between technology standards and data formats trigger compatibility problems that need additional effort to fix.

Marketing and Launch Cost of Healthcare Application

Depending on scale and strategy, a healthcare app's marketing and launch costs can range from $5,000 to over $100,000. Key cost components include:

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Market Research: $5,000 to $15,000 for analyzing market needs and competition.
Launch Campaigns: $5,000 to $100,000 based on scope and platforms.
User Acquisition Costs: Cost per install (CPI) ranges from $1.42 to $3.75, varying by advertising platform (e.g., Google Ads, Facebook Ads).

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Effective budgeting is essential for a successful launch and user engagement.

Business and Monetization Models of Healthcare Apps

Since healthcare thrives on digitalization, many people have at least one app on their devices. However, the competition for user attention takes high stakes. The question arises: How can we promote and monetize mhealth apps?

Below, we have listed some of the most common business and monetization models:

Freemium Model

The freemium healthcare app offers a basic version and charges for premium features like advanced health evaluations. This model promotes rapid market penetration and attracts a large user base. In the long run, it drives sustainable revenue by converting a percentage of free users to paid tiers.

Subscription Plans

Subscription models work best for healthcare apps offering ongoing value. Tiered pricing can include basic tracking features, fitness coaching or telehealth services, access to a library of health articles, and premium telemedicine services with personalized health plans. Before enroll this model, ensure its pricing reflects the app's unique value proposition.

In-App Purchases

Even though it has a complicated deployment architecture, it is an incredibly lucrative way to monetize the app. In short, this model helps to upsell extra features or content within the app. Thus, users can purchase in-app items such as extra lives in games, extra workouts in fitness apps, or pre-paid visits and prescriptions in mhealth apps.

Also, businesses often sell branded merchandise or partner with other brands via in-app purchases to promote themselves more.

Telemedicine Consultations

The pandemic marked the popular era of telemedicine. Now, many apps offer video consultations with subscription plans or pay-per-consultation fees. However, the healthcare specialists' credentials and licenses are the most important. They are the foundation of brand trust and revenue.

Advertising and Sponsorships

Healthcare apps monetize through strategic sponsorships and expert content. Targeted advertising creates win-win partnerships. It lets companies reach specific audiences and generate app revenue.

Partner with medical experts to create credible content, like articles and videos. This strategy will boost the app's credibility, expand its reach, and diversify revenue.

Pay-per-usage Model

The pay-per-usage model, common in SaaS, is now being implemented in healthcare apps. This cost-effective approach allows users to access healthcare resources and pay only for their actual usage, avoiding the commitment of a subscription. Which often results in user trust and brand loyalty.

These models can be mixed and matched depending on the target audience and specific functionalities of the healthcare app. However, first things first, robust business and monetization require a consistent content publishing strategy and tools to publish high-quality medical content regularly.

Healthcare App Development in a Nutshell

Indeed, healthcare apps are transforming digital health with more accessible and intuitive tools. From telemedicine and health trackers, the healthcare app development cost varies by type, scope, team, and overall business aim.

But the truth is one. Building a successful mobile health app requires strategic planning, research, and expertise in medical software development combined with a significant investment. This is especially true since medical app development costs go beyond initial creation, including planning, regulatory compliance, and ongoing maintenance.

Effective apps demand resource management and collaboration with experienced teams. A smart approach can help businesses develop impactful solutions that benefit both patients and healthcare providers.

Partnering with Darly Solutions enables companies to create healthcare apps that meet technical standards while delivering real value in digital health.

Build Your Healthcare Application With Darly Solutions

From market analysis to launch, Darly Solutions uses a strategic 5-step process to build high-quality healthcare mobile apps tailored to your audience. Follow us:

Market & User Analysis: We help you understand your target audience (patients, doctors, etc.) and analyze existing apps to identify opportunities.
Planning & Business Analysis: We collaborate with you to define the app's concept, business goals, technology, and resources, ensuring alignment with your strategy.
Design & Prototyping: We design user-friendly interfaces and develop prototypes to validate requirements and gather feedback.
Development & Testing: Using Agile methodology, we build and rigorously test the app in iterative sprints.
Release & Support: We handle app store publication system integration and provide ongoing maintenance and support.

For now, don't settle for less. Darly Solution is here to help! Reach out today to discuss your project in detail.

Design

Remote Patient Monitoring Software Development: Strategies for Success

Explore the best practices and emerging trends in remote patient monitoring software development. Learn how to build effective, secure, and user-friendly solutions.

January 16, 2025

min read

Remote Patient Monitoring Software Development: Best Practices & Cost | Darly Solutions

With the global aging population and the rise of chronic diseases, the remote patient monitoring market is booming as ever. From 2023 to 2024, it grew from $30.97B to $36.31B. And it won't stop here. Insider Intelligence predicts 70.6M US patients will use software for remote patient monitoring by 2025.

We can't overstate the importance of remote patient monitoring software. Such apps improve access to care, reduce hospital readmissions, and help save up to 60% on hospital visits, which results in higher-quality treatment in the comfort of patients' homes.

And benefits don't end up here. With ongoing digitalization via IoT and modernization of the healthcare system, don't wait for the best time for remote patient monitoring software development. The best time is now.

We've detailed remote patient monitoring apps below and covered their benefits, architecture, and top examples. You'll also see how Darly Solutions crafted an app for the health tech company. Read on, and stay tuned.

RPM monitoring software — is a digital tool for wearables, mobile apps, and medical devices that collects, analyzes, and shares patient data with medical personnel. Heart rate, blood sugar, and oxygen levels are among the most vital metrics. RPM software scores help catch health issues early, manage chronic conditions, and aid post-operative recovery.

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Step-by-step strategies for building remote patient monitoring software that ensures reliability, security, and usability

How remote patient monitoring software works

From heart rate to blood glucose, each RPM system is designed to monitor a specific aspect of the body. However, elements included in any remote patient monitoring software development are typically the same. This is how the RPM system works:

Collects and exchanges data.
Once calibrated, the devices send the data from the patient to the provider. The devices must have a Wi-Fi or LTE adapter for successful transfer. The data can also be sent via Bluetooth to IoT mobile apps via RPM devices.
Centralizes storage.

The provider securely stores the data collected from various sources, including patient devices, analytics systems, and e-medicine.

Analyze.
The data is processed using advanced AI for management and analytics. Alerts are sent to caregivers, providers, and patients as needed, per their preferences.
Broadcasts.

Remote monitoring systems become telemedicine platforms when integrated with communication features like video conferencing, simplifying doctor-patient interaction.

Sends emergency notifications.
When doctors identify health issues requiring daily monitoring, they oversee the data collected by the RPM system. Notably, it can notify emergency services if a patient needs urgent care. For non-urgent cases, patients can receive instructions for the next steps. However, HIPAA and similar regulations may restrict including sensitive patient information in certain notifications to protect privacy.

Why build remote patient monitoring software? Key advantages

Nevertheless, the RPM is part of the broader automation revolution; it has universal healthcare benefits overall. Let's examine the main of them:

Better access to health services

With remote patient monitoring software, medical services have no geographical boundaries. Patients can get timely medical attention at home and manage their health, fostering a greater sense of control under health conditions.

Improved patient outcomes

A study found that RPM cut hospital admissions for chronic care complications by 19% to 41%, which results in improved patient outcomes.

Cost-effective care with reduced readmissions

The average cost of hospital readmission is about $15,200, which makes the prevention of readmissions through remote patient monitoring software financially beneficial for both patients and providers. Even more, it is a well-established fact that early detection generally translates to lower healthcare costs.

Better client engagement and satisfaction

Over 94% of patients are satisfied with RPM's care. It sparks their curiosity about their health and boosts engagement. Such an increased sense of involvement often inspires commitment to treatment plans.

Early detection and timely intervention

The CDC reports that RPM can cut chronic disease complications by 40%. This highlights the need for swift intervention to reduce health risks.

Components of remote patient monitoring software

There is no one-fit RPM soft, as it differs in nature. However, each patient monitoring system generally has 3 to 5 basic components. Let’s delve into them:

Personal monitoring devices

From continuous glucose and heart rate monitors to blood pressure cuffs, digital scales, and peak flow meters.

Patient-side mobile applications

Prioritize user experience, making it easy for patients to access their health data. Additionally, they offer features like medication reminders and secure chats with healthcare providers.

Cloud database

Cloud repositories allow healthcare providers to store large patient data securely. They are scalable and accessible, adapting to growing datasets for long-term monitoring.

Hospital-side web app

These applications are part of hospital management software. They ensure compliance, enable integration, and support decision-making. Additionally, they offer reporting, notifications, and analytics to improve patient care.

Other modules

These comprise decision support systems, reporting tools, notification systems, and analytics platforms.

Essential features in remote patient monitoring solutions

Here are the essential features of a remote patient monitoring (RPM) solution:

Real-time tracking of patient vital signs

Wearable sensors, fitness trackers, blood pressure monitors, and glucose meters perfectly gather and handle real-time health metrics. Then, this data is sent to healthcare providers and added to Electronic Health Records (EHRs) for timely interventions and informed decisions preventing complications.

Intuitive interfaces and user-friendly features

Machines must be easy to set up, a breeze to wear, and simple to operate. Meanwhile, patients should access their data effortlessly through a smooth web or mobile app to track their progress. This connection allows seamless communication with healthcare providers, ensuring everyone's on the same page.

Accessibility features

Ultimately, create a system with all users in mind. Consider accessibility guidelines like WCAG and CVAA to pave the way for inclusive innovation. Encompass voice control for effortless data entry, navigation, and text-to-speech features to support people with dyslexia and other disabilities. Moreover, a patient-first design shines with screen reader compatibility, high-contrast modes, and a crystal-clear interface.

