The industry of mHealth is up and running and there are over 44,000 healthcare apps in the App Store alone. There are numerous mobile apps for different purposes, including data analytics, appointment booking, telemedicine, and even meditation.  

With such diversity, you can use your device, not only for tracking the number of calories burned, but also to receive consultation from a medical specialist or predict various medical conditions. 

If you are looking for a healthcare app idea for further healthcare application development, you are in the right place. Below we list the most prominent healthcare apps for doctors and patients with examples and explain how to make the mHealth app compatible with essential regulations across the globe. 

But first, let's take a quick look at the mHealth mobile app market. 

mHealth market overview and trends

Healthcare mobile apps revolutionize the way patients receive medical treatment and monitor their medical conditions. 

  • Statistics show that there are currently over 325, 000 health-related mobile apps now presented on app marketplaces. 
  • Statista reports, in 2020, the healthcare mobile app market is expected to reach 60 billion U.S. dollars. 
  • 60% of mobile device users downloaded a mHealth app to their device. 
  • As for healthcare mobile app trends, mobile fitness apps are more popular among Android users (39% of download), while iOS users prefer using health-oriented mobile apps (62% of downloads). 
  • At the same time, mobile healthcare apps increased productivity among medical staff and clinicians, and are expected to save over $200 billion on remote patient monitoring. 

Now that you are aware of the main mHealth app market trends and stats, let's find out more about the healthcare app development process so you will know how to build an app for healthcare. 

Related reading: 

Calmerry case study 

What does project tech stack mean?

Steps of healthcare mobile app development services

Step 1. Choose your technological partner among healthcare software development companies

When choosing the best healthcare dev company, consider previous projects, client reviews, and the company’s tech expertise.  

Step 2. Ask developers for a quote to create a healthcare app

Fill in the contact form to schedule a meeting with a business development manager to clarify more details of your project. 

Step 3. Receive a rough estimate on medical app development

Based on the project's details, a business analyst, project manager, and solutions architect will create a rough estimation for your project and send it to you. 

Step 4. Launch the inception phase with a team of medical app developers

When you agree on the initial estimation, healthcare app developers will clarify more details on your project to create user stories, mockups, and wireframes.  

Step 5. Start the healthcare software development process

When you agree on all deliverables of the inception phase, the team will start building the app iteration by iteration. 

Types of mobile health apps

There are different types of apps for health aimed at various end-users, including medical professionals, labs, and patients, which impact their features, some integrations, and the degree of data security required. 

Professional healthcare app

Targeted at medical personnel, such apps include patient data, such as name, date of birth, insurance number, address, and so on. Thus, when launching a professional healthcare development process, you need to make a medical personal mobile app HIPAA compliant and pay extra attention to private data encryption to avoid data breaches. mHealth apps for medical specialists include the following types:  

Clinical communication apps

Such applications are developed to improve clinical decision-making and communication with clinical specialists in a particular hospital. They include messaging and voice chat, file sharing, and electronic health record systems. 

One example of such an app is Halo, a communication, and collaboration platform for clinical specialists, which includes the following features: 

  • Send physicians and nurses Lab and PACS results
  • Integrate with EHR (electronic health records) to edit patient records in real-time 
  • Store files on a cloud-based platform, Amazon Web Services

Patient communication apps

This type of app boosts customer satisfaction, loyalty, health outcomes, and provides more transparency between patients and doctors. 

That is how the EASE mobile app works, offering users the following features: 

  • Invite relatives to the network within the app to keep them informed about updates
  • Include HIPAA compliant texts, photos, and videos that will self-destruct after 60 seconds
  • Send premade bulk messages to patients and their families to keep them informed 
  • Prohibit saving files, texts, or other documents from the app to the device to ensure patient privacy and avoid data breaches  

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Medical record apps

Such apps simplify updating patient records, including blood pressure, medical visits, examinations, prescriptions, and other information to keep track of a patient's progress. 

Medical Record is an app that belongs to this mHealth app category. In addition to the features above, the app also includes: 

  • Prescription module allowing doctors to save medical info
  • Appointment feature to schedule an appointment with patients
  • Recording videos or procedures instead of text messages 
  • Searching patients by I.D.

Risk assessment apps

Such apps are integrated with Electronic Health Records (EHR) and wearable devices, which allows monitoring patients' health conditions in real-time, tracking heart rate, and identifying patients at risk. To build a risk assessment mobile app, developers often use machine learning for pattern recognition, as we did for our recent project, a skin cancer detection neural network.  

An example of such an app is FHR 5-Tier(Forecast Health Risk and Predication), aimed at obstetricians, midwives, and nurses who use electronic fetal monitoring (EFM) for patients in labor. Let's look at its features: 

  • The app allows interpreting fetal heart rate (FHR) tracings to decide about further patient treatment in real-time
  • The five-color (green, blue, yellow, orange, and red) system is used in the app to allow medical specialists to standardize the management of different fetal heart rate tracings. 
  • When the app finds a risk to a patient's health, it uses colors Yellow, Orange, or Red to notify the doctor about the patient's state of urgency and provide a list with recommended actions. 

Barcode Scanning apps 

Barcode scanning mobile apps in healthcare allow scanning a patient's electronic health records and medication barcodes using a built-in camera in their mobile devices, avoiding expensive barcode scanning devices. 

Epic Rover is one healthcare app that belongs to this category, empowered by Scandid Barcode scanner SDK. Apart from scanning a patient's medications barcodes, develop a healthcare mobile app with the following features: 

  • Integration with Epic electronic health records for better admission of medicines and treatment
  • Visualization of patient-related info and progress in the form of charts 
  • Build-in messenger to communicate with patients and other medical personnel

And other functions to make the doctors' work even more efficient.  

Medication dosage apps 

Such applications are used by physicians to calculate individualized doses of medicine based on the patient's age, weight, and other personal info, avoiding laborious manual calculations, spreadsheets, and sophisticated tools. 

One example is the DoseMeRx app for medical professionals. Let's find out more about its features:

  • Integration with EHR, where the doctor can leave notes on the patient's state, medications, and dosage assigned
  • Set up reminders so that patients can track their medication intake
  • Build-in feature to predict treatment outcomes
  • Integrated dose optimization feature that leverages Bayesian dosing methods to guide dose optimization, based on clinically validated pharmacokinetic drug models, patient characteristics, drug concentrations, and genotype 


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