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Personalized Notifications and Reminders
To keep users engaged and consistent with their health routines, we integrated dynamic push notification triggers based on individual health goals, activity levels, and missed check-ins. These timely reminders enhance medication adherence, encourage daily tracking, and nudge users toward healthier behaviors without feeling intrusive.
Data Security and Compliance
Given the sensitive nature of health data, we implemented end-to-end encryption for both data in transit and at rest. The app complies with HIPAA-grade standards, including secure authentication layers and controlled access protocols. This ensures user trust and regulatory readiness across regions.
Scalable Backend Architecture
To support growing user demand and real-time health data processing, we designed a scalable microservices-based backend. Hosted on cloud infrastructure with load balancers, caching layers, and horizontal scaling capabilities, the architecture ensures low latency, high availability, and smooth performance—even during peak usage hours.
App development for iOS and Android
Our strategic consultants and development team built the innovation-led app using the cross-platform compatibility of React Native and Typescript. The developed app considers the health metrics, provides users with a comprehensive look into their vitals, offers actionable insights, and improves overall well-being. The “Self-care Pentagon” screen talks about five goals required to manage health revolving around sleep & relaxation, nutrition, self-awareness, medication adherence, and fitness.
Automation of manual processing
We enabled automation, starting from the onboarding process for sending data to the backend built on MangoDB and Java through API to provide actionable insights based on users’ health goals and current health vitals. By leveraging Axios for API integration, the goal is to streamline data collection, provide informative content, and deliver customized health plans to promote overall well-being.
Algorithms for auto-modifying the health plan
To enhance the app’s user-friendliness, our team used algorithms to suggest modifications based on similarities with other users who have similar health profiles, preferences, and goals. It analyzes patterns and recommends adjustments that have been successful for matching users. The user updates different health metrics in the app by the end of the day, and those metrics get updated in that specific LifePlan for the user.
