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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.

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.

VC Digitalization Trends: Applications and Key Features | Darly Solutions

Digitalization Trends in Venture Capital

News

April 5, 2023

min read

Venture companies face a large volume of tasks and the need to make decisions quickly daily, which is due to the specifics of such companies. Some tasks require a quick response with only employees. For others, it is necessary to select a tool from the technology field that can significantly improve the company's efficiency and avoid possible risks. Conventionally, they can be divided into websites and mobile applications, which equally solve the tasks set by the company. There can be many such problems because there is the factor of unpredictability, which a company must take into account when organizing the workflow of the whole team.

As a technology service provider, we have experience working with venture capital companies and know their challenges. We have compiled a list of the main ones that can be solved with a mobile app:

Lack of information

Venture capital funds often need more information about potential projects, industries, and trends. Finding potential projects is a responsible task that takes a lot of time. And knowing industries and trends will help a company stay one step ahead of its competitors and run its business more efficiently. Therefore, developing a mobile application can help collect and process a large amount of data quickly and efficiently, allowing the fund to make informed investment decisions.

Slow decision-making process

The decision-making process in venture capital funds can be slow and time-consuming. That is due to the slow pace of information gathering, analysis, and drawing conclusions based on the data. Venture capital funds have a tremendous amount of internal information. Analyzing it manually requires a considerable amount of time and people, which slows down the overall pace of the company. In this case, developing a mobile application will help automate the process of collecting and processing information, speeding up the decision-making process and helping reduce the time and money spent on this work.

Ineffective portfolio management

Venture capital firms have a lot of investments, and managing a portfolio can be a daunting task. You need to consider the total number of projects, their dynamics, and all changes to react quickly if necessary. Automating these processes will make it easier for a company to manage its business and take on new projects. In this case, you need an application that will track and analyze the effectiveness of each project in the portfolio and track its dynamics to help the company manage it more efficiently.

Limited access to investors

Venture capital funds may need more access to potential investors and partners. Each new project requires significant investments. Therefore, venture capital funds must attract reliable funding sources. But this process also requires time and labor to analyze and select investors interested in a long-term cooperation. The app's development will help funds reach more potential investors, and partners will expand their circle of contacts.

The latest trends in mobile apps for investors and venture capitalists

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Ventures are directly related to investing in promising startups and, accordingly, in cutting-edge technology. To keep up with the times, tech-savvy investors are integrating mobile apps into the workflow of VCs.

Typically, these applications include functionality to manage and track portfolio financials, manage business contacts and communications, analyze data, and predict investment success. Moreover, they can provide access to experts and industry leaders for advice and mentorship, which can help accelerate the development of startups and increase their chances of future success.

Here are examples of mobile apps used by VCs mostly:

Mobile applications for productivity & collaboration

Business is only complete with communication with colleagues and partners. Many applications help to establish and maintain communication between all participants in business processes. They improve communication within the team, help receive timely information, and also help to strengthen business relationships with partners and clients. And that can increase efficiency and lead to new opportunities for venture-backed businesses. They can also help companies solve problems such as a lack of information about potential projects and investment news.

The main objectives of such applications are to simplify the workflow as much as possible, to significantly reduce the number of emails for more critical issues, to automate the processes of searching and analyzing potential startups, and to create an environment for interaction between investors and entrepreneurs.

Usually, such applications include essential functions such as messaging, video conferencing systems, and social networks for professional communication.

Networking mobile applications

These apps typically serve as a platform to connect entrepreneurs, investors, and other stakeholders in the startup ecosystem. The main problem they solve is expanding the circle of investors and partners for the long term.

The main tasks of such applications are to provide users with a platform to communicate with others involved in the investment process, facilitate funding opportunities, and support the growth of innovative companies.

Talking about the specific functionality of such applications, we can include the basic set, such as profile and networking creation, according to users' business needs, event management by investment interests, content sharing, tracking investment portfolio progress with analytics and metrics, and protecting confidential user information.

CRM & Automation mobile applications

This type of application is designed to optimize and automate sales, marketing, and customer service processes. They are of great help to companies when there is a problem with the automation of internal processes, such as investment portfolio management or information collection and processing.

The main tasks of such applications are to optimize and automate sales, marketing, and customer service processes, improve efficiency and productivity, and provide information for data-driven decision-making.

From the general functionality, we can highlight the following: the ability to manage leads and information about them, automation of such tasks as sending emails and scheduling meetings, automation of marketing tasks, automation of customer service tasks (case management, chatbot support), the ability to track sales performance, the ability to integrate with other tools and platforms that are used by venture capital companies.

Contacts Management mobile applications

These applications help users organize and manage their contacts, including customers, investors, partners, and other stakeholders. They will help companies that have certain problems with collecting and processing information about potential investors, as well as do not have an established automated process for working with partners.

The main tasks here are to help users organize and manage their contacts more effectively, improve communication and collaboration, and build stronger relationships with their network of stakeholders.

The functionality of such applications includes the ability to create and store contact information; segment their contacts based on various criteria; import and export contact lists from other tools and platforms; track communication with each contact, including emails, phone calls, and meetings; set reminders and receive notifications about follow-up tasks and collaborate with other team members in contact management.

Company Research mobile applications

Venture research applications are designed to help users research and analyze potential investment opportunities. In other words, to help find new investment sources and opportunities for promising projects. If a company needs to invest in current projects or has the plan to expand investment capital in the future, an app to find such potential opportunities will be an urgent need.

The main tasks are to help users make informed investment decisions by providing access to detailed information and insights into potential investment opportunities.

The functionality of such applications covers the following list: the ability to access a database of companies that meet their investment criteria; select companies by various measures, such as stage of funding, revenue, and market size; conduct market research on specific industries and trends to help inform their investment decisions; and analyze the competitive landscape for each company; manage their investment portfolio, including tracking performance, monitoring news and events, and analyzing trends; users also can collaborate with other team members when researching companies, such as sharing notes and opinions.

Summary

Each venture capital firm is unique and has different goals, so venture capital software reflects the additional functionality built into it from the beginning. The key takeaway is that mobile apps and their customized functionality help automate the collection of investment market information, attracting funding sources through new partners, creating financial reports, and displaying them conveniently for the company.

As the investing world becomes increasingly digital, apps can help venture capitalists do their day-to-day work optimally. There is also a high demand for mobile apps and other digital tools to minimize repetitive tasks, increase productivity and streamline the deal-making process.

