Case study
Amwell
American Well needed technical expertise for developing Patient Concierge Health Assistant and Mobile Applications. We shaped the required team extensions, developed end-to-end features, established advanced security to support new features, redesigned existing architecture, created a customer feedback processing module, and built a complete mobile customer application.
About the client
Amwell is a major telemedicine service provider that offers digital capabilities to payers, providers, and innovators, creating an ecosystem of virtual and automated services.
Background and problem
The client was interested in expanding their technical expertise for the development of the Patient Concierge Health Assistant and mobile applications. The Innova team was tasked with the following challenges:
— reworking the existing architecture
— supporting a desktop application based on WPF.
Solution
We built the product according to the client's requirements by forming the necessary engineering team. Innova's engineers developed new cross-functional capabilities, set up enhanced security to support new features, and reworked the existing architecture.
In a short period, our team achieved the following results:
- We created a full-fledged mobile application and developed a client feedback processing module;
- We developed a React frontend, as well as a WebRTC for the Concierge service and a .NET backend for EHR;
- We solved a complex task of providing high-quality video with multiple audio streams using React technology.
More cases
See all cases-
AI Platform for Anomaly Pre-Screening and Telemedicine Monitoring
Our cient is the World leader in FDA-cleared portable ultrasound for home use. We built an Azure cloud platform with AI-powered anomaly detection, real-time video guidance, and remote device control reducing in-clinic visits for pregnancy monitoring.
-
Automated Insurance Verification for a Stealth HealthTech Startup
HealthTech startup automating insurance verification for medical practices. Our AI platform runs 10,000+ benefit checks a month, cutting front-desk time from 8–11 hrs/week to 1–2. When a name is misspelled or a card expires, the system texts the patient for a photo of their insurance card, corrects the information, and re-runs the check. Staff step in only for cases the platform can't resolve on its own.
-
Health platform for IRIDIUM
US-based continuing medical education company. We built AI patient avatars simulating real doctor visits, with LLM-powered dialogue analysis integrated into LearnWorlds and FreeCME. When a doctor orders labs or uncovers a symptom, the avatar updates its own medical chart in real time. No manual input, no static scripts.
Let’s discuss your project
Book a free consultation with our healthcare AI team.