Health Data Integration (Samsung / Google Health)
Integrating Samsung Health and Google Fit into a mobile app to unlock richer wellness insights and user engagement.
Problem
The product team wanted to unlock more value for users by combining self-reported data with sensor data from phones and wearables. They needed reliable integrations that respected platform policies and user privacy, without degrading app performance.
Solution
We implemented health data connectors that guide users through consent flows, synchronize relevant metrics, and surface insights in the app. We also designed data models and retention policies that balanced personalization with regulatory expectations.
Architecture / Technologies
The mobile app integrates with Samsung Health and Google Fit APIs using platform SDKs and background sync. A backend service aggregates metrics, computes trends, and exposes a simplified API to the app. Careful batching and caching reduce battery impact and API usage.
Highlights
- Samsung Health and Google Fit SDK integrations
- Granular permissions and user-facing explanations
- Background synchronization with rate limiting
- Server-side aggregation and trend computation
- Privacy-conscious data modeling and retention
Outcome
The integration increased user engagement and session frequency, and opened up new partnership opportunities for the client with health and insurance partners.
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