Personalized risk alerts and reminders

For swift and customizable alerts, the RPM system must adjust thresholds. For example, alerts can be sent when vital signs fall outside preset limits. This enables timely intervention to reduce the risk of adverse events.

Safe data transmission and storage

Patient data security is a top priority in remote patient monitoring software development. Thus, apps must comply with all regulations like HIPAA, as they protect the privacy and security of patient data and save from hefty fines.

Smooth EHR integration

EHR integration allows the automatic transfer of RPM data, giving healthcare providers access to complete patient histories for better decision-making and outcomes.

Reports and analysis of patient health data

Advanced analytics and reporting in remote patient monitoring software development provide valuable data insights for healthcare professionals (for data-driven decisions) and patients (to motivate healthier choices).

The architecture of a remote patient monitoring system

Remote health monitoring systems are designed with a multi-layered architecture. Basically, it has five core components that enable uninterrupted data flow within the system. Let’s break into the point of the whole structure:

Core architecture of a remote patient monitoring system, featuring IoT integration, real-time alerts, and telehealth support

Smart-connected sensors for health tracking

The sensor layer comprises remote monitoring devices such as EKGs, sleep trackers, smartwatches, and blood pressure monitors. Then, they transmit this data to the dedicated mobile app via Bluetooth or to the cloud via the Internet.

Patient interface

Patient-facing RPM apps collect real-time health data from connected medical devices, allowing manual entry of symptoms and medication intake. RPM apps often include data visualizations for tracking health trends and may have integrated telemedicine features, such as video conferencing for appointments, follow-ups, prescriptions, and virtual consultations.

Cloud RPM server

Cloud services form the core of RPM systems, providing secure storage, processing, and data analysis from devices and the RPM app. This engine also integrates with EHR systems to access patient health information (PHI) in FHIR format. It can identify trends, such as early signs of complications.

Medical staff dashboard

Patient data flows bidirectionally between the medical staff interface and the cloud RPM server, enabling effective management by care teams.

Data visualization module.
Via charts and graphs that show trends in vital signs, medication adherence, and other data, the module gives providers a 360-degree view of the patient.
Alert management module.
The system promptly alerts clinicians to critical situations and device failures in real-time.
Reporting module.
The module generates custom reports on patient data, which hugely help track progress and gain insights over time.
Communication module.
This module has two-way messaging, video chat, and/or telephony integration and is made for secure, remote communication between clinicians and patients.
Appointment management module.

This module handles appointment scheduling and patient-provider communication, allowing both patients and providers to request appointments.

Depending on the organization's needs, a doctor-facing RPM interface can include other modules, such as patient management, care plans, and patient education.

Admin web panel

A key part of the RPM architecture is a control dashboard. It helps with admin tasks like configuring roles, managing patients, and setting alarms.

Remote patient monitoring software development: Key steps

Once you have a clear idea for your software product, find an experienced dev company to implement it. When contacting your tech partner, you don't need detailed software requirements. A high-level understanding of the functionalities is enough to get started for any custom healthcare software development services stages. Let’s break them down:

Key steps of remote patient monitoring software deployment, ensuring data security, user-friendly design, and scalability.

Step 1: Requirement collection and analysis

The process starts by refining your product vision. Then, define project goals based on the health conditions your RPM solution will address. Your team will then identify core functions, pick the best tech stack, and plan the app's architecture. If integration with systems like EHRs is required, your tech partner will ensure compatibility.

Step 2: Outlining security and compliance requirements

Remote patient monitoring software must follow HIPAA and FDA rules. The development team implements audit trails, encryption, secure cloud storage, and APIs for secure communication to ensure data security and privacy. They also define a testing strategy for the pre- and post-production phases.

Step 3: Prototyping and design

To create an intuitive, user-first staff interface, UX/UI teams conduct user research to define user personas and journeys. Based on this research, designers create a prototype reflecting both the initial vision and user needs, gathering feedback on the user experience. The team prioritizes a clean, engaging, and accessible design. Based on feedback, they will refine the prototype and send the final designs to the dev team.

Step 4: Development and integration

Tech experts will use best practices to develop your RPM system iteratively to meet regulatory compliance. This work may include front and backend components, patient and doctor apps, and integration of medical devices.

Step 5: Testing

When it comes to RPM development — thorough software testing is as important as the development itself. After testing, developers should prioritize IoMT device compatibility. They must also ensure smooth integration with the RPM system for the most stability.

Step 6: Ongoing improvements

After deployment, the dev team monitors and tunes the RPM system to meet business and tech needs. They provide training and support for patients and healthcare professionals.

Beyond monitoring and troubleshooting, your tech team will prepare a roadmap for software updates. This will enhance the system's features and security in the future.

RPM Software Deployment: Challenges and Practical Solutions

Let us explore the most notable challenges organizations encounter while deploying their RPM.

Regulatory compliance

RPM's compliance with HIPAA and GDPR relies on strong data security and privacy. It must meet standards like ISO 27001 and IEC 62304 for this.

What to do:

Develop a comprehensive compliance framework according to all requirements like HIPAA, GDPR, FTC (Federal Trade Commission), FDA regulations, and more.
Conduct regular audits and assessments outlining clear policies and protocols for staff.
Provide ongoing staff training to ensure they are aware of their responsibilities.

Data security and privacy

Healthcare organizations handle sensitive patient data (vitals, medical history, personal details, reports, treatment plans). Unauthorized access poses the risk of data breaches and subsequent fines that could total millions of dollars.

What to do:

Use encryption techniques of RPM-collected data, telehealth appointment recordings, and other sensitive patient health data.
Implement strong authentication and role-based access.
Regular audits and security assessments.
Conduct employee and patient training.
Adopt role-based access control (RBAC)

Technology integration and compatibility

Outdated systems may lack compatibility, hindering integration and impacting data accuracy and security. Integrating EHR and clinical systems can also be difficult, affecting data sharing and patient care. Ensuring interoperability for seamless data exchange adds another layer of complexity.

What to do:

Assess current infrastructure compatibility.
Follow interoperability standards and protocols.
Adopt HL7 and FHIR standards.

Cost-benefit analysis

RPM implementation presents a cost-benefit challenge for healthcare organizations. While offering benefits like improved outcomes and enhanced care, the substantial upfront investment in hardware, software, infrastructure, licensing, staff training, regulatory compliance, and data security must be carefully weighed.

What to do:

Conduct thorough cost assessments.
Estimate ROI and potential cost savings.
Strategically allocate resources.

Data precision and accuracy

Inaccurate data transmission from RPM devices (e.g., wearables) poses a significant challenge, potentially leading to misdiagnosis and compromised treatment. Several factors can affect data accuracy, including device calibration, signal interference, network issues, and device quality.

What to do:

Choose quality sensors and wearables.
Regularly calibrate devices.
Implement quality assurance measures.

Lack of patient engagement

Some patients fear switching to modern healthcare and its tech just because they are used to in-person hospital visits. Thus, using the devices, checking vital signs, and messaging the doctor may be hard for the patients.

What to do:

Prioritize a user-friendly interface.
Craft tutorials for device usage and RPM data analytics interpretation.
Incorporate gamification elements (e.g., badges, progress tracking) to incentivize engagement.
Bridge language barriers for diverse patient populations by providing support in multiple languages.

RPM software development cost

The cost of developing Remote Patient Monitoring (RPM) software varies based on complexity, features, and the development team's location. Here’s a breakdown of the estimated costs associated with RPM software development:

Basic RPM application ranges from $50K – $70K.
Standard RPM software ranges from $100K – $400K or higher, depending on the specific requirements and features.
Costs can be $500K or more for advanced solutions with complex systems and integrations.

Both building an in-house tech team and outsourcing software development come with significant costs: salaries/recruitment expenses versus hourly rates and vendor fees. Without proper research, you risk overpaying for a software solution — whether through in-house hiring costs or outsourcing fees — or settling for a product that doesn't meet your requirements.

To calculate the precise budget for your RPM software development idea — please fill out this form. We will contact you shortly.

Best RPM software

Here are some popular remote patient monitoring use cases that might inspire you for your own:

CoachCare

CoachCare was founded over a decade ago, now supports over 3,000 organizations, and serves over 150,000 patients. Boasting a remarkable RPM, it claims a success rate exceeding 95%. It advocates for RPM coverage and collaborates with groups like CMS and AMA. CoachCare's tech lets patients log vital health metrics via an app. Its simplicity boosts engagement. Experts recognize its support of the healthcare industry.

Healee

Healee is a health tech company founded in 2017, now handles over 700,000 visits per month, both onsite and virtual, and supports 5,000 physicians across 200 clinics. With EHR, e-prescription, and billing integrations, the Healee platform streamlines healthcare delivery in wellness, mental health, chronic care, and women's health.

Doctolib

Founded in Paris in 2013, Doctolib is a top healthcare booking platform. It serves over 400,000 providers and 50 million users. It handles 70 million monthly bookings in France, Germany, and Italy. It offers appointment scheduling, telemedicine, and patient messaging. These services reduce missed appointments by 60% and save doctors 1.5 hours per week on administrative tasks.

Senseonics

This company revolutionizes blood glucose monitoring. The system features a sleek, removable transmitter and a sensor expertly implanted under the skin by a healthcare pro. Connected to a mobile app, the sensor offers real-time insights, alerting patients through their smartphones or smartwatches when their glucose levels are too high. Sharing data with healthcare providers and family members becomes a breeze, ensuring optimal treatment strategies.

Currently, around 6,000 users benefit from the Eversense CGM system. By 2025, Senseonics aims to double that number.

With a smart implantable sensor, Senseonics’ Eversense CGM provides real-time glucose monitoring and instant mobile alerts

Teladoc

Established in 2006, this Hoboken, New Jersey-based powerhouse is revolutionizing healthcare. With an extensive network of licensed professionals, HRS proudly claims the #1 spot in KLAS’ ‘Top Remote Patient Monitoring Companies’ from 2020 to 2023.

