Experience a patient-centric approach to healthcare management with Remote Patient Monitoring App.

$50K raised investment
MVP was launched in 3 months

Partner's Profile

Background

The EU-based startup (protected by NDA) uses remote patient monitoring via mobile apps as a data-driven technology that allows for patient monitoring outside of conventional clinical settings, such as at home or in a remote area, which can expand access to healthcare and reduce the cost of providing it.

Objective

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.

Solution

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.

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.

User-friendly interface

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

mHealth-solution

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

Remote patient monitoring

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

Smart connectivity

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

Diagnostic procedures

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

Technologies

Web

Python, Django, Django Rest Framework, JS, JQuery, HTML5, PostgreSQL, Celery.

Mobile

Java, Anroid SDK, Firebase, SDK for medical bluetooth devices.

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