Development of a Connected Health Monitoring and AI-Driven Medical Advisory Mobile Application

Patients face difficulties in monitoring vital health parameters such as blood pressure, temperature, and heart rate using disconnected or non-integrated systems. Traditional manual monitoring methods lack real-time data logging, analysis, and personalized medical advice, leading to decreased engagement and suboptimal health management outcomes.

A healthcare technology company specializing in developing digital health solutions and wearable device integrations to enhance patient self-care and health management.

• Develop a mobile application compatible with both iOS and Android platforms to facilitate real-time health parameter logging via connected wearable devices.
• Enable integration with external wearable sensors to automatically log parameters such as blood pressure, body temperature, and heart rate.
• Incorporate data synchronization with cloud services to ensure secure storage and easy access to health logs.
• Implement AI-powered analysis that provides personalized health advice based on logged health data and medical history.
• Allow users to view historical health data to monitor trends and improve self-care engagement.

• Integration with wearable health devices via Bluetooth to log vital parameters automatically.
• Manual input of health metrics such as blood pressure and temperature when needed.
• Secure cloud synchronization for storing health logs and history.
• Visualization tools for reviewing past health data and trends.
• AI-based advisory engine that analyzes logged data in conjunction with medical history to deliver personalized health recommendations.

• Wearable health devices via Bluetooth protocols.
• Health data platforms (e.g., Apple HealthKit, Google Fit) for additional data sourcing.
• Backend AI and analytics services for personalized medical advice.
• Secure cloud storage solutions for data protection.

• System should support at least 100,000 concurrent users with scalable architecture.
• Data encryption both at rest and in transit to ensure compliance with health data regulations.
• App response times should be under 2 seconds for data retrieval and display.
• Availability of 99.9% uptime for continuous user access.

The implementation of this connected health monitoring and AI advisory platform aims to improve patient engagement in self-care, increase the frequency and accuracy of health monitoring, and deliver personalized medical advice, ultimately leading to better health outcomes, greater patient satisfaction, and potential reductions in healthcare costs.