HRS offers its innovative PatientConnect platform, featuring over 90 tailored RPM plans for healthcare providers. Beyond monitoring, HRS embraces holistic care, providing behavioral health services like therapy and psychiatry, ensuring a comprehensive touch on every aspect of patient wellbeing.

Teladoc’s digital platform connects patients with doctors, offering telehealth, mental health support, and remote monitoring

Improving patient outcomes with RPM software: A case by Darly Solutions

In particular, the health tech company approached us about remote patient monitoring software development. They faced challenges with patient tech literacy, especially among the elderly. There was a risk of data overload for providers. Patient engagement was inconsistent. There was a need for system integration, like with EHRs. Plus, they had to ensure data privacy and security (HIPAA compliance).

Since the deadline was tight and there were a lot of high-precision requirements — we created a detailed plan for the project, assigned UX/UI design, web development, QA, and project management tasks, and pinpointed the tech stack.

Technology stack

We understood that choosing the right technology stack was crucial for success. After thorough consideration, we selected:

Angular: For building dynamic web applications.
HTML/CSS: For structuring and formatting the user’s interface.
Docker: To streamline deployment through containerization.
ngRx: For effective state management.
TailwindCSS: To enable rapid UI development.
NGX Pagination: For efficient handling of large datasets.
JSON: For smooth and efficient data transfer between client and server.

Our efforts paid off. We launched the product on time, meeting all design, functionality, and quality standards. Our client now has a competitive product that is well-placed to thrive in the innovative telemedicine sector.

Read the details of the case here.

Wrapping up

Rising public interest, health concerns, and tech advances drive the RPM market to new heights in solutions and revenue. As we noted earlier, these technologies enable 24/7 health monitoring. They also provide remote populations with access to quality treatments.

Doctors, nurses, and other healthcare staff should focus less on routine, manual tasks in the next few years. They should focus on saving lives and providing treatment, which RPM can support perfectly. It can greatly reduce burnout and ease stress on global healthcare systems while driving market share to higher results and stakeholder benefits.

This is a great time if you're considering developing your RPM solution.

Webflow vs. WordPress: Choosing the Best Platform | Darly Solutions

Webflow or WordPress: How to Choose the Best Platform for Your Website

September 1, 2023

min read

In web development, selecting the right platform is key. Webflow and WordPress each offer unique advantages tailored to different needs. This article compares these platforms to help you make an informed decision for your project.

Webflow

Webflow is an innovative platform that allows designers and developers to create impressive and responsive websites without the need for extensive coding knowledge. Its intuitive drag-and-drop interface offers a refreshing approach to web design, allowing users to visually craft layouts and interactions.

Advantages and Key Features of Webflow

Webflow is designed to empower designers and developers with its comprehensive suite of tools. From crafting visually stunning layouts to managing content and e-commerce effortlessly, Webflow simplifies every aspect of web creation:

Visual Design Capabilities: Offers a user-friendly interface for creating pixel-perfect layouts and custom styling without extensive coding.
Responsive and Interactive Design: Creates designs that automatically adjust to different devices and allow adding customized interactive elements and animations.
Integrated CMS and E-commerce: Offers comprehensive tools for managing content and building online stores, supporting dynamic, content-rich websites.
Clean Code Generation: Produces clean, efficient HTML, CSS, and JavaScript, enhancing site performance and SEO.
Simplified Hosting and Publishing: Makes website deployment quick and efficient, directly from the platform.

Drawbacks of Webflow

While Webflow is a powerful tool for website design, it comes with certain limitations that might affect its suitability for some projects:

Pricing: Webflow may be costlier than alternatives like WordPress, especially for hosting and advanced features, which could strain the budgets of smaller projects or independent creators.
Learning Curve: Despite its user-friendly design interface, Webflow can be challenging to master for those new to design principles or who need to use its more advanced functionalities.
Limited Extensions: Webflow has fewer third-party integrations and plugins compared to WordPress, potentially restricting its ability to meet specific customization needs or add unique functionalities.
Scalability: While suitable for medium-sized projects, Webflow may not offer the same level of flexibility for hosting or scaling up large websites as some other platforms.

Webflow Websites Examples

Webflow's powerful design tools are used by a diverse range of businesses to improve their online presence and make digital interactions more efficient. Here are some examples of big companies from different areas using the power of Webflow:

Dell Design System - An online resource for designers and developers, providing Dell-branded design assets, patterns, and guidelines to ensure consistent and high-quality user experiences across Dell's products.
DropboxSign - An electronic signature platform that offers intuitive signing, sending, and managing documents online. Integrates with tools like Google Drive and Salesforce, maintaining high security and compliance standards.
Michael Kors - A luxury fashion brand utilizing Webflow for the presentation of their seasonal collection. Features include Runway videos, a detailed Lookbook, and a direct link to their e-commerce site.

WordPress

WordPress is a long-standing leader in the web development landscape. It offers a dynamic ecosystem of themes, plugins, and customization options, addressing a wide range of website requirements, spanning from blogs to corporate portals.

Advantages and Key Features of WordPress:

WordPress stands out for its flexibility and wide range of functionalities that cater to diverse website requirements. Here we highlight the platform’s main features that enable users to effectively tailor, manage, and enhance their websites:

Flexibility: WordPress's extensive library of themes and plugins provides incredible flexibility, enabling users to tailor their websites to specific needs.
Content Management: WordPress excels as a content management system, making it ideal for bloggers and content creators.
E-commerce: With the WooCommerce plugin, WordPress can handle e-commerce needs effectively, and its vast plugin directory allows for various functionalities.
SEO Optimization: WordPress offers plugins and features that facilitate search engine optimization, helping websites rank better in search results.
Large Community: WordPress boasts a massive community of developers, designers, and users, ensuring ongoing support, updates, and resources.

Drawbacks of WordPress

While WordPress is a flexible and powerful platform, managing it effectively comes with certain challenges. These drawbacks can affect the efficiency and security of websites, especially if not properly addressed:

Security Issues: WordPress sites can be vulnerable to security threats if not properly maintained, especially due to outdated plugins or themes.
Performance: Without proper optimization, WordPress sites can suffer from slow loading times, particularly as the number of plugins and customizations increases.
Maintenance: Keeping a WordPress site updated with all the latest plugin and theme updates can be time-consuming and requires regular attention.
Plugin Overload: While the vast number of available plugins allows for extensive customization, relying too heavily on them can lead to compatibility issues, potential security vulnerabilities, and a decrease in site performance.

WordPress Websites Examples

WordPress empowers a wide variety of businesses and organizations to manage their online content effectively. Here are some standout examples of how leading organizations use WordPress to manage and enhance their digital presence:

TechCrunch is a leading technology news site that uses WordPress to manage and publish extensive content efficiently.
Sony Music represents how major corporations use WordPress for content-heavy websites with a need for robust content management systems.
The TED Blog uses WordPress to manage its rich content, including articles and TED Talk summaries, effectively integrating multimedia elements to engage a global audience.

Summary

In conclusion, when considering Webflow or WordPress, your choice depends on your specific needs. If you're a designer seeking a seamless blend of creativity and functionality, Webflow stands out. Its responsive capabilities, dynamic interactions, clean code generation, and user-friendly hosting make it a prime choice for creating websites that captivate and engage visitors. While WordPress's content management system versatility and vast ecosystem are valuable, Webflow's focus on elevating the design process and simplifying development workflow make it the preferred platform for those aiming to craft visually stunning and interactive websites without diving deeply into coding intricacies. Whether you're an experienced designer or a novice, Webflow empowers you to bring your web design visions to life.

Guidelines for Building an Apartment Management System | Darly Solutions

An In-depth Guideline to Building a Custom Apartment Management System

June 27, 2023

min read

In today's fast-paced world, managing apartment complexes requires efficient and optimized processes. A custom apartment management system can provide the perfect solution to address the unique needs of your property. Today, we will dive deeper into the process of building a custom apartment management system, including a review of existing systems, an exploration of useful features and an analysis of the potential integration of ChatGPT for enhanced functionality and renter satisfaction.

In order to create an effective custom apartment management system, it is crucial to thoroughly assess the specific requirements of your property. Consider factors such as the number of units, tenant communication preferences, rent collection methods, maintenance management needs, accounting processes, and reporting requirements. By gaining a deep understanding of these needs, you can design a solution that addresses them efficiently.

Existing Systems and Notable Features

Before starting the development process, it would be quite useful to review existing apartment management systems. This step allows you to gain insights into industry standards, best practices, and successful functionalities. Here are several popular systems worth considering:

1. Buildium: It’s a widely recognized property management platform that caters to various property types, including apartments. It offers a comprehensive suite of functionalities, including tenant portals, online rent collection, maintenance tracking, accounting tools, and robust reporting capabilities. Its user-friendly interface and intuitive design make it a popular choice among property management professionals.

2. AppFolio Property Manager: It’s a cloud-based property management platform that supports apartment management needs. It provides tools for online rent collection, lease management, maintenance requests, and accounting. AppFolio is recognized for its intuitive interface, mobile accessibility, and ability to optimize various property management tasks.

3. Yardi: It’s a leading provider of property management software with solutions tailored to multifamily apartments. Their software includes features such as vacancy management, lease tracking, maintenance scheduling, financial reporting, and integration with popular accounting software. Yardi is known for its scalability, industry-specific expertise, and wide adoption in the real estate industry.

By reviewing these systems and understanding their features, you can identify elements that align with your complex's requirements and incorporate them into your custom apartment management system. Conducting thorough research, reading user reviews, and consulting with industry professionals will help you make an informed decision and create a tailored solution for your apartment management needs.

