Health Sync

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Overview

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What It Does

• Wearable integration — Connect Oura Ring, Apple Health, Eight Sleep, and Google Fit with one-tap authorization
• Automatic health data collection — Background sync of sleep stages, HRV, resting heart rate, readiness scores, activity levels, and recovery metrics
• Consumption-health correlation — Overlay cannabis usage timing and strain data with health metrics to identify patterns
• Sleep impact analysis — See how different strains, terpene profiles, and consumption times affect your REM, deep sleep, and total sleep quality
• HRV tracking — Monitor how cannabis consumption affects your heart rate variability, a key indicator of stress and recovery
• Next-day readiness — Track how different strains and dosages impact your next-morning readiness and energy levels
• Terpene-health insights — Discover which terpene profiles correlate with better sleep, lower stress, or improved recovery for your body specifically
• Personalized warnings — “Your sleep quality drops 23% when you consume limonene-dominant strains after 10pm”
• Trend dashboards — Weekly and monthly views showing how your cannabis-health relationship is evolving over time
• Predictive guidance — “Based on your patterns, a myrcene-dominant strain consumed before 8pm would optimize your sleep tonight”

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User Value

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How It Works

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Technical Approach

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Integration Architecture

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Data Pipeline

Wearable → Health Platform API → High IQ Background Sync
                                          ↓
                                  Convex Health Data Store
                                          ↓
Cannabis Session Data (Convex) → Correlation Engine → Insights

1. Collection layer — Background sync fetches new health data every 4-6 hours. Data is stored in Convex for real-time sync across devices.
2. Normalization layer — Different platforms report sleep stages, HRV, and activity differently. A normalization layer maps all sources to a common schema so correlations work across wearables.
3. Correlation engine — Time-series analysis comparing cannabis events (strain, terpene profile, dosage, timing, method) with health outcomes (sleep quality, HRV delta, next-day readiness). Uses rolling windows and statistical significance testing to avoid spurious correlations.
4. Insight generation — When a pattern reaches statistical significance (p < 0.05 with at least 7 data points), it is surfaced as an insight with a confidence indicator.

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Privacy Architecture

• On-device processing preferred — Apple HealthKit data is processed on-device where possible. Only aggregated metrics (not raw biometric data) are synced to the cloud.
• Encrypted storage — All health data is encrypted at rest in Convex with user-specific keys.
• No sharing, ever — Health data is never shared with third parties, never used for advertising, and never included in aggregate analytics.
• Granular permissions — Users choose exactly which data types to share (sleep only, HRV only, everything).
• Easy deletion — One-tap deletion of all health data with immediate effect.
• HIPAA-informed — While High IQ is not a medical device and does not require HIPAA compliance, our data handling practices are designed to meet HIPAA-level standards as a trust signal.

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Tier Impact

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Dependencies

• Apple HealthKit integration (iOS native module, requires development build)
• Oura Ring OAuth2 API integration and developer account
• Eight Sleep API partnership and integration
• Convex schema for health data storage
• Health data normalization layer across platforms
• Correlation engine (time-series analysis)
• Insight generation with statistical significance testing
• Privacy framework (encryption, granular permissions, deletion)
• Session journal — for precise consumption timing data (planned)
• Stash management with usage tracking — built and live
• Stats dashboard for displaying insights — built and live

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Open Questions

1. Which integration first? Oura Ring has the richest data (sleep stages, HRV, readiness, temperature) but a smaller user base. Apple Health has the largest reach but less granular data. Starting with Apple Health maximizes user coverage; starting with Oura maximizes insight depth.
2. Minimum data threshold — How many days of combined data are needed before showing correlations? Too few and insights are unreliable. Too many and users lose patience. Initial thinking: 14 days minimum, with a progress indicator showing “X more days until your first sleep insight.”
3. Causation disclaimers — Correlation is not causation. How prominently do we disclaim this? Every insight should include “Based on your data, X correlates with Y” rather than “X causes Y.” Legal review needed.
4. Background sync on iOS — Apple limits background execution. HealthKit provides a background delivery API, but Oura and Eight Sleep require periodic foreground fetches or push notifications. How do we keep data fresh without draining battery?
5. Session journal dependency — Health correlations are much more valuable when we know exactly when cannabis was consumed, not just what was purchased. Should Health Sync launch before or after Session Journal? Before means coarser data (purchase date only). After means richer data but later launch.

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Related Features

• Session Journal — Provides the precise consumption timing data that makes health correlations meaningful
• Smart Suggestions — Health data enriches the recommendation engine with objective outcome data
• Reports & Analytics — Health insights integrate into AI-generated research reports
• Stats Dashboard — Health correlation dashboards live within the existing stats interface