All this is the basis for the company's effective functioning, and the data collected by the program is the basis for making investment decisions.

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Darly Solutions’ day!

February 23, 2022

min read

It was 4 years of exciting experience, teamwork, challenges, and constant development. We have achieved a lot, implemented many successful projects. And these are our common victories!

A little about the company’s results in numbers

30+ English-speaking professionals are serving our customers from all over the world;
40+ completed projects;
3 startups took from idea to life;
5 stars as an indicator of the quality of our service.

Ahead of our shared celebration, we interviewed the heart of the company — our CEO Daria Lalaiants, who kindly shared her thoughts and plans for the future.

Why did you choose this business direction?

I’m so excited about dynamic changes in this field. It’s going on all the time: every day, every hour, every minute. IT helps look into the future and keep up with the times. That is why I decided to work with the direction of IT.

How did you get the idea to start the company?

I’ve always dreamed of the perfect work environment, from my point of view, of course. So, I realized that I could create something like that.

What are the main competitive advantages of your business?

There are flexibility, a creative way of working and a working speed.

Does your company have international connections?

Sure, 90% of our customers are international companies from The USA, Germany, and Australia. That was our initial goal, to go international.

What is the secret of a successful leader?

I think it’s an optimistic attitude to work, persistence and hard work.

Do you have your own motto or mission statement?

I always say to my team that you can always do much better than you think you can. Our mission is to help other businesses to find the best solution for them. There’s a reason we’re called Darly Solutions.

What are your plans for the future?

All my plans are global. I want to find a balance between our processes and creative approaches. When one does not interfere with the other.

Additionally we would like to thank our team, for all the support that they gave, full devotion and dedication to the service. To have a team like that is worth a lot!

Also, we express our gratitude to our clients and partners for their trust, fruitful cooperation, experience and opportunity to grow together! We will do our best to let you achieve new successes in your business in cooperation with our Company.

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Summing Up the Year in Darly Solutions!

December 30, 2021

min read

Darly Solutions team wishes to all of our clients and business partners – professional growth, successful projects, peace and prosperity and many happy moments during next year! We would like to share everything that we have accomplished in 2021.

The end of the year it’s about summing up and making plans for the future. This tradition creates opportunities to estimate activities for the previous year and also make reference points for the future.

During 2021 our team continued fruitful cooperation with companies in different spheres, we set goals, achieved them and did sophisticated tasks.

Developers from our team felt free with new projects and successfully ended them, getting positive feedbacks from the clients. We make professional progress in wide scopes and give a field for developing to our staff. So, what it was the year for Darly Solution?

Our projects

We had a great success in a B2C marketplace product for the beauty and wellness industry, which match all requirements, technologies and design solutions from the customer. Users use this responsive website to book appointments in nearby venues, get consultations and pay for their hair and beauty cosmetic treatments. This website is included registration, login, payments, Google Maps, email/SMS, analytics etc. All your appointments are stored securely within the Glamezy App, accessible at your fingertips. They are easily trackable. You can also pay for your appointments through this app and just turn up at your favorite Salon.

Booking beauty appointment app, Darly Solutions

Also, we provided UI/UX design services for a food app. Our team did a preliminary needs assessment and completed the project over a series of milestones. We paid great attention to creating easy-to-use and fast experience which would run well on iPads as well. Our UI/UX designer and a team created eye-catching design with opportunities to choose ingredients with your own taste, from extensive menu options. Also, we used our experience for creating a search system where customers can find this food place. At each step of this project, we identified and solved all problems ASAP. As a result we have satisfied client, numerous app’s customers and another one successfully solved task.

Food delivery application, Darly Solutions

We collaborated with a software development company to create their advertising platform. The team used Ionic, React, Strapi, and Node.js for frontend and backend development. The software contains many useful options to create own advertisement with a set of different functions. This service gives you the opportunity to create unique advertising, based on age, interests, genres, and so on.

Digital marketing application, Darly Solutions

Personal achievements of our company and a team

The main achievement of our company – is our team of professionals, who are not afraid of complicated tasks and experiments. They are always ready for new trials with all their skills and experience. The policy of our organization provided the English lessons for all our staff as well with high-qualified tutors. We appreciate desire to learn and develop professional skills. High level experts held thematically tech-talks to discuss technical issues and novelties in IT-technologies. This practice helps to know something new, share own experience and promotes the principle of team-building.

Important events for our company

During this year, Darly Solutions had a series of internal changes, which generally brought a positive influence. We expanded our staff, provided team-buildings for our workers. A big decision was made: restructuring all departments and updating working processes. Along with this, we successfully expanded stack technologies and continued to develop our business lines.

Gained knowledge and useful skills

Additionally, we would like to celebrate our company’s progress in improving programming skills on different levels and directions, implementing creative solutions in multitask mode. Our managers improve their business negotiating skills all the time and also followed the principle of customer centricity, what matters for sure in cooperation with customers.

It was a year with a variety of events, achievements and victories. And for sure next year will be better! Happy holidays to all of you! Let’s make something great together!

With best wishes,

your Darly Solutions ✨

Benefits of Web Apps for Education Companies | Darly Solutions

Benefits of Web Apps for Education Companies

December 20, 2021

min read

Today, web applications are changing how we approach education, making learning more accessible and engaging for everyone. These digital tools are proving invaluable for educational organizations and learners alike, offering numerous benefits:

Customized Learning. Web apps adjust to each student’s learning speed and preferences, making lessons more engaging and successful.

24\7 Availability. Students can study whenever and wherever they like, overcoming obstacles like distance and scheduling conflicts.

Cost-Efficiency. By using less physical space and materials, web apps help schools save money, which could also lower costs for students.

Data-Driven Teaching. Teachers get detailed reports on how students are doing, helping them provide the right support and improve their teaching methods.

Interactive Collaboration. Web apps create a community where students and teachers can easily share ideas and help each other, making learning a shared effort.

Why trending websites and apps are popular with tens of thousands of companies nowadays? Including those that provide educational services in various sectors.

Today's advancements in computer technology are reshaping every aspect of our lives, including education. IT companies are constantly expanding their offerings, providing applications and websites that make learning more accessible than ever. With these tools, you can master foreign languages, dive into various programming languages, explore themed literature, or even learn to play the piano.

