ML-Powered Reporting System and Mobile App For Medical Device Manufacturer

The client

OXITONE

Challenges

The client, a medical device manufacturer, needed a complete software ecosystem to support its physical product. The challenges were to create a system that could process data from the device to generate and deliver ML-powered reports, allow for automated updates to the machine learning models, and provide a user-friendly mobile app for patients to monitor their metrics in real-time

Solution

Superscript Systems designed and developed a comprehensive software solution. This included a backend system for the creation and delivery of reports generated by machine learning models, along with an administration panel for managing automated model updates. They also developed a cross-platform mobile application featuring Bluetooth connectivity for real-time fetus monitoring and metric display.

Results

A fully integrated, ML-powered reporting system and mobile application were successfully delivered. The software enhances the value of Oxitone's medical device by providing advanced analytics, automated reporting, and a seamless user experience for patients. The engagement includes ongoing support.

Technology Stack

.NET Core

Azure

React.js

React Native

MATLAB

PostgreSQL