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Development of a Scalable, Non-Invasive Patient Monitoring System with Real-Time Alerting and Third-Party Integrations
  1. case
  2. Development of a Scalable, Non-Invasive Patient Monitoring System with Real-Time Alerting and Third-Party Integrations

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Development of a Scalable, Non-Invasive Patient Monitoring System with Real-Time Alerting and Third-Party Integrations

99x.io
Medical
Information technology
Health & Fitness

Challenges in Implementing Non-Invasive, Scalable Patient Monitoring

Healthcare providers require continuous, non-intrusive monitoring of patient vitals (sleep patterns, movement, heart rate, respiratory rate) with real-time alerts for deviations. Existing systems struggle with scalability, seamless integration with third-party platforms, and timely intervention coordination.

About the Client

A digital health company specializing in non-invasive patient monitoring solutions for public and private healthcare providers.

Objectives for Developing an Advanced Patient Monitoring Platform

  • Design a non-invasive system for 24/7 patient health monitoring
  • Ensure scalability to handle large volumes of real-time data
  • Enable seamless integration with third-party healthcare platforms
  • Develop a user-friendly mobile app for caregivers to access real-time and historical data

Core Functionalities for Real-Time Health Monitoring System

  • Sensor-based data collection for vital metrics
  • Automated alarm generation for health deviations
  • Integration with third-party platforms (e.g., Sensio, Hero)
  • Mobile application for caregiver access to real-time monitoring and historical data

Preferred Technologies for Scalable Health Monitoring

AWS Cloud
Event-driven architecture
Data processing pipelines
Mobile app development frameworks

Required Integrations with Healthcare Platforms

  • Sensio
  • Hero
  • Electronic Health Record (EHR) systems

Non-Functional Requirements for System Reliability

  • High scalability for real-time data processing
  • System reliability for 24/7 operations
  • Data security and compliance with healthcare regulations
  • Low-latency alerting mechanism

Expected Business and Healthcare Impact

Enables proactive patient care through early detection of health issues, reduces caregiver response times, minimizes oversight via unified data ecosystems, and supports expansion into diverse healthcare environments (nursing homes, homecare services).

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