Remote Medical Diagnostic app

Remote Medical Diagnostic app

An application for remote medical diagnosis and health monitoring that allows you to transmit data about a patient’s vital signs using connected medical devices.

Core team: 1 UX/UI designer, 1 BA, 1 PM, 1 Python/Django developers, 1 Front-end developer, 1 Android developer, 1 QA engineer

Technologies: Python, Django, Django Rest Framework, JS, JQuery, HTML5, PostgreSQL, Celery. Java, Android SDK, Firebase, SDK for medical bluetooth devices.


Develop a mobile application for the remote medical diagnostics and monitoring system. With the app, the user transmits vital signs data from various medical devices, and receives diagnostic results. The app helps to diagnose and periodically monitor the patient during treatment or rehabilitation.


mHealth-solution during a pandemic

It’s a digital solution for remote monitoring of patients with COVID-19 symptoms at self-isolation and outpatient treatment.

User-friendly interface

The user-friendly intuitive interface to reach out to a wide audience.

Remote patient monitoring

Remote Patient Monitoring (RPM) technologies allow healthcare professionals to detect changes in a patient’s symptoms remotely and timely.

Comprehensive diagnostic procedures

You can collect data on body temperature, % SPO2, blood pressure, heart rate, heart rate, blood glucose, respiratory function, etc.

Smart connectivity

Open IoT-platform with a large number of connected portable medical devices: thermometer, glucometer, spirograph, 12-channel ECG, pulse oximeter, etc.

Diagnosis anywhere

The application and necessary devices help to perform high-quality remote examinations in any location of the patient: at home, in the rural areas, or in an outpatient clinic.

Delivered results

We have created a mobile application that connects with medical devices and allows patients to perform examinations remotely and transmit the received health data for further diagnosis. The system includes ‘store-&-forward’ technologies, EHR, and any MIS integrations. The patient can enter indicators manually or use registered devices with automatic download of data to the platform. Data is sent, stored, and processed in a secure cloud. Diagnostic results are available to physicians and professionals involved.