Problem
- Difficulty in personalizing hypertension management for individual patients
- Lack of continuous monitoring and timely interventions
- Poor patient adherence to treatment plans
- Limited integration of various health data sources
Solution
- Developed an AI-powered mobile application
- Integrated multiple data sources (Google Fit, Headspace, HealthifyMe, Garmin devices, Omron BP monitors)
- Implemented AI-driven personalized recommendations
- Created a dynamic task management system and customized surveys
Outcome
- Enabled personalized, data-driven interventions for hypertension management
- Improved patient engagement and adherence to treatment plans
- Enhanced data collection for hypertension research
- Facilitated early detection of potential health issues
- Demonstrated the potential of AI in managing chronic conditions