To ensure your custom apartment management system maximizes efficiency and meets the needs of your project, consider incorporating the following trending features:

4. Tenant Portal: A secure online portal where tenants can access lease agreements, submit maintenance requests, view payment history, and communicate with the management team. This feature enhances convenience, improves tenant satisfaction, and fosters efficient communication.

5. Rent Collection Automation: Integrate online payment gateways and automated reminders for rent collection. This streamlines the process, reduces manual effort, and minimizes the chances of payment delays. It ensures consistent cash flow and improves overall financial management.

6. Maintenance Request Management: Implement a system that allows tenants to submit maintenance requests online, tracks the progress of requests, and provides real-time updates. This feature ensures prompt resolution of issues, reduces administrative burden, and enhances tenant satisfaction.

7. Accounting and Financial Management: Incorporate features for tracking rent payments, generating financial reports, managing expenses, and automating accounting tasks. This functionality simplifies financial management, ensures transparency, and facilitates efficient budgeting.

8. Document Management: Establish a centralized repository for storing and managing important documents, such as leases, contracts, and tenant records. This feature ensures easy access to essential information, reduces paperwork, and enhances overall organization.

9. Communication and Notifications: Integrate a system for sending automated communication and notifications to tenants. This can include reminders for rent payments, maintenance updates, community announcements, and emergency alerts. Effective communication strengthens tenant relationships and promotes a sense of community.

Stage of Development

When it comes to constructing a custom apartment management system, it’s important to carefully choose a programming language that aligns with your specific needs and even more important to find a proficient developer team. With a large selection of developer tools and technologies available, it's essential to select those that have consistently demonstrated maximum productivity. Drawing upon our extensive experience, we take great pleasure in presenting a thoroughly chosen array of highly efficient technologies that have repeatedly proven their relevance and usability over the years:

JavaScript, PHP, Database, API, Frameworks, Cloud services, Darly Solutions

1. JavaScript: It’s is essential for front-end development and can be used with frameworks like React or Angular for building interactive user interfaces.

2. PHP: It’s a server-side scripting language commonly used for web development and has frameworks like Laravel that provide a solid foundation for building complex applications.

3. Database Management Systems: Selecting the right database management system (DBMS) is crucial for storing and managing data in your apartment management system. Some popular choices include:

MySQL: An open-source relational database management system that is widely used due to its performance, scalability, and ease of integration.‍
PostgreSQL: Another powerful open-source relational database system known for its robustness, extensibility, and support for complex queries.‍
MongoDB: A popular NoSQL database that offers flexibility and scalability, making it suitable for handling large volumes of data and accommodating future growth.

4. Frameworks and Libraries: Utilizing frameworks and libraries can significantly speed up development and provide a solid foundation for your apartment management system. Here are a few examples:

Laravel: A PHP framework known for its elegant syntax and extensive feature set, making it ideal for building complex web applications.‍
Angular: It’s a JavaScript framework for building dynamic web applications. It offers a modular architecture, reusable components, and built-in features like routing and form validation. It's a versatile choice for complex front-end development.‍
Bootstrap: A front-end framework that offers a collection of CSS and JavaScript components, enabling you to create responsive and visually appealing user interfaces.

5. API Integration: Integrating with external services and APIs can expand the functionality of your apartment management system. For example, you might consider integrating payment gateways, geolocation services, or messaging platforms to enhance tenant experiences and streamline operations.

6. Version Control Systems: Utilizing version control systems like Git or Mercurial can help you manage and track changes to your codebase effectively. This allows for collaboration among developers, easy bug tracking, and the ability to roll back to previous versions if needed.

7. Cloud Services and Hosting: Consider leveraging cloud services like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform for scalable and reliable hosting of your custom apartment management system. Cloud services offer benefits such as easy scalability, high availability, and robust security measures.

The Potential of Integrating ChatGPT

One exciting possibility for enhancing your custom apartment management system is the integration of ChatGPT. It can serve as a virtual assistant within your system, providing various benefits.

Tenant Support and Assistance

ChatGPT can handle common renter inquiries, provide information about complex policies and procedures, and offer assistance with general questions. This feature reduces the burden on property management staff, provides instant responses, and enhances tenant satisfaction.

Language Translation

With ChatGPT's language translation capabilities, renters with different language preferences can communicate effectively. It can translate messages, notices, and announcements into multiple languages, ensuring comprehensive and persistent communication.

Maintenance Request Sorting

ChatGPT can enhance the efficiency of the maintenance request process by assessing and prioritizing incoming requests, gathering necessary information from tenants, and categorizing the requests based on their level of urgency. This enables property managers to effectively manage and allocate tasks, leading to quicker response times.

Rent and Payment Assistance

ChatGPT can assist renters with questions related to rent payment methods, due dates, and payment history. It can provide automated reminders, generate payment receipts, and address payment-related concerns, improving the overall rent collection process.

Conclusion

Building a custom apartment management system tailored to the specific needs of your project is a worthwhile investment. By thoroughly assessing your requirements, reviewing existing systems, and incorporating trending features, you can create an efficient, user-friendly and comprehensive system. Choosing the right programming language, finding a proficient development team, and integrating technologies like ChatGPT can further enhance capacity of your project. With a custom apartment management system in place, you'll have the means to effectively manage your property, improve tenant satisfaction, and achieve overall success.

Custom-Made Software: Advantages and Development Process

June 23, 2023

min read

In today's rapidly evolving digital landscape, businesses and individuals constantly seek innovative ways to optimize their processes and enhance productivity. One key solution that has gained significant attention is custom-made software. Tailored specifically to meet unique requirements and objectives, it offers a large number of benefits compared to off-the-shelf alternatives that can limit your business's growth potential. Today, we are diving into the world of custom-made software, its advantages, and how it can revolutionize how businesses and individuals operate.

Understanding Custom-Made Software

The purpose of custom-made software is to offer a unique solution that aligns precisely with your needs and goals. Unlike standard software, which provides general functionality for a wide range of users, custom computer software is designed to align perfectly with unique workflows, business models, and user preferences. It is created from scratch, allowing complete control over its features, design, and integration capabilities.

Custom software can grow and evolve with your business. It can be designed to handle increased workloads, incorporate new functionalities, and seamlessly integrate with existing systems, ensuring long-term scalability and adaptability.

As for the user experience, it’s also optimized for your specific needs. Custom application software enhances efficiency and productivity by focusing on usability, intuitive design, and personalized workflows, leading to higher user satisfaction and engagement.

Mass-market software often includes unnecessary features and complexities, making it less efficient and harder to learn. Custom-developed software overcomes these challenges by offering user-friendly interfaces, streamlining processes, and automating repetitive tasks, significantly boosting productivity.

The advantages of custom-written software are that it offers enhanced security measures, guarding against potential vulnerabilities and ensuring heightened data protection. That is achieved through the implementation of strong encryption, access controls, and user authentication mechanisms, enhancing the security of sensitive data in custom-made software.

Planning Your Project and Managing Costs

Outline the Project Parameters

Clearly define the scope of your project by identifying the key features and functionalities required. Prioritize the must-have features and separate them from nice-to-have ones. That helps manage costs and ensures the development team focuses on the most crucial aspects.

Finances

Determine a realistic budget for your custom-made software development project. Consider complexity, development time, resources required, and ongoing maintenance costs. Discuss your budget with potential development partners to ensure alignment and feasibility.

Development Approach

Consider adopting an Agile development approach, such as Scrum or Kanban. Agile methodologies emphasize iterative development, allowing flexibility, frequent feedback, and continuous improvement. This approach helps manage costs by delivering software incrementally and adjusting priorities as needed.

Collaboration

Maintain open and transparent communication with your development team throughout the project. Regularly discuss progress, address concerns or changes, and provide timely feedback. Effective collaboration ensures that the software aligns with your expectations and minimizes the risk of costly rework.

Consider Long-Term Maintenance

Discuss post-development support options with your development partner and consider the need for future updates, security patches, and feature enhancements.

Unlike ready-made software that may require additional licensing fees or customization, a custom software tailoring solution that eliminates the need for unnecessary features and ongoing expenses. By partnering with a reputable development team and strategically planning your project, you can ensure the successful delivery of a custom-made software solution that meets your specific needs and unlocks new opportunities for your business.

How to Choose a Developer Team

When searching for a custom-made application software development partner, it is crucial to consider their knowledge, background, and previous work when evaluating their suitability. Look for developers with a deep understanding of your industry and a proven track record of delivering successful custom software solutions. Collaborating with an experienced development team will ensure a smooth and efficient process, resulting in a tailored software solution that meets your requirements and exceeds expectations.

Define Your Requirements

Clearly articulate your goals, functionalities, and budget before approaching a developer team. That will help you communicate your needs effectively and evaluate potential partners.

Look for Relevant Experience

Seek a developer team with experience in your industry or a similar domain. They will understand your unique challenges and have the expertise to deliver a solution that meets your specific requirements.

Check Portfolios and Client Feedback

Review the portfolios of custom-made software development teams to assess their previous projects and the quality of their work. Request references and reach out to past clients to gain insights into their experience working with the team.

Evaluate Technical Expertise

Assess the technical skills and proficiency of the developer team. Look for certifications, proficiency in relevant programming languages and frameworks, and a track record of successful software development projects.

Additionally, when considering developer teams for your custom software project, it's worth noting that specialists from Eastern European countries such as Ukraine or Poland are renowned for their high qualifications and expertise. For the reason that IT industry in these countries has experienced rapid growth and development over the years, resulting in a rich talent pool of skilled professionals.

Here are some reasons why specialists from Eastern Europe can be a valuable choice for your custom software development needs

reasons why specialists from Eastern Europe can be a valuable choice for your custom software development needs, Darly Solutions

High-Quality Expertise

Eastern European specialists are known for their strong technical skills, proficiency in programming languages, and up-to-date knowledge of industry best practices. They often possess advanced computer science and engineering degrees, ensuring high expertise.

