[WIP] Feature Ideas
Overview
This document captures feature ideas for AarogyaDost based on research insights. Features are organized by category and priority.
Core Features (MVP)
1. Health Document Upload & OCR
Upload lab reports, prescriptions, discharge summaries (PDF, images)
OCR extraction of biomarkers and health data
Multi-language support (Hindi, Tamil, Telugu, etc.)
Manual edit/correction of OCR results
Document organization by type and date
Research: [[research/india-specific-research]] - Medical document formats
2. Health Data Timeline
Longitudinal view of all health metrics over time
Interactive charts showing trends (HbA1c, cholesterol, BP, BMI, etc.)
Year-over-year comparison
Anomaly detection (sudden spikes/drops)
Export health summary for doctor visits
Research: [[research/biological-age-calculation]] - Metrics prioritization
3. Biological Age Calculator
Calculate biological age using PhenoAge algorithm (9 biomarkers)
Show breakdown: biomarker age, pollution adjustment, lifestyle adjustment
Trend tracking: Is biological age improving or declining?
Actionable recommendations to reduce biological age
Comparison to chronological age
Research: [[research/biological-age-calculation]] - Full implementation guide
4. Local Data Encryption
End-to-end encryption for all health data
Local-first storage (desktop app)
Secure backup and recovery
Zero-knowledge architecture
Data export (portable)
Research: [[research/research-todo]] - Encryption & Security section
Longevity & Insights Features
5. Peer Comparison Insights (Garmin-Style)
"Your HbA1c is better than 65% of users in your age group"
Demographic segmentation: age, gender, city (pollution-adjusted)
Percentile rankings for key metrics
Privacy-preserving aggregation (differential privacy)
Motivation through social comparison
Research: [[research/peer-insights-garmin-style]] - Full strategy
Cold Start Solution: Use Indian population norms (ICMR, NFHS-5) initially
Phase 1 (0-1K users): Population norms
Phase 2 (1K-10K): Hybrid (user data + norms)
Phase 3 (10K+): Full peer insights
6. Insurance Risk Estimator
Estimate term life insurance premium based on health metrics
Show risk category (Standard, Rated +20%, etc.)
Breakdown by risk factor (diabetes +30%, obesity +10%)
Potential savings by improving health
Financial motivation: "Save ₹10,000/year by reducing HbA1c"
Research: [[research/insurance-actuarial-models]] - Actuarial models
Example Display:
7. Life Expectancy Calculator
Estimate life expectancy based on health metrics and lifestyle
Show "years of life lost" due to modifiable risk factors
Motivational framing: "Add X years by quitting smoking"
Comparison to optimal health profile
Based on actuarial mortality tables
Research: [[research/insurance-actuarial-models]] - Life expectancy methodology
Example Display:
Environmental & Demographic Features
8. AQI Dashboard & Pollution Insights
Real-time AQI for user's city (CPCB, IQAir API)
7-day AQI forecast
Historical AQI trends
Health impact: "Your daily pollution exposure = smoking 4 cigarettes"
Years of life lost due to pollution exposure
Protection tips: N95 masks, air purifiers, timing outdoor activities
Research: [[research/environmental-demographic-factors]] - AQI & pollution
Example Display:
9. Pollution-Adjusted Biological Age
Adjust biological age based on pollution exposure
Breakdown: Biomarker age + Pollution adjustment + Lifestyle adjustment
Show pollution impact separately to contextualize
Motivate mitigation strategies (air purifiers, relocation)
Research: [[research/environmental-demographic-factors]] - Pollution adjustment formulas
Example Display:
10. Pollution-Adjusted Peer Comparison
Compare user to peers in same pollution zone
Fair comparison: Delhi vs. Delhi (not Delhi vs. Goa)
Show "pollution-adjusted" rankings
Highlight if user is doing well despite high pollution
Research: [[research/environmental-demographic-factors]] - Peer segmentation
Example Display:
11. AQI Health Alerts
Push notifications when AQI crosses threshold (>150 "Very Poor")
Pollution peak alerts (winter mornings in Delhi)
Actionable recommendations (skip outdoor exercise, wear mask)
Forecast-based preemptive alerts
Research: [[research/environmental-demographic-factors]] - Alert strategies
12. Seasonal Health Tips
Monsoon: Dengue prevention, vitamin D supplementation
Winter: Flu vaccination, pollution protection
Summer: Hydration, heat stroke prevention
Contextualized to user's location and season
Research: [[research/environmental-demographic-factors]] - Seasonal patterns
13. Demographic-Based Peer Groups
Segment peers by occupation (IT workers vs. IT workers)
Urban vs. rural comparison
State-specific health insights
Socioeconomic-adjusted comparisons (optional, privacy-protected)
Research: [[research/environmental-demographic-factors]] - Demographics
Advanced Features (Post-MVP)
14. Predictive Health Insights
ML models to predict future health trajectory
"Based on your HbA1c trend, you may reach pre-diabetic range in 6 months"
Early warning system for health deterioration
Intervention recommendations
Research: [[research/research-todo]] - ML models for health insights
15. Behavioral Recommendations
"Users who reduced HbA1c by 0.5% took these actions..."
Causal inference: What interventions work?
Personalized recommendations based on similar user outcomes
Evidence-based interventions with success rates
Research: [[research/peer-insights-garmin-style]] - Behavioral insights
16. Family Health Management
Add family members (parents, kids, spouse)
Shared health vault
Family health trends and comparison
Caregiver view (for elderly parents)
Research: [[memo]] mentions future extension to families
17. Doctor Integration
Share health summary with doctor (consent-based)
Pre-appointment health report generation
Doctor annotations and recommendations
Prescription tracking and medication adherence
18. Integration with Wearables
Import data from Apple Health, Google Fit, Garmin, Fitbit
Continuous health monitoring (heart rate, sleep, activity)
Combine wearable data with lab biomarkers
More frequent biological age updates
19. Genetic Testing