A Web App for Fall-detection and Health Monitoring of the Elderly

Executive Summary

The client is a healthcare service provider based in America, offering digitally enabled self-care for people who are aging or living with health challenges. They are working on developing solutions that cater to personal healthcare technology leveraging advanced sensors, artificial intelligence, combined with human touch serving elderly or people with certain health conditions.

The client wanted to develop a non-invasive, IoT-enabled health monitoring solution for elderly people to identify incidents such as falls and unusual postures, and track vital signs (heart rate, respiratory rate, body temperature). A critical aspect was providing real-time access via both the web and mobile platforms.

eInfochips developed a scalable, Cloud-native platform using GCP to modernize the client’s elderly health monitoring system. The solution enabled real-time alerts, seamless mobile/web access, and reduced reliance on third-party services. With improved accuracy, faster deployment, and lower operational costs, the client achieved greater scalability, reliability, and long-term business agility.

Download the full case study to learn how eInfochips helped a leading healthcare provider build a Cloud-native, IoT-enabled monitoring platform that’s transforming elderly care through real-time insights and digital innovation.

Key Highlights:

Medical Devices
  • IoT platform GCP Deployment
  • Web Application
  • Real-Time Data Ingestion and Alerting
  • Technology Stack
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