Cost Efficiency

While offering exceptional skills and expertise, Eastern European specialists generally charge lower rates than their counterparts in North America or Central Europe. This cost advantage can be significant when working within a tight budget or seeking to maximize the value of your investment.

Communication Skills

English proficiency is widespread among IT professionals in Eastern Europe. That makes communication with the development team efficient and effective, ensuring smooth collaboration throughout the project.

The Development Process: Steps to be Followed When Building a Custom-Made Software

Requirements Gathering: Clearly define your goals, objectives, and functionalities. Discuss your vision with the developer team to ensure a shared understanding of the project scope.

System Design: The system design phase begins once the requirements are established. That includes designing the database structure, determining the architecture, and mapping the user interface (UI) and user experience (UX) elements.

Coding and Implementation: Qualified software engineers write the code, ensuring that the software meets the design specifications and incorporates any necessary integrations.

Backend Development: The backend is the "behind-the-scenes" part of the software that handles data storage, logic, and interactions with the frontend. Common technologies used in backend development include Node.js, PHP, and NestJS.

Frontend Development: The frontend is the visible part of the software users interact with. Technologies such as JavaScript, ReactJS, Angular, and Vue.js are commonly used for frontend development. These frameworks enable the creation of dynamic, responsive, and user-friendly interfaces.

Design: Design encompasses both the UI and UX aspects of the software. UI design focuses on the visual elements, while UX design ensures a seamless and intuitive user experience. Good design enhances usability and engagement.

Quality Assurance (QA): It involves thorough testing to identify and fix any bugs or issues. That ensures that the software functions correctly and meets the defined requirements. Testing is conducted at various stages of development to maintain high-quality standards.

Project Management: Project management ensures that the development process stays on track and meets deadlines. It involves effective planning, resource allocation, risk management, and stakeholder communication.

Deployment and Maintenance: Once the software has undergone thorough testing, it is deployed and available for use. Ongoing maintenance and support are provided to address any future needs or updates.

Here is a List With Brief Descriptions of the Key Technologies in Custom Software Development

List With Brief Descriptions of the Key Technologies in Custom Software Development, Darly Solutions

Databases (DB): DB store and organize data used by the software. Popular database options include relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Firebase).

React Native: UI software framework for building cross-platform mobile applications. It allows for code sharing and rapid development across iOS and Android platforms.

ReactJS: ReactJS is a popular JavaScript library for building user interfaces. It allows for component-based development, reusability, and efficient rendering, resulting in fast and responsive web applications.

Angular: It’s an efficient JavaScript framework for building scalable and feature-rich applications. It provides a comprehensive set of tools and features for building complex frontend applications.

Vue.js: It’s a progressive JavaScript framework known for its simplicity and flexibility. It allows developers to adopt its features and scale applications as needed incrementally.

Node.js: Runtime environment that enables server-side JavaScript execution. It provides a scalable and efficient platform for backend development.

PHP: Widely-used scripting language for server-side development. It is known for its simplicity, extensive library support, and compatibility with various database systems.

Ionic Framework: Popular framework for building hybrid mobile applications using web technologies like HTML, CSS, and JavaScript. It offers a single codebase for multiple platforms, reducing development time and costs.

Summary

In summary, custom-made software offers unmatched benefits in today's technology-driven world. By carefully selecting a competent developer team and following a well-planned development process, you can create a cost-effective solution that meets your unique needs, improves efficiency, and enhances user experiences. By following these guidelines, you can access the total capacity of tailored solutions for your business and unlock the full potential for growth and success!

Top 9 Essential Functionalities for Web & Mobile Apps | Darly Solutions

Top 9 Must-Have Functionalities for Web and Mobile Applications

June 16, 2023

min read

Developing a web or mobile app gives a business great opportunities and provides benefits in the form of additional dividends and audience loyalty. Having a clear understanding of the end goals, it is essential to define the main functionality of the future application to achieve the business goals and effectively perform setting tasks.

How to identify core functionalities for your web/mobile application?

Before developing an application, businesses must understand what features should be included in the finished product. The efficiency of the application itself and the speed of achieving the set KPIs depend on this. What may work for one company does not resonate with the business goals of other companies. In this list, we cover what you should consider when compiling a feature list:

1. Define your business goals

What goals do you want to achieve with the app? Make a clear list of the problems your app will solve, what target audience will use it, and what preliminary results you expect.

2. Research the market and competitors

Analyze the market in your niche to understand what functionality your competitors already offer. Research and analyze their applications to understand what advantages they offer and disadvantages their products have. That will help you determine relevant features for your app to stand out in the market.

3. Make a preliminary list of features

Before development, list those features that will help you achieve your goals. Divide them into core and optional features. In the core features, list the ones without which your app won't be able to function efficiently and solve the users' problem. In the optional ones, list the ones which are not essential to the basic functionality but can add value and competitive advantage.

4. Prioritize features

Determine which features in the application are most important to achieve your initial goal. Prioritize and determine which features can be added later in later app versions. That will help you focus on developing the more essential components.

5. Conduct user research

The research will help you understand the needs and preferences of your target audience. Conduct surveys, interviews, focus groups, or analysis of user behavior in your niche. Use this data to refine and tailor your feature list to your users' needs.

6. Create user scenarios

Develop different user scenarios to better understand how users will interact with your app and what features they need to achieve their goals. For example, define how users will sign in, log in, perform specific tasks, make purchases, or interact with other users.

Top-9 Core functionalities for every web/mobile application

Multi-Device Synchronization

It is a process in which different devices work together and exchange information so that the data and settings on all devices are the same or consistent.

When devices synchronize, they usually use the Internet to exchange data. For example, you might sync your smartphone with your laptop to update contacts, calendars, and photos on both devices. When you make changes on one device, those changes are automatically transferred to other devices so that all appliances have up-to-date information.

This makes working on multiple devices as easy as possible, gives you a significant advantage in the app market, and guarantees more users.‍

A User-Friendly and Responsive Interface

In addition to a functional set, it is vital to think about a pleasant design and clear navigation for the user's enjoyable and convenient use of the application. In this way, interaction with the application is easy and effortless.

The user-friendly interface has clear and easily accessible buttons and menus, well-organized information, and clear instructions. This allows you to perform the necessary tasks without unnecessary complications.

The responsive interface ensures that the system responds quickly to user actions. When you press a button or perform an action, the responsive interface responds instantly and without delay. Or when you scroll through a web page or type on the keyboard, the responsive interface displays changes instantly and smoothly, with no visible delays.

The success of an application is directly related to its loading speed and the attractiveness of the interface. This is what users look for when choosing a user-friendly app.

A Search Option

This feature allows you to find the information you want in the app or on a website. When you enter keywords or phrases related to what the user is looking for, the app scans its database or content to find relevant results.

The search option saves time and effort by helping to search for specific items or information the user is looking for instead of having to browse everything manually. This option is handy on significant marketplaces to search for a particular item.

Push notifications

Push notifications typically appear on the screen of any user's device in the form of small messages or icons, including text, images, or sounds. They are designed to get your attention and notify you of updates or social media activity.

They are convenient and essential because they help you stay informed and ensure you get all the important information. However, if the user receives too many notifications, they can become intrusive or distracting. Therefore, it is crucial to provide the ability to customize their settings, which the user will set independently according to their preferences.

Offline Capabilities

With offline access, users can browse the app's content even when the device is not connected to Wi-Fi or a mobile network. For example, you can view and edit documents, listen to music, or watch videos without the Internet.

It is often the case that you cannot connect to the Internet or have no network, for example, when traveling in regions with poor coverage or when saving data traffic. Therefore, this feature will be a great advantage for those users who want to use the application offline.

Analytics Tools

Analytics tools in a web or mobile app can track various user actions, such as app launches, page views, button clicks, interaction with interface elements, and other events.

Using this data, you can make informed decisions, make changes, optimize your app, and improve its functionality to meet user needs and increase the effectiveness of your app.

Security

Security refers to the measures and mechanisms built into the application to protect data and keep users safe. This process includes data encryption, protection against unauthorized access, and user information storage in secure locations.

This is a basic but important feature that will not only keep each user's data secure and protected but will also increase trust and loyalty to your app.

Online Payments

Online payments allow you to purchase in online stores, pay bills for services, send money to others, and much more. It is convenient because the user can make payments at any time and from any place with Internet access. To do this, it is necessary to connect an electronic payment system through which the payment will take place.

Due to the growing number of online stores, stores, and food delivery companies - the need to implement this function is increasing.

Integrations

Integration refers to the creation of links and interactions between different software components. This allows them to exchange data, transfer information, and use each other's functionality.

For example, suppose you have a hotel booking site. In that case, you can integrate it with maps and geolocation systems to offer users the nearest available hotels and show them on a map. Integrating various features and services into web and mobile apps makes the user experience easier and better.

Integrations help create more useful and powerful apps, extend functionality, and enable easy data exchange with other systems or services.

Summary

Mobile and web apps allow users to access information, interact with others, shop, automate workflows, simplify daily activities, and more through a user-friendly interface and unique features.

Which features you choose depends on your business, its needs, and the app's purpose. Everything is tailored individually. Combining all of the above features can be the perfect modern app to meet the needs of your customers. But if, for some reason, one of the items doesn't work for you, use something that will definitely increase the efficiency of your product.

Integrating Social Platforms into B2B Solutions | Darly Solutions

How to Incorporate Social Platforms Into B2B Solutions

June 2, 2023

min read

In today's world, social platforms have become an integral part of our everyday lives. They provide the opportunity to communicate, share information and create communities, making them a powerful tool for business. Their popularity and influence on modern society have led many companies to realize the potential of social platforms in the context of B2B solutions.

Let's break down the process of implementing such social platforms step by step:

Defining goals and requirements

The first step in developing social platforms for B2B businesses is to define specific goals and requirements for your project. You need to be clear about what features and capabilities should be available on your social platform. These include user profiles, sharing features, instant messaging, community building, and more. Determine what specific goals you want to achieve, such as expanding your network, attracting potential customers, or strengthening customer relationships. Understanding your goals will further guide your overall strategy and implementation. Prioritize and develop an action plan to address all the requirements of your B2B business.

Choosing the right technology platform

The next step is to choose the right technology platform for developing a social platform. Many frameworks and tools can help you in this process. For example, you can use popular open-source frameworks such as Ruby on Rails, Django, or Laravel or choose ready-made social platforms such as BuddyPress for WordPress or Sharetribe for developing marketplaces. The appropriate choice of technology platform depends on your needs and your company's capabilities.

Designing the architecture and database

After choosing a technology platform, it is essential to design the architecture of your social platform. This includes creating the database structure, defining modules and system components, and establishing interactions. A modular approach is recommended to ensure the flexibility and scalability of your social platform. Divide functionality into modules such as authentication, user profiles, messaging, community management, and others. This approach will simplify your platform's development, testing, and support.

Designing the user interface

The user interface is a key element of any social platform. Designing an attractive and intuitive user interface will help attract and retain users on your platform. Remember your company's brand identity when designing and ensure user-friendly navigation and clear and attractive interface elements.

Implementing functionality

At this stage, you can start implementing the basic functionality of your social platform. Provide the ability to customize user profiles, set access rights, filter content, and other features necessary to ensure the platform's security and usability. Create modules for registering users, creating profiles, sending messages, forming communities, and other elements that meet your requirements.

Integration with external systems

Integrating with external systems is a crucial step when implementing a social platform in a B2B business. Enable data exchange between the social platform and external systems to provide a unified flow of information and improve the efficiency of your business. These can be CRM systems, electronic payment systems, analytics tools, and other applications your company uses.

Testing and launching

Conduct thorough testing before launching your social platform to detect and fix possible bugs and issues. Perform functional testing, compatibility testing with various browsers and devices, and security testing. Once testing is successfully completed, you can begin launching your social platform. Install the necessary server resources and configurations, and configure the security and scalability of the system. As you launch, monitor the process and ensure all components work correctly.

Support and update

Developing and implementing a social platform is just the beginning. It's essential to continue to provide support and updates to your platform as needed. Regularly release updates, fix bugs, and add new features and enhancements to meet the needs of your audience. Provide timely support to users, answer their questions, and guide how to use the platform.

Analysis and optimization

Integrating social platforms into B2B solutions provides an opportunity to collect valuable data and metrics. Analyze this data to understand which features are used most often, what issues arise, and what improvements can be made. Use analytics tools to measure the effectiveness of your social platform and make informed decisions to optimize it.

Summary

Incorporating social platforms into B2B solutions can significantly benefit your business. However, for this process to be successful, you need to properly plan, design, and implement a social platform, taking into account your company's technical aspects and requirements. By following the steps outlined above and paying attention to detail, you can create a powerful tool to help strengthen your business connections, expand your customer base, and make your company more competitive in your business domain.

Build custom software VS Buy ready-made solution | Darly Solutions

Build Custom Software vs Buy Ready-Made Solution

May 26, 2023

min read

In today's world, companies are actively seeking ways to automate and optimize their business processes with the help of software. When choosing how to implement such solutions, the question arises is whether to create custom software or buy a ready-made solution. Both approaches have their cons and pros, but each has its own application for a specific purpose. The final decision on the choice between these approaches will depend on the client's individual needs and the business goals.

Let's look at both approaches in more detail, which may help to choose favor of one of them.

Build custom software

The essence of this approach is that the company orders software product development from an IT company's specialized development team. It has a clear plan of action and a list of requirements for the future product. Also, a digital product created from scratch can fully automate specific business processes of the client company, taking into account the specifics of the industry.

Pros of the approach

Tailored to individual needs

The company will receive a solution fully customized to its unique needs and requirements. That can be registration forms, buttons, visual elements, individual blocks, custom graphics or dashboards, unique designs, and more. The company can also define the required functionality, architecture, design, and integration with other systems according to specific business processes.

Flexibility and scalability

The customer company controls the whole development process and can make changes and expansions as needed. That allows them to respond quickly to changes in business requirements and scale the system as the company grows.

Security

Developers can implement data protection mechanisms and use advanced encryption methods to ensure high security in the finished system.

Ability to integrate

The development of a digital product from scratch provides the ability to fully integrate with the company's other systems. That allows for efficient data exchange between different systems and increases the overall efficiency of the client's company.

Ownership of intellectual property

The company has complete intellectual property rights associated with the created product. That gives the company control over it and the ability to develop and monetize it further.

Cons of the approach

High price

The development of any product usually requires a significant financial investment. A company must consider the cost of hiring experienced developers, conducting requirements analysis, designing, developing, testing, and supporting the product. That can lead to significant costs, especially for smaller companies with limited budgets. Nevertheless, a business development investment quickly pays off for the company.

Development duration

Creating software is a lengthy process, especially for complex and large-scale projects. The time required for requirements analysis, design, development, and testing can be significant, which delays the implementation and use of the finished product in the business.

When a business needs custom development from scratch

Customized needs

If a company has unique business needs that cannot be met by ready-made solutions on the market, developing a customized digital product allows them to create a solution that fully meets the requirements and goals of the company.

Competitive advantage

A unique software solution created specifically for a company can provide more efficient and innovative functionality, an engaging user experience, or improved processes, which helps stand out in the market and attract new customers.

Long-term strategy

Instead of relying on third-party vendors and ready-made solutions, a company can create a product that it can control, develop and scale according to its needs and changes in the business.

Business process optimization

Specialized software allows companies to automate routine tasks, improve interaction between departments and increase the company's efficiency as a whole.

Buy ready-made solution

Ready-made software solution usually has a wide range of functionality that can be applied to various business tasks. That allows companies to save development time and start using the software almost immediately after purchase. When choosing a ready-made solution, a company should carefully evaluate its functionality and flexibility to ensure it meets its basic requirements.

Pros of the approach

Customizable functionality

That includes adding modules, integrating with other systems, and customizing program parameters.

Time-saving

Digital turnkey products are already developed, tested, and ready to use. Purchasing this product saves the company's time they usually spend on requirements analysis, development, and testing solution.

Fast start-up

Ready-made digital products have already been developed and tested, allowing companies to use and benefit quickly. The company can quickly incorporate the product into its business processes and get results without waiting for development to be completed.

Low costs

Buying a ready-made digital product is usually cheaper than developing a solution from scratch. In this case, the company avoids the high costs of hiring developers, requirements analysis, and the development process, which can significantly reduce costs and improve budgetary performance.

Proven solution

Ready-made digital products are usually thoroughly tested and have a proven track record. By purchasing such a product, a company gets a proven solution that has already been used by other customers and has demonstrated its effectiveness.

Cons of the approach

Business process mismatch

The turnkey solution may not meet the company's exact needs or require additional customization and integration with existing systems. In some cases, the company may need help adapting the turnkey solution to specific business processes, which can result in a loss of time and resources.

Limited customization and integration

Ready-made digital products may offer limited customization and integration with other systems or applications to meet unique customer requirements, which may require additional modifications.

Vendor dependency

Buying a ready-made product can create dependence on the supplier of that product. The company will rely on the vendor for support, updates, and bug fixes if any are encountered. If the vendor is unable or unwilling to continue to develop and support the product, the company may find itself in a quandary.

High licensing costs

Buying a ready-made solution can incur significant licensing costs, especially if the company plans to use the product on several workstations or for a large number of users. That can impact the company's budget and reduce financial efficiency.

When a business needs to buy a ready-made digital solution

Urgency

When a company has urgent needs for a specific functional solution, buying a ready-made product can quickly meet those needs. That is especially true if there is no time or resources to develop their solution.

Limited budget

If a company has a limited budget to develop its digital solution, buying a ready-made product can be more cost-effective. It avoids the cost of development and hiring developers and reduces the risks associated with budget and development time.

No need for unique features

Buying a ready-made digital solution may be enough if a company doesn't require specific features and capabilities only available when developing its solution. If the solution offers all the features the company needs, it can avoid developing and testing its product.

Narrow specialization

Some industries have specialized, ready-made digital solutions designed for specific vertical markets or industries. In such cases, buying such a solution specifically tailored to the needs of an enterprise may be preferable because it already meets that industry's specific requirements and standards.

Summary

Ultimately, choosing between creating custom software and buying a ready-made solution depends on a company's specific needs and goals. If a company has unique business processes or needs full software customization, custom software creation may be preferable. That will allow the company to get a solution that best meets its requirements and contributes to optimizing business processes.

However, ready-made software may be the best option if a company requires a faster, more cost-effective solution. It is essential to carefully study the market for this kind of solution to choose the one that best meets the company's needs and is flexible enough to adapt to individual requirements. It's also important to consider company resources, budget, and timeline.

Ideally, companies can combine both approaches, using ready-made solutions as a foundation and complementing them with custom development to meet unique needs. For example, a company might purchase an off-the-shelf customer relationship management (CRM) system and complete it with the custom development of a module specific to its industry or business process. That strikes a balance between efficiency and flexibility.

Top Programming Languages of 2023 | Darly Solutions

May 19, 2023

min read

The year 2023 is when technology continues to overturn the existing order of things in the digital environment. Developers look for new ways to push development boundaries every year. From web development to machine learning, the languages we'll discuss today offer a wide range of possibilities and allow developers to turn their creative ideas into reality.

The most popular programming languages in 2023

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Languages, once considered groundbreaking, are becoming the standard, while new versions are constantly emerging to meet the needs of the most demanding projects of all sizes. The rapid development of the digital world in all areas of business and industries leads to a constant demand for powerful programming languages that can be used to create innovative products that simplify the work processes of any business. And also increasing the level of efficiency through the automation of work processes.

In this dynamic programming landscape, some languages are rapidly gaining popularity because of their strengths and ability to meet modern developers' needs. At the same time, some traditional languages remain relevant and continue to play an essential role in the programming world. It is important not to lose the balance between "classics" and new languages that complement the development process and make it more straightforward.

We analyze the top programming languages shaping the technology landscape of 2023 and enabling developers to build high-performance applications, create intelligent algorithms and machine learning, develop web applications, and process massive amounts of data.

Whether you're a seasoned programmer or just starting out in the development world, these popular languages offer you the opportunity to explore new horizons in technology. Let's take a look at what programming languages are worth learning and using in 2023 to stay at the forefront of innovation and successfully implement your projects.

Python continues to hold its position as one of the most popular programming languages. With its simple syntax, Python is ideal for developing web applications, data analysis, machine learning, and artificial intelligence. With an extensive ecosystem of libraries such as NumPy, Pandas, TensorFlow, and PyTorch, it provides powerful tools to solve diverse problems.

JavaScript remains an integral part of web development and continues to hold an important place in the programming world. Because of its versatility and widespread use in frontend and backend development, JavaScript is a significant component for creating interactive user interfaces and web applications. Frameworks and libraries such as React, Angular, and Vue.js make developing JavaScript web applications effortless.

Java is one of the most popular programming languages, especially in enterprise environments. Because of its reliability, portability, and extensive support from the developer community, Java is used to develop scalable applications, web services, and mobile applications on the Android platform. Java also offers a rich selection of frameworks, such as Spring, that simplify application development and management.

TypeScript, a programming language built on top of JavaScript, will continue to gain popularity in 2023. It adds static typing to JavaScript, which helps developers identify errors at compile time and create more robust code. TypeScript is widely used to develop large projects and applications. Its support in popular integrated development environments (IDEs) such as Visual Studio Code makes it an attractive choice for many developers.

Go (or Golang) is a relatively new programming language gaining popularity in 2023. Developed at Google, Go provides simplicity and efficiency, enabling the creation of high-performance applications and services. Because of its competitive performance and ability to scale quickly, Go is often used to create web servers, micro-services architecture, and big data processing.

Summary

These five programming languages are leading the development world this year. They provide developers with powerful tools for creating various applications and solutions, including web apps, mobile apps, and large-scale digital projects. The choice of programming language depends on the specific needs of the project and the developer's preferences. Still, these five leaders provide a solid foundation for success in today's technology environment.

The technological landscape is constantly changing, and programming languages are also evolving. New languages emerge, and existing ones are updated and adapted to changing needs. Therefore, developers need to remain flexible, adapt to the rapidly changing technological environment, keep abreast of the latest trends, and learn new technologies and programming languages to successfully implement projects of any complexity.

Automate Workflows with Advanced Charts & Dashboards | Darly Solutions

Automating Workflows with Advanced Charts and Dashboards

May 12, 2023

min read

In the world of business and analytics, data plays a crucial role in making important decisions. Visualization tools such as charts, graphs, and dashboards are used to understand data better and make informed decisions.

What types of dashboards and charts exist

Charts and dashboards are graphical representations of data that can be used to show trends, compare data, or show relative proportions. Some of the most common types of charts include:

Line charts - are used to show changes in the values of a variable over time. They are often used to show trends, such as changes in sales over time.

Bar charts - are used to compare the values of a variable between several categories. For example, you can use bar charts to compare sales of different products in your company.

Pie charts - used to show relative shares. For example, a pie chart might show what percentage of sales were made in a particular region.

Dashboards are sets of graphs, charts, and tables that show key performance indicators of a company. They allow you to visualize data and provide a broader view than individual charts. It can be used to monitor performance, track goals, and plan business strategies.

Many dashboards include financial, sales, marketing, operations, and others. Each type is designed to display a company's specific performance metrics.

For example, a financial dashboard might contain information about financial metrics such as profits, losses, budgets, and cash flows. A sales dashboard might show the number of sales, average checks, conversion rates, etc. A marketing dashboard can include information about traffic, conversions, cost of customer engagement, etc. An operational dashboard can display data on production capacity, resource efficiency, latency levels, etc.

Regardless of the type of chart or dashboard used, the key is to present the data intelligently. Data visualization should be clear and easy to interpret to facilitate decision-making. Therefore, when creating charts and dashboards, you need to consider the audience, purpose, and context in which these tools will be used.

The functions they perform

Chats and dashboards functions, Darly Solutions

On the technical side, charts and dashboards are tools for visualizing data and presenting information in a clear and user-friendly format.

Charts are usually created using specialized libraries and software tools that allow you to generate graphical elements such as charts, graphs, pie charts, etc. Chart data can come from various sources, including databases, Excel files, APIs, etc.

On the other hand, dashboards are usually created using specialized software tools that allow you to combine data from various sources and display it in a user-friendly format. Dashboards can include multiple widgets such as graphs, tables, text boxes, etc., which can be customized and linked to quickly display data.

Regarding function, charts and dashboards can perform different tasks depending on business needs. They can be used to monitor performance, track sales, manage resources, predict trends, etc. In addition, they can be configured to automatically alert users of potential problems and delays in processes, allowing you to react quickly and correct the situation.

What problems do charts and dashboards solve

Charts and dashboards are powerful tools that help businesses solve many problems. Here are some of them:

‍Resource Management: Dashboards and charts can help businesses manage their resources, such as money, time, people, etc. That allows a company to use its resources more efficiently and increase productivity.

Planning and Strategy: They can help businesses develop plans and strategies based on data analysis. Also, their use can help identify trends, predict future events, and make fact-based decisions.

Identifying potential problems: They can help businesses identify potential problems and risks. That allows the company to take steps to prevent them or reduce their possible impact.

Improve communication: Dashboards and charts can help improve communication within a business by allowing employees to share information quickly and efficiently. They can also help enterprises to understand customer needs and expectations better.

Workflow automation with advanced charts and dashboards

In today's dynamic business environment, workflow automation is becoming increasingly necessary for businesses of all sizes. By automating repetitive tasks and streamlining business processes, companies can save time, reduce costs and increase efficiency. It's also a convenient way to display and process collected data.

The first step in automating a workflow is identifying which one can be automated. The workflow should be well-defined, with clear inputs and outputs. Defining the metrics that need to be tracked is also important. Metrics such as time-to-completion, task completion rate, and error rate can help businesses measure the effectiveness of the workflow.

The next step is to choose the right tools for automating the workflow. There are several advanced charts and dashboard applications available in the market, each with its own features and capabilities. Businesses should choose a tool that meets their specific needs and is easy to use. Some popular advanced chart and dashboard applications include Tableau, Power BI, and Google Data Studio.

When it comes to developing custom charts for a finished product or business idea from scratch, it's important to understand what requirements they must meet. Selecting appropriate chart types and configuring data visualizations are important to ensure that the insights generated by the dashboards are easy to understand and act upon. For example:

Ease of use
Compatibility with existing systems
Cost
Customization options
Support and training
Which metrics are most important?
Which chart types will best represent the data?
What colors and visualizations will be used?
What level of detail is required?

The next step is to connect data sources to the advanced charts and dashboards. This stage can involve integrating existing systems or importing data from spreadsheets or databases. Once the data sources are connected, the application can start to generate real-time insights into the workflow. It is important to ensure that the data is accurate and up-to-date.

The dashboards should be monitored in real-time to ensure the workflow runs smoothly. The metrics generated by the dashboards can help businesses make informed decisions and take corrective action if necessary. Real-time monitoring can also help identify issues or bottlenecks in the workflow, allowing them to make changes quickly.

To ensure the success of workflow automation with advanced charts and dashboard applications, businesses should follow some best practices. These include regularly reviewing the workflow and its metrics to identify areas for improvement, ensuring that the dashboards are easy to understand and act upon, and involving stakeholders in the automation process.

Summary

Automating workflows with advanced charts and dashboard applications can help businesses save time, reduce costs, and improve efficiency. By following the steps outlined in this guide and adopting best practices, businesses can make the most of workflow automation and gain valuable insights into their data. By automating repetitive tasks and streamlining business processes, they can focus on critical tasks, improve productivity, and stay ahead of the competition.

Why Ukrainian Developers Are Key to Global Success | Darly Solutions

The Importance of Ukrainian Developers for Global Success

News

May 5, 2023

min read

In today's world of IT technologies, cooperation with Ukrainian developers is becoming more and more relevant and promising. Ukraine is ranked as one of the world's top IT service providers and continues to hold that position.

Ukrainian IT market overview

Ukrainian IT market, Darly Solutions, world

Today, the Ukrainian IT market has positive growth dynamics, as Ukraine is a more favorable center of cooperation than other countries. Why is this so? It is due to our specialists' high level of education, scientific potential, the country's proximity to the European market, and favorable tax conditions. The close geographical location to Europe also ensures faster and more efficient communication between clients and developers. All this makes it possible to double Ukraine's export revenues in the next 4 years.

Currently, more than 200,000 Ukrainian developers work in the international market. That demonstrates the high level of qualification and professionalism of IT specialists who successfully work on projects of any scale and complexity.

In 2021-2022, the IT industry grew by 36%, from $5 billion to $6.8 billion in exports. Over the past three years, these figures have almost doubled, and the growth trend is quite stable. Despite the war and issues many IT companies face nowadays, the IT sector is still a driving force in the Ukrainian economy and continues to develop.

The majority of IT companies today work remotely. But this does not prevent participants in the development process from creating digital products, being in touch with the client, and providing timely updates on the work done. During the full-scale invasion of the aggressor country, all Ukrainian companies have adapted to the new reality and are ready for force-majeure situations at any level.

Our company did not disrupt any project over the past year and delivered all developed products to each customer. Moreover, our practical work resulted in the support of foreign customers who want to cooperate only with Ukrainian companies on convenient terms.

Development tasks that Ukrainian developers solve

Complex technical projects, Mobile application development, E-commerce platform development, Software development, Integration and maintenance, Cybersecurity

Ukrainian developers today are among the most in-demand in the world. Through continuous development and training, top-notch IT specialists contribute to developing international products and participate in their launch and maintenance. They successfully solve many development tasks and problems, including:

Complex technical projects

‍Ukrainian developers have high technical expertise and can implement projects of any complexity. They use the most advanced technologies and programming languages, such as Java, Python, Ruby, JavaScript, etc.

Mobile application development

A significant amount of experience is available among Ukrainian developers in developing mobile applications for iOS and Android platforms using React Native, Ionic, and other technologies. They know how to create intuitive, user-friendly interfaces that satisfy users' needs. They also specialize in developing cross-platform applications that run on multiple operating systems, which can significantly speed up the development process and reduce project costs.

E-commerce platform development

Ukrainian developers also have considerable experience in developing online stores and e-commerce platforms. They are familiar with major CMS systems such as Magento, Shopify, and WooCommerce.

Software development

It is well known that Ukrainian developers create high-quality software. They know how to write code that will work quickly, efficiently, and reliably. They also have experience in various areas, such as web development, mobile development, artificial intelligence, and more. Ukrainian developers often use modern technologies and development methods such as Agile, Scrum, and DevOps to ensure high quality and fast development time.

Integration and maintenance

Besides developing new software, Ukrainian developers integrate it with existing systems and maintain them. They are ready to solve problems during the operation and ensure the smooth operation of the applications.

Cybersecurity

Ukrainian developers actively work in cybersecurity, providing reliable protection of information and data. They know how to protect applications from threats like hacker attacks, viruses, and other malware. And also use modern technologies and methods such as data protection, encryption, and authentication to keep software secure.

Advantages of cooperation with Ukrainian developers

Ukrainian developers, DarlySolutions, High work quality, Speed and efficiency, Price competitiveness, Flexible cooperation conditions

Cooperation with Ukrainian developers today is one of the most advantageous options for companies looking for reliable and experienced IT specialists. Ukraine is one of the world's leaders in the IT services market, thanks to its talented and highly qualified developers capable of fulfilling tasks of any complexity.

One of the main advantages of working with Ukrainian developers is the high quality of their work. Ukrainian developers have an extensive experience in various fields of IT. They follow the latest trends and use the most advanced technologies. Due to this, they can realize tasks of any complexity, including creating complex websites, mobile applications, software development, and much more.

In addition, Ukrainian developers are known for their speed and efficiency. They strive to complete their projects on time without compromising the quality of their work. Ukrainian IT companies are also ready to provide flexible working conditions, including working in different time zones, which makes cooperation with them even more convenient and effective.

One more advantage of cooperation with Ukrainian developers is their price competitiveness. Ukraine offers more favorable conditions for cooperation than other countries while maintaining a high quality of work and professionalism. That allows companies to save on costs without losing quality.

‍Flexible cooperation conditions are another advantage of Ukrainian developers. Many of them work remotely, which makes their services more flexible and accessible to clients from all over the world. That reduces the cost of organizing work with remote teams and the time required to find the right specialists. In addition, even remote communication with Ukrainian developers allows you to respond quickly to changes in the project and solve any problems that may arise. Also, communication with Ukrainian developers is in English, which facilitates interaction with customers from around the world.

Summary

Ukraine is one of Europe's largest exporters of IT services, with an excellent knowledge base, great motivation, and great opportunities. Despite the Russian invasion, Ukrainian IT companies continue to provide quality services, support the economy, and maintain a high rate of development and continuous growth.

Cooperation with the Ukrainian company is not only a guarantee of quality work but also support for Ukrainian businesses and Ukraine as a whole. Numerous IT companies survived difficult times and are gaining momentum in their activities due to the trust of international customers and the continuous work of the development team.

ChatGPT: New era for digital world | Darly Solutions

ChatGPT: New Era for Digital World

April 27, 2023

min read

Getting started with the ChatGPT

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Many of you have heard about Artificial Intelligence from OpenAI - ChatGPT. No wonder because all the social networks and the Internet, in general, are full of headlines about a newfangled tool that conquered the whole world with its capabilities. Before we give a more detailed description of this tool, let's go over the basics of this technological wonder.

To get started with the chat, you need to register in the system. The process is similar to registration in social networks and takes little time. And then, you just need to enter a request on the principle of communication with a live person. In fact, he can answer any of your questions, but keep in mind that the request must be accurate and precise. The robot will catch the context of the request and give you a text response.

The model uses a neural network architecture called a transformer, trained on a large corpus of text data. The transformer learns patterns and connections between words and phrases in the text data, which allows it to generate new connected and grammatically correct text.

ChatGPT is changing the world by making communication more accessible and efficient. Using natural language processing, it can understand language much higher than traditional methods. This means that ChatGPT-based chatbots can respond to users more naturally and human-likely.

ChatGPT areas of opportunity

Blogging, Content marketing, Chatbots, Trading, Code writing

OpenAi has transformed the digital world with ChatGPT. With it comes more and more opportunities for developers, marketers and designers, business owners, office workers, and others. The ability of AI chatbots to understand our language makes interacting with technology more accessible.

Let's look at ChatGPT areas where it can be most helpful:

Blogging

If you have a blog or plan to create one, this tool is handy. It helps you generate blog topics, rubrics, and texts for them. We recommend making additional edits to the generated texts to add individuality and better promotion in search engines.

Content marketing

Marketers can safely draw ideas and inspiration here with a well-formulated query to the system. This is not a panacea for all marketer's problems but a great helper for creating creative content or themes. It's essential to use GPT-generated content as a starting point and to carefully review and edit the text to ensure that it meets your standards and accurately represents your brand or message.

Chatbots

When a business needs to communicate with customers or effectively put the process of ordering goods or services - chatbots are the perfect solution to close this issue. Since chatbots and ChatGPT are identical, you'll have no problem incorporating them into your business. And the GPT tool will compose questions and answers for prospective conversations with your customer.

Trading

It can collect market data to identify patterns and predict future market trends, analyze social media and news articles to determine market sentiment and identify potential risks in the market, which can be used to make strategic decisions to minimize losses and maximize profits.

Code writing

In addition to plain text, this chatroom can even write code for a program. Users have already tested it to write code for Angular, Python, and other developing technologies. And HTML/CSS is a piece of cake.

Incredible things that you can do with the help of ChatGPT

Text Generation, Translation to other languages, Text Summarization, Ending a text, Answering questions

ChatGPT has revolutionized research and development with its idea generation, data analysis, and simulation creation capabilities. It can generate natural text that sounds like it is spoken by a human, providing personalized support in various sectors, from healthcare to customer service. In addition to these powerful features, ChatGPT offers excellent benefits for market research and automating tasks such as content creation or customer interaction on social media sites. Pretty impressive right?

The basic list of what you can create with it includes the following items:

Text Generation

ChatGPT can generate human-like text of any complexity. It can be used to create creative works, scripts, articles, stories, poems, and other forms of text content.

Translation to other languages

Just enter the desired text and specify a request for its translation with the specific parameters, if any, for translation.

Text Summarization

ChatGPT can summarize significant lengthy texts into shorter versions explaining the main points and thoughts.

Ending a text

If you have a beginning of a text or a code, you can complete it in your desired direction by specifying this in the chat request. Be as specific as possible in your request, so the answer matches the expected result.

Answering questions

ChatGPT can answer questions based on the context you set, which is helpful for customer service chatbots. Also, it provides information on a wide range of topics.

So what's the bottom line: replace or implement?

ChatGPT, Human resources replacement, Implementation

In recent months, discussions about ChatGPT taking over all spheres and professions, which are somehow related to the content, have been raging on the Web. Such drastic changes will certainly not happen soon, and here's why:

ChatGPT can be great for dealing with fundamental customer service issues and providing quick information, but more complex or sensitive issues require human involvement. Customers want a personalized experience, so real people answering their questions are still needed.

ChatGPT can't provide a different level of empathy, judgment, and problem-solving than a human customer service representative. In addition, its responses are limited to pre-programmed scripts that need to be more flexible for different customer needs rather than people who can offer more adaptive solutions.

ChatGPT can help improve customer service, but it will never replace the value of human interaction and expertise.

As AI continues to evolve, there will be an increasing need for individuals who can design, develop, and maintain these systems. AI also creates new job opportunities in data science, machine learning, and robotics. These jobs require specialized skills and knowledge that are in high demand. People may need to adapt to new roles that require more advanced skills, such as managing and maintaining AI systems.

That is why it makes sense to talk not about replacing the central employees with a chat room but introducing AI technology into the company. It should not be a substitute for specialists, but a technical addition, which will increase the work process's efficiency and help you find new ideas and rely on when making business decisions. Moreover, the chat cannot exist separately from the person because its system needs to be updated, cleaned, and worked with when necessary. There is a possibility of creating a collaboration of human and AI that significantly increases the productivity of any company.

Summary

ChatGPT is a powerful and unique tool that can be incredibly useful in many contexts. However, as with any technology, it is essential to use it responsibly and to be critical of its limitations and potential biases. It has already brought significant benefits, such as increased efficiency and productivity, improved decision-making, and quality of life.

In any case, we should not rely solely on the work of Artificial Intelligence. It is important to critically evaluate its results and format it to the necessary level. After all, no one has yet been able to recreate the human mind. So use this tool wisely, maximize work quality, and simplify your workflow. ChatGPT handles this perfectly.

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