e72602d784
- Initialize Normogen health tracking platform - Add comprehensive project documentation - Add zero-knowledge encryption implementation guide - Set up .gitignore for Rust/Node.js/mobile development - Create README with project overview and roadmap Project is currently in planning phase with no implementation code yet.
60 lines
2 KiB
Markdown
60 lines
2 KiB
Markdown
# Research Plan: Health Data from Phone Frameworks
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## Objective
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Research what health data can be accessed from mobile health frameworks with proper permissions:
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- **Apple HealthKit** (iOS)
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- **Google Health Connect** (Android)
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- **Samsung Health SDK** (optional - additional coverage)
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## Research Areas
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### 1. Apple HealthKit (iOS)
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Research questions:
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- What health data types are available?
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- What permissions are required for each data type?
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- What are the user privacy requirements?
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- How to read historical vs real-time data?
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- What metadata is available (timestamps, device info, units)?
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- Any special requirements for medical data vs fitness data?
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### 2. Google Health Connect (Android)
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Research questions:
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- What health data types are supported?
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- What permissions model does Health Connect use?
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- How does it differ from the old Google Fit API?
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- What are the integration requirements?
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- Can it read data from third-party apps (Fitbit, Strava, etc.)?
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- What metadata is available?
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### 3. Data Type Comparison
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Compare both frameworks:
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- Which data types are available on both platforms?
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- Which are platform-specific?
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- Unit differences and conversions needed
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- Timestamp precision differences
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- Data granularity differences
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### 4. Technical Implementation Requirements
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Research:
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- SDK/library requirements for both platforms
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- Background data sync capabilities
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- Battery usage considerations
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- Data storage strategies (local cache vs direct sync)
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- Error handling for missing permissions
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## Expected Deliverables
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1. Complete list of available health data types for each platform
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2. Permission requirements mapping
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3. Comparison matrix (iOS vs Android)
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4. Recommended data model additions for MVP
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5. Integration complexity assessment
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6. Privacy and security considerations
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## Search Strategy
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Will research:
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- Official Apple HealthKit documentation
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- Official Google Health Connect documentation
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- Developer guides and best practices
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- Data type reference documentation
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- Permission and privacy requirements
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- Code examples and integration patterns
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