Types of Teaching Platforms

As education adapts to digitalization, our company keeps pace by providing web solutions for all kinds of educational needs. We create platforms for corporate training, online courses, and live webinar services, all designed to meet the unique needs of today's learners and educators:

Corporate Training. Designing platforms for the corporate sector, focusing on staff training with features for conducting webinars, such as iSpring Learn and Teachbase.

Distance Learning Course Creation. Developing sites for high-quality distance learning courses tailored for educational institutions, similar to Moodle and Google Classroom.

Webinars and Online Lessons. Creating platforms for hosting webinars, online lessons, and open seminars, with options for managing and checking homework, comparable to GetCourse.

Our Development Approach

We focus on really understanding what our customers need. We pick the best technologies for each project, making sure our solutions work well and aim for the highest success. We show our dedication to quality by:

Technology Selection. We carefully choose technologies that align with our client's specific needs, aiming for solutions that are both practical and effective.

UI/UX Design Excellence. Our projects stand out for their user-friendly and engaging interfaces, a testament to our commitment to superior UI/UX design.

Benchmarking Against the Best. We benchmark our work against industry standards, aspiring to match the design quality and functionality of leaders like ZeBrains and Wezom.

Creativity and Style. We infuse each platform with creative designs and stylish patterns, aiming to enhance user engagement and experience.

Examples

Explore how digital education is changing the way we learn with our selection of innovative platforms. These examples cover everything from general education and coding to language learning and creative arts, showing the impact of technology on making learning more accessible and engaging. See how education is evolving and how our experience can help you successfully launch your educational IT product.

Khan Academy

Khan Academy, based in Mountain View, USA, provides free, comprehensive educational resources online. Covering subjects from math to humanities, its interactive exercises and videos allow learners of all ages to study at their own pace. Khan Academy is dedicated to making education accessible to everyone, anywhere.

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Sputnik ATX

Sputnik ATX VC’s 13-week accelerator teaches startups how to sell and gain traction. They help founders reach their full potential by creating an ecosystem to attract hard-working nerds, connecting them with investors, and training them for success. Their program provides start-up training, mentoring, and support to successful applicants.

CodeCraft

CodeCraft Academy, based in San Francisco, excels in digital education with its coding and software development courses. Offering interactive challenges, hands-on projects, and mentorship from experts, it serves all levels of learners, from beginners to advanced. Its focus on web development and data science is complemented by a unique portfolio-building feature, enabling students to showcase their skills to potential employers.

DuoLingo

Duolingo, a renowned language learning app from Pittsburgh, USA, stands out for its engaging and scientifically-backed approach. It uses gamification, brief lessons, and instant feedback to make language learning enjoyable and effective. Offering courses in over 30 languages, including both popular and lesser-known ones, Duolingo serves millions of users globally, making it an essential resource for language learners and professionals.

MasterClass

MasterClass delivers unmatched online learning in arts, music, writing, cooking, and more, with courses led by famous experts and celebrities. Its piano lessons, for example, are taught by renowned musicians. High-quality videos, interactive tasks, and community engagement let learners progress at their own speed, connecting with others. MasterClass makes top-tier education accessible worldwide, offering inspiration and expertise directly to learners' homes.

To find out how you can successfully launch your educational IT product – just contact us. Our team has great experience in this area, and we are also time-efficient, result-oriented, budget-friendly, and our staff work at an expert level. Our motto is “Less hassle, more work”!

8 best practices for creating apps for booking | Darly Solutions

Development

8 Best Practices for Creating Apps for Booking

September 21, 2021

min read

If you have an efficient booking app, it brings your business to the 21st century. Nowadays, a website reservation system or a mobile booking app is a must-have for most industries.

Let’s look at the statistics

E-Travel industry grows by 7.5% every year. Accordingly to this fact, the researchers conclude that the market will reach $1.5B by 2023. In addition, the revenue share of sales channels of the global travel and tourism market will increase up to 72% by 2025. This includes only websites and applications for hotels and transportation. Other online scheduling software like appointment apps and scheduling websites are planned to see a similar boost.
More than 80% of bookings are made via mobile applications if are talking about travel booking. Because of that, mobile apps are the first choice for people to book tickets and organize the trip.
According to Statistic Brain Research Institute, every year people spend an average of $148 million on travel bookings online.

What is clear: this is a promising prospect for everyone that thinks about creation a booking website or app.

What are the benefits that can be delivered?

Gathering information on the clients – with the growing number of clients that like the idea of using online scheduling software, you have collecting data for personalization. It is a great opportunity to come up with special offers and increase sales.
Building the brand – booking is the first point of contact with your company and your chance to make a first good impression on the clients. If the service and online booking system are user-centricity and convenient in use, have high-quality standards and security, users will have positive feedbacks that increase the number of users and, consequently, promote your band.
Multiple revenue streams – with an online booking system, you can multiply profits via additional monetization models, such as income from fees, commissions, subscriptions, affiliate programs, ads, etc.

The article demonstrates a detailed guide on how to make a booking app that walks you through all of the essential points.

8 practices for your online booking system

Go through the following list of features to focus on some important aspects regarding how to make a booking website and app successfully. Choosing features that are essential not just for you but also for your customers is the next stage of the production cycle.

Convenient navigation, searching and reservation

User doesn’t like to waste time and wants to make a reservation, so your app should be as intelligible as possible. For better convenience, your app can also include a geolocation option, various spelling options and enable searches by different categories and filters. Good advice to eliminate zero search results by adding suggestions on locations, dates, services etc. – depends on your business.

User’s personal profile

Account page provides access to reservation history and enables custom settings, like currency, language, etc. Because of that, user page is a great place for marketing – it allows you to collect statistics, send newsletters about upcoming events or special offers and many others. However, the user registration process is a pitfall for many businesses. Here’s why: it gives the first impression and users decide if they will stay or drop the app. Make this process as easy as possible and require users to fill out only the key information. It is a great idea of authorization via social networks, for examples Facebook and Instagram, and allows a user to register with only one click.

Multi-language & global currency support

These days, online payment is a required functionality on the booking app. Before considering how to make a booking app, think over payment methods to include. It must be a safe and convenient way to book rooms, tickets, services, tours directly through an application or website. So, the process must be fast, flexible, and transparent, so be sure to include all possible payment methods, such as PayPal, credit card, cash, and design a user-friendly one-page checkout system. A reservation system that offers a secure payment portal will exactly improve your business performance. Also, auto-detected language can increase the user experience.

Data security

During the booking process, app collects a lot of sensitive information like personal information (email, phone), payment information, etc. This data can become a source of immense possibilities for hackers. One thing is clear: invest in security!

Auto-replies

Currently, automatic emails are seen as additional and mainly useful tool for business owners in various fields. Email reminders, feedback requests or tips are just a few examples of how companies improve communication with clients using modern technologies.

In-app messenger

In-app messenger is an excellent feature for any booking app, whether it is a travel booking website or appointment scheduler. For the best results, you need to have a support team shooting responses or a pre-programmed chatbot to cover customer questions. By utilizing AI and machine learning technologies, it is possible to provide instant and qualified feedback. However, note that this functionality may take a considerable amount of time and cost to implement.

Push notifications

A well-thought-out notification system makes life easier for users. Check-in and check-out alerts, friendly reminders, or recommendations can increase the level of customer satisfaction. As well, you may include weather notifications, price discounts, and other relevant notifications.

Create a booking website

For making your app perfect and increase prospects for success, the experienced business owner might want to also create a booking website. Usually, a properly built website extends the functionality and offers clients possibilities like access to information on success stories, high-resolution images, reviews, etc. When considering whether to create a booking website, think of the benefits you can get:

Presentation of the brand
SEO and digital marketing practices for promotional strategies
Insight information about user behavior and broad data collection for company strategies
Wider audience outreach that provides increasing sales because of cross- and up-selling.
Collect customer base via browser searches

So, the idea to create a booking website makes a lot of sense. It is possible to build a web platform in the first product version along with iOS and Android apps. Alternatively, you can plan to launch the booking website in a subsequent version.

Generally, any app functionality, simple or advanced, should be in line with customer expectations.

Talking a little bit about app development

It’s important to discuss and figure out what tech stack of your app, based on your requirements. Tech Stack is the group of technologies used to build mobile or web applications. It is a combination of programming languages, UX/UI design, development environment, framework, utilities, servers, tools, and services used by the development team.

Before designing an application, it is important to think about scope of your project, time to deliver the market, security perspective and scalability. Depending on these factors, you need to choose the technology solution that has the potential to solve these problems.

Important backend development

Building a stronger back-end helps to enhance your front-end as most of the tasks in the front-end are fully dependent on the back-end. Here are some important back end tasks:

API designing and documentation
API implementation
Building business logic
Database retrieval and storage
Defining permissions
Creating test script
Deployment

Keep your Front-end design simple and intuitive

Your front-end application must be clean and appealing. Here are some tips to build an amazing front-end application.

Use professional graphics designing tools
Keep the entire application design relevant and should match the concept.
Ensure there are no typography errors
Ensure relevant content should have the same design
Focus on quality rather than quantity
Try to match the original design and make the design pixel perfect
Create an app landing page showcasing the value of your application and encouraging people to download it.

That’s it

The development of a booking system is a complicated process that requires multiple details. Forward-thinking brands have applied these strategies to their campaigns to deliver the best user experiences while achieving high brand promotion. Drop us a line, and we’ll be glad to discuss your idea.

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How chatbots can improve the patients' experience | Darly Solutions

Development

How Chatbots Can Improve the Patients' Experience

April 30, 2021

min read

Nowadays, AI technology is significantly changing the different industries and the healthcare industry isn’t an exception. One of the additions – chatbots – has the potential to save time and money.

But should the healthcare industry use a bot service, it is a question many medical workers ask. However, we can define healthcare as a service that happens when patients visit the doctors, we will strictly limit our potential productivity gains. Chatbots can help healthcare providers with customer service and interact with healthcare consumers through text conversationally. So it is one of the most effective solutions to increase patient satisfaction.

According to surveys and researches published by IBM, up to 80% of routine questions could be answered by a chatbot. And it isn’t a surprise that the big part of these questions are asked by the patients and a simple chatbot can help with that.

For being in a win-win situation in healthcare, the providers should think about how to give patients, prospective patients, and other site visitors a way to answer questions, find the important information, and even book appointments as soon as possible without calling in. It’s easier and more convenient for people. It’s more efficient and successful for providers. And it can save a tremendous amount of money and time. That’s the dream, right? In the healthcare sector, the patient’s experience and satisfaction continue to be the top priority.

Chatbots in healthcare can offer the best health care service.

So the real question for clinics, hospitals and other private practices looking to improve the patient experience: Is it worth it?

Will chatbots really help and make a difference for your staff and patients?

At the end of the article you will find the answers to all your questions, so let’s have a look at how healthcare chatbots actually work, their benefits, and potential use cases.

We can divide chatbots into three categories:

Rules-based: Rule-based chatbots can also be named decision-tree bots. This type of chatbot uses a series of defined rules. These rules are the basis for the types of problems the chatbot is familiar with and can deliver solutions for. Usually, there are very simple or complicated rules. They can’t, however, answer any questions outside of the defined rules. These chatbots do not learn through interactions. They only perform and work with the scenarios you train them for. They follow pre-defined, if-this-then-that “playbooks” that automatically respond to a list of pre-populated queries and questions. These chatbots might answer common questions with simple and canned responses. They might also lead people to dead-ends like “I’m having trouble understanding” due to their limited technical capacity.

Adaptive: Using machine learning (ML), adaptive chatbots can learn patterns the more requests they receive.

AI-powered: An AI-powered chatbot is a smarter version that uses natural language processing (NLP) and ML to better understand the intent of the human and provide a more natural, near-human-level communication. An AI chatbot can quickly determine intent and context, move through more complex and nuanced conversations, and deliver the look and feel of chatting with an actual human being.

Chatbots are created to mimic human conversation. Using chatbots, patients can ask health-related questions, check on their appointments, or explore treatment options without calling in.

Why chatbots are perfectly suitable for healthcare

The chatbot is useful for any type of business. But for the healthcare field, they are especially valuable, because chatbots can provide the required information and actions to patients.

24/7 Service

Anytime chatbots can provide patients service and support. According to this, patients can get immediate engagement and answers.

Follow-up medical care

Quality and results are the most important goals for the patient experience. In many cases, it is difficult for doctors to provide quality care once a patient leaves the hospital. Chatbots could be a good solution for this challenge, and they can give follow-up care by prompting patients to record their symptoms or track their progress.

At-home care

Chatbots can be used anywhere, especially at home. The patient can use the range of actions that include not only looking up symptoms and scheduling appointments, it could also use chatbots for the patients after they are discharged from the hospital. The chatbot could help patients take their medications in time and connect with their doctors.

Keep patient update

This is a new way to address any patient. This will keep the patient and family to remain updated till the last moment. Do you need to go to the appointment? The chatbot will remind you via text message or email. Will the surgery for which you need to be prepared? A chatbot can help patients prepare for any size of surgery or operation beforehand.

Better Patient Experiences

In the end, chatbots no doubt can enhance patient satisfaction. They help improve patient satisfaction scores by providing the convenience of care and reducing wait time. The providers have the opportunity to offer services to the patients and make it convenient for patients to receive medical attention. Chatbots can also facilitate surveys and other patient feedback mechanisms to record and track sentiment.

Use cases in the healthcare industry

Let’s imagine the patient needs urgent help and information on what to do? The chatbot could quickly quiz users on the health problem they’re facing and recommend a sequence of actions until the ambulance arrives.

It can be used as a mass email by local or national health organizations. Nowadays, it is especially relevant to people to get to know important details about vaccinations or epidemics.

It can help patients track their moods or feelings that can be discussed with the psychiatrist or therapist at the next appointment. It could offer tips, notifications and advice between therapy sessions. Furthermore, it even can act more like a personal assistant. It can remind patients to take their medication, help them stay motivated to stick to their schedules and provide other relevant medical information.

The hospitals and clinics can use the chatbot to allow patients to learn more about their health by asking questions, check symptoms or conditions, and find relevant specialists if they need them.

The E-commerce industry that sells medical equipment or supplies could build a bot to recommend products to undecided customers. It is one of the ways to increase the visitors on the websites, directing the users to buy the products from it.

A doctor could set up a chatbot to let users schedule their next appointment easily.

The bot can be built to help users find in-network providers near them based on city or zip code.

A medical spa can increase lead generation and user satisfaction using the bot. It is a great idea to ask what users expressly request. Based on the feedback from the users, and add only those services and products which your users have expressly requested. Finally, it could help the best matches schedule a consultation.

Final Thoughts

The chatbots can significantly replace the great part of live chatting with medical personnel. The main advantage that chatbot can provide is improvement in the patient experience. These chatbots are created to be conversational, so they are more responsive and personal than search engines. Chatbots can pull more specific and relevant information for patients rather than search engines. But they can not completely replace a human medical professional’s expertise, but they can reduce the time and money and make it easier for hospital staff to perform their jobs.

How to Accelerate Product Development for Results | Darly Solutions

How Quickly to Get the Product Conducive to Results?

April 9, 2021

min read

Creating simple yet effective versions of new products, known as Minimal Viable Products (MVPs), is a crucial strategy for improving services and making the most of resources. This method focuses on testing products gradually and getting feedback from those who matter most. In this article, we'll look at what MVPs are and give examples of how they've been successfully used to develop better final products.

What is MVP and Why Create It?

An MVP, or Minimal Viable Product, is an important step in creating new products. It uses a straightforward method where a product is built with just enough features to be usable. This approach allows for regular feedback from users, making it easier to adjust and improve the product over time. Starting with the basics, it helps to quickly see if an idea is worth pursuing, saves time and money, and ensures that the final product meets the needs of its users more accurately before it's fully developed and released.

Benefits of MVP

An MVP offers a cost-effective means of gaining insight into a product's potential early on. It comprises essential features, allowing for validation and subsequent addition of functionalities in the final version. Typically, these features are outlined in the product roadmap. Now, let's explore the advantages of introducing an MVP to the market:

Time to Market. MVP enables a faster route to market, helping you stay ahead of competitors by launching quicker than with a fully developed product.
Cost Savings. By creating a basic functional version with innovative features, MVP saves money, which is especially beneficial for startups.
User Testing. MVP allows real user testing, providing valuable feedback to identify what works and what doesn't, enabling you to add only requested features and reduce market risks.
Flexibility. MVP offers flexibility in product development, allowing you to adapt based on user feedback and market responses, ensuring the product meets evolving needs.
Investor Appeal. Utilizing MVP demonstrates the product's real value to users, increasing the likelihood of securing funding from investors, even at the concept stage, before market entry.

MVP Development Team

Creating innovative solutions requires a talented team. This team, made up of different experts, works together to make sure the products they develop are both useful and easy to use. Let's take a closer look at the key roles:

Project Manager. Leads the team, providing guidance, motivation, and problem-solving support to keep the project on track. They also suggest ideas for making the product better and plan for its future.
Business Analyst. Focuses on understanding what users need and how they use the product. They use data to figure out how to improve the product and make suggestions for changes or new features.
UI/UX Designers. Create a user-friendly and attractive look for the product. They make sure it's easy to use and looks good, so people enjoy using it.
App Developers. Build the product based on the design. They write the code that makes everything work properly.
QA Engineers. Test the product to find any problems and make sure it works well. They help make sure the product is good quality and works as it should.

MVP Development Process

Crafting an MVP demands a carefully planned approach to ensure it meets the needs of users and aligns with market trends. Here's a detailed breakdown of the steps to help you navigate this process effectively:

Market Research. Conduct thorough research to understand the MVP's purpose, target audience, and competition. Define the ideal customer and assess competitors to find opportunities. Clarify what makes the MVP unique and better than existing options.
Define Product Value. Clearly explain the problem the MVP solves. Figure out why people would use it and make sure it meets their needs well. Make sure the business model, design, and services all add value for users.
Feature Prioritization. Decide which features are most important based on what users need and want. Customize features focusing on what's essential for the MVP's success.
Budgeting and Resourcing. Develop the MVP within a reasonable budget to save money. Decide whether to use your team or hire outside help. Consider hiring professional MVP developers for specific tasks.
Development and Iteration. Build a skilled team, using outside help for convenience. Focus on making the MVP user-friendly and useful. Keep improving based on user feedback to make it even better.

MVP examples

Even the biggest names in the business world started small: launching a basic version of their product, known as a Minimal Viable Product (MVP). These early versions were their first steps, proving there was a real demand for their vision. By smartly using MVPs to engage early users and gather crucial feedback, they laid the groundwork for what would become global success stories.

Dropbox - Cloud Storage

Dropbox is a classic example of an MVP that used a simple video demonstration to validate consumer interest and market demand for cloud storage solutions. Without initially developing the technology, Dropbox focused on showing potential users the ease and functionality of file syncing across multiple devices. This approach allowed them to gather significant interest and feedback, for refining their product and scaling their user base effectively.

Airbnb - Accommodation Sharing

Airbnb started with a basic website that offered short-term living quarters, breakfast, and a unique business networking opportunity for attendees of large conferences who had trouble finding accommodation. Using their apartment as the first listing, the founders were able to test the market's response to their concept. This MVP proved a demand for such a service, paving the way for the platform's evolution into a global peer-to-peer accommodation service.

Zappos - Online Shoe Retail

Zappos began as a simple website testing the online demand for shoes. The founder, Nick Swinmurn, started by posting photos of shoes from local stores without actually holding inventory. When a pair was ordered, he would purchase the shoes from the store and ship them to the customer. This MVP approach validated the concept that people were willing to buy shoes online, leading to the development of a billion-dollar e-commerce platform.

Uber - Ride Sharing

Uber's MVP started in San Francisco as a simple mobile app that connected users with luxury car services. The initial focus was to solve a specific problem—finding a reliable ride in the city. By limiting the initial service to a small market and focusing on a premium service, Uber was able to refine their model, understand user needs, and eventually expand to offer various transportation options globally.

Spotify - Music Streaming

Spotify's MVP tackled the issue of illegal music downloads by offering a legal streaming service with a vast library of songs. The initial product was a desktop application that provided free, ad-supported music streaming. By addressing copyright issues and focusing on user experience, Spotify was able to demonstrate the viability of streaming as a business model, leading to partnerships with major record labels and a rapidly growing user base.

Conclusion

Creating an MVP demands careful planning and execution. MVPs offer advantages such as quicker market entry, cost-effectiveness, and user-focused design. By adhering to the MVP development process, organizations can drive innovation and enhance customer service in the dynamic industry. Ready to develop your MVP? Contact us to start right now.

Scrum: Essential to Project Management Success | Darly Solutions

Why Scrum is Key to Success in Project Management

March 19, 2021

min read

Interesting fact: there are approximately 8,462 project management methodologies to choose from. Every project manager understands that selecting the right methodology is crucial to getting the job right.

So, how to understand which one is right for your project?

There are many various ways to deliver projects. Generally speaking, these ways are our project management models – applying different principles, themes, frameworks, processes and standards to help provide structure to the way we deliver projects.

Agile is one of the more recognizable project management methodologies. This methodology is best suited for projects that are iterative and incremental. It’s a type of process where demands and solutions evolve through the collaborative effort of self-organizing and cross-functional teams and their customers.

Agile is a methodology that has methodologies within itself, such as Scrum and Kanban. Scrum methodology is one of the most popular and simple frameworks to put the principles of Agile into practice.

Let’s talk about the Scrum and how it works

Scrum is a subset of Agile. It is a framework for agile development that helps teams work together with the customers. Much like a sports team training for the big game, Scrum encourages teams to learn through experiences, self-organize while working on a problem, and reflect on their wins and losses to continuously improve. Its goal is to develop, deliver, and sustain complex products through collaboration, accountability, and iterative progress. According to this, it is not surprising that Scrum is the most widely-used one among the teams.

Scrum team roles

Product owner: The product owner represents stakeholders, which are typically customers.
Development team: Group of professionals that consists of three to nine individuals who have the business, design, analytical and development skills to carry out the actual work, solve problems and produce deliverable products.
Project manager: Manager who ensures the understanding and execution of Scrum is followed. The manager’s responsibilities include coaching and motivating the team, removing impediments during the development, and ensuring that the team has the best possible conditions to meet its goals and produce deliverable products.

Phases of Scrum Model

Now, let’s take a look at the main steps of the development process that Scrum consists of.

Step 1. Product Backlog Creation

A product backlog is a list that contains features to be implemented during the development process. It’s ordered by priority and every item is called a User story. A user story is an informal, general explanation of a software feature written from the perspective of the end user or customer. It helps development teams capture simplified, high-level descriptions of a user’s requirements written from that end user’s perspective. The examples below show how these stories can look like:

As an internet banking customer, I want to see a rolling balance for my everyday accounts, so that I can keep track of my spending after each transaction is applied

As a manager, I want to be able to understand my colleagues’ progress, so I can better report our success and failures.
As a customer, I want to receive an SMS when the item arrives, so that I can go pick it up right away.
As Max, I want to organize my work, so I can feel more in control.

This structure is not required, but it is helpful for defining done.“Why can’t we just write features or tasks instead?”

Step 2. Sprint Planning and Sprint Backlog Creation

The sprint duration is very important so that the user stories are as small as possible. The typical average sprint duration lasts about 2 weeks. If the sprint duration is small, then the advantage is that more customer feedback can be received and most of the errors and bugs can be addressed earlier. If the sprint duration is long, then it allows the developer to work thoroughly.

The next stage is to do the sprint backlog creation. It consists of user stories that will be completed during the current sprint. The scrum team must select the important user stories and make them into smaller tasks. They need to plan on how to get the task completed. The Scrum team should be capable of finishing all these stories on time. Also, one important thing is to prioritize the necessary tasks.

For example, the goal for Sprint: “A website visitor can order a product”. We discuss with the team and product owner how to implement this. Roughly, customers have to go through three steps to order something: 1) select a product, 2) enter address and billing information, 3) perform the payment. We discover several exception paths. After the discussion about what technology we will use for this goal and how the team will implement this functionality, we start creating the Sprint Backlog.

Below are some of the items that can end up on the Sprint Backlog:

When an order is placed, send an email to the sales department;
Allow customers to pay for their order by credit card;
Encrypt user information in order (e.g. email, address);

Step 3: Working On Sprint and Scrum Meetings

The actual user stories are moved as small tasks in the sprint backlog, where the actual work starts. This is where the implementation of a software application, such as website development, begins.

To begin with, a task board is made with a lot of cards is used. The cards specify the details about the tasks such as assignee, work details, due date or the time duration, etc. The cards can be arranged according to their importance. When work on a task has been started, the corresponding sticker is moved from the “To do” field to the “In progress” one. When work is completed, the sticker can be moved to the “Testing” field, and after the task is successfully tested, the sticker goes to the “Done” field.

For this activity, we use specialized software JIRA and Trello for this task.

In this step the scrum meetings are important as it is done to track the progress status and who is doing what status. The burndown chart is the output of this meeting, as it provides the details about how many tasks are completed and if there are any issues or problems in completing the tasks in the “Work In Progress” columns.

It is also important to notice one more Scrum feature is Daily Scrum meetings. These meetings’ main purpose is to get full information about the current project status and make sure that all team members are on the same stage. During Scrum meetings, every single team member should tell what he has done for the day, which tasks will be the next, and what problems team members faced during the work.

Day by day Scrum meetings help increase the flexibility of the development process. They also allow understanding of what changes should be made.

Step 4. Testing, Product Increment and Sprint Review

The result of every sprint in Scrum is a potentially shippable product increment that can be presented to the customer. After each iteration, the development team creates a new version of a software product and adds new features with increased value. In the end part of every sprint, there is Sprint Review where the overall results can be demonstrated and analyzed. According to this info, the stakeholders can make a decision about further project changes and plan the next sprint.

Step 5. Retrospective and Next Sprint Planning

Retrospective’s main goal is to consider the results and the ways how to improve the development process on the next step. The team should talk about the lessons learned and the pitfalls that were during the development part. An important feature is to improve the work of the Scrum team as a whole. The team should conclude what went well during the working process and what can be done better during future iteration. When the ways of improvement are defined, the team can start and concentrate on the next sprint planning.

Project Closure

The project closure phase represents the final phase of the project management. Around this time, the final product is ready for delivery. Here, the main focus of the project manager and the team should be on product release and product delivery. In this stage, all the activities related to the project are wrapped up.

Once the product is handed to the customers, the documentation is finalized and the project is closed.

Conclusion

The main differential features of Scrum are flexibility and constant progress. It’s provided mostly by regular communication and close cooperation between the stakeholders at each step.

When the sprint is done, the customer can assess the working product functionality at the current iteration and make decisions about how the project should evolve during the next sprints.

Use Case: Web Development

Problem Statement: Important changes need to be implemented on an existing company website.

Scrum team roles:

Product Owner: Team Lead
Development Team: Developers
Scrum Master: Project Manager

Basic Flow of Events:

The website needs to be updated.

Using Scrum:

Product Owner creates a backlog, i.e. the prioritized changes to make.
The development team and the QA team is created.
Sprint of 7 days is decided.
Project manager is assigned to set up the meetings and help with issues.
Tasks are assigned to the team
A daily 15-minute Scrum is set up for holding team meetings
The website is updated each day with the work done
QA notifies issues on the same day
Each week, the Sprint Review meeting is held with the CEO for an update on progress

Scrum is best suited for projects that consist of teams of less than seven people who need a flexible approach to deliver a product or service.

Unique Approach to Telehealth Design

News

March 9, 2021

min read

Telehealth, simply put, is some type of delivery. It helps to provide health care services when patients and health professionals are separated by distance via remote technologies. Telehealth uses technologies for the exchange of information for the diagnosis and treatment of diseases and injuries for the patients. Live video conferencing, mobile health apps and remote patient monitoring (RPM) are examples of technologies used in telehealth.

It’s Healthtech time

Telehealth is improving the healthcare industry in many ways, the first of which is increasing its accessibility. Telehealth allows specialists to visit patients virtually from any place in the world by improving access as well as making a wider range of healthcare services available via telemedicine.

Today’s Telehealth environment consists of a global ecosystem of myriad digital solutions. There are two alarming end-users trends that you should pay attention to when considering Telehealth design and solutions.

What doctors struggle the most with
What people looking for when they choose the healthcare providers

Providing virtualized healthcare to any place in the world is one of the best-known applications of telehealth. But the medical industry is using it in several other ways, including:

Urgent help in distance. It can be a headache or sore throat. There are many medical complaints that aren’t life-threatening, but they need some professional attention. Virtual care services allow skilled health personnel to treat minor complaints, including providing appropriate prescriptions.
Stay in contact. Qualified medical personnel can use messages, phone and video calls to follow up the patients after they are discharged from the hospital. This way, improves worker productivity from not having to take time off and travel to appointments and ensures each patient understands the importance and carries out recovery and treatment plans. Also, telehealth platforms can automate much of the communication process, including sending reminders to the patients.
Updating online prescription. Telehealth provides the possibility to update online prescriptions even If you’ve been unable to get to your own doctor to refill a current prescription.
Monitoring of patients with chronic conditions. For these patients, it is one of the best benefits of telehealth. Virtual care helps those who have mobility issues, mental illness, and other conditions that may prevent them from going to in person medical appointments.
Facilitating care to rural areas. Telehealth is a great way to provide patients in places that are outside the current health delivery system with access to quality care. In the event of a medical emergency, telemedicine makes it possible to coordinate with specialists in other regions without wasting time to provide patients with effective treatment.
Increased patient satisfaction. In addition to referrals, many patients assess and choose healthcare providers through online reviews. As such, you must have positive reviews that will attract new patients. Telemedicine helps improve patient satisfaction scores by providing convenience of care and reducing wait time. The providers have the opportunity to offer remote services to the patients and make it convenient for them to receive medical attention. Also, this process reduces in-hospital visits.

All right, let’s move on to the design

Telehealth platforms require a unique approach to service design. As you can imagine, it isn’t the same way, say, for a food delivery service.

Telehealth is not about technology, it’s about people

That’s a good reminder that you need to create space for telehealth that provides human connections and assistance. The healthcare industry is unique and complex, and it can be challenging to set up. Establishing fundamental principles to guide telehealth design will help us keep sight of the user experience and user journey throughout different healthcare systems.

In this article, we’ll highlight the important and unique challenges in the design faced by digital health companies and startups.

Research. To begin, you need a shared understanding of how you usually provide face to face care. You will need a solid understanding of the patient’s journey through your service.
Construction. Based on our research findings, you need to discuss them with your client. There is the moment when you draft innovative solutions and delve into user journeys. We identify the most promising ideas based on jointly developed options. Service design can be quite abstract. The main idea is to find key service touchpoints.
Strategize and develop Next, it is necessary to work with your clients to co-create a product roadmap and business strategy. Together with medical professionals, you develop an extensive plan of the envisioned telehealth design, listing interactions between users, new processes, and workflows. Also, don’t forget to define the physical and digital things that will be used. By the end of this step, you’ve created visual content and material to start the development process.
Taking it live. From our experience, we recommend turning digital and physical artifacts into minimum viable products (MVP). MVP is essential to clinical trials. There is a product that has basic features and can be used to get feedback from the users.

After the main last modifications, it’s time for launch! At this stage, it’s important to provide testing to ensure that the envisioned workflow and interactions are happening as intended.

That’s it

To sum up, telemedicine is full of benefits for patients and healthcare providers. When people have had a taste of telehealth, they’re willing to continue using this convenient care option.

Telehealth’s future looks very bright, doesn’t it?

Also, it’s obvious to see continued strong growth and upgrade around devices, communication channels, telemedicine services, and telehealth platforms. Look for them to become increasingly user-friendly and convenient. As this happens, we can expect to see a resulting increase in users. After all, good design is the right way to improve engagement.

Designers will need to imagine themselves in both the patients’ and providers’ roles during the preparation for the start to create the design for telehealth. Every detail of a visit, from the method of scheduling appointments to the distribution of follow-up procedures, should be carefully planned to ensure the best outcomes and clear understanding.

We can expect to see digital pharmacies, virtual appointments, online triage tools, and remote monitoring gain in popularity. It may well become the new normal in healthcare.

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Choosing the Right Billing Model for Your Project | Darly Solutions

What Billing Model is the Best Fit for Your Poject?

February 8, 2021

min read

The first question that you should ask yourself before contacting the IT outsourcing company is “what billing model is the best fit for my project?”. If you are confused about choosing an outsourcing model from the Dedicated team vs. Fixed price vs. Time and Materials for your business idea, then welcome aboard!

In this article, we will compare these business models for your project. Let’s analyze each in detail and describe the advantages and disadvantages of 3 main IT outsourcing models.

Fixed price

The fixed-price agreement is a single-sum contract where the software development team must deliver the project within a predefined sum which is agreed by both parties. A client should be able to share his clear vision of the product with developers to ensure appropriate final results. This model requires the client to provide a detailed list of requirements for the project and all required developer documentation.

Pros of fixed price model:

Clarity. Project requirements are agreed upon before signing the software development contract, as well as all the required developer documentation is specified beforehand.
Accuracy. The project scope and time frames are known and discussed in advance, so the team can set the deadlines, and it is convenient to monitor the project progress.
Autonomy. The development process is coordinated by a project manager, so the client’s participation isn’t necessary.

Cons of fixed price model:

Preparation. The period is needed as all requirements for implementation and deadlines must be documented.
Inflexibility. Any change in the scope of work would cause a change in the total cost of the project and this change would be compensated by the service provider’s end.
Risks. If you don’t provide your requirements correctly, then the delivered product won’t be the same as expected.

When is recommended to use a fixed price model:

Clear requirements and determined deadlines.
Limited or fixed budget.
MVP.
Small and medium projects with limited project scope of work.

Time and Materials

Time and materials contract is absolutely different. This model is great suited for long-term projects with changing requirements, where the final requirements are not known in advance and can be changed on the go. This is a flexible approach to IT outsourcing, as the customer pays in smaller chunks for work accomplished during the billable hours. To say more, this pay-as-you-go model allows you to pay only for the work actually done. For example, for features delivered, milestones, etc.

Pros of Time and Materials model:

A flexible approach. The customer can change the scope of work, requirements or add/drop features on the go to meet his business aims without thinking about the budget. This model perfectly combines with modern agile methodologies, for example with Scrum.
Transparency. This model allows the customer to control the cost and concentrate on important elements of the project. The client pays only for the results actually delivered.
Involvement. The client can monitor the process of the development of a certain work schedule in accordance with the expected results.

Cons of Time and Materials model:

Budget and time. It is not always possible to estimate the budget in advance. It’s hard to predict when the product will be delivered or how much it will cost. This depends on the accuracy of the specifications or its changes in the process of work;
Communications. To achieve a high-quality product, continuous communication with the team is necessary. It requires full-fledged involvement from your side, which includes spending much time in communication with the development team.

When is recommended to use Time and Materials model:

Long and middle term projects with dynamic requirements;
Project scope is not fully known;
The customer wants the flexibility to modify the project scope.

Dedicated team

The Dedicated Team model is used to compensate for the lack of in-house IT expertise on mid-to-long-term projects. The billing is based on hourly rates of the developers, and they become a part of a team that is only concerned with the project and not engaged in any other tasks. The developers report directly to the client. However, the client is responsible for team management and control.

As an example, let’s say the client wants to develop software that is not in his team’s expertise, he can hire a developer or team who can do this. In this case, the client can outsource to an experienced team that can help him fulfill his customer’s needs by creating rich quality projects. This will enable the client to maintain stability between your team and the dedicated team.

Pros of Dedicated Team model:

Control. The customer is provided full control and management of the team. Cooperation between the client and the team is very important because it allows for effective planning and evaluating the strengths and weaknesses of the work process.
Development. When a team is focused on one project, it ensures the best results. The team has a full understanding of all project features and is dedicated to running the project smoothly.
Progress. The ability to optimize the product is important for product growth. With the dedicated team, it is much easier.
Reduced costs. The remote team solves many problems with the recruitment and hiring of staff. Plus, you always know the next month’s payments and taxes.

Cons of Dedicated Team model:

Thoroughness. The client must consider process planning and task distribution for every member of the team.
Engagement. You might have to invest more time in communication, discussion and software development.
Graduality. Looking for the perfect candidate takes a lot of time and the client has to be involved in hiring team members.

When is recommended to use Dedicated Team model:

For long-term IT projects with rapidly changing scopes.
Adding more workforce to set up a strong development team.
When you want to access cross-border expertise and knowledge sharing.

Conclusion

To sum up, every project provides the best results when it is managed according to the most suitable IT outsourcing model. Each software product development pricing model has its pros and cons. Choosing the best possible approach fully depends on the specifics of your project and expected results.

According to this, the first step is understanding your business model’s requirements. After determining your project’s needs, you can select the right outsourcing model and start with it.

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Healthcare Landing Page That Sells | Darly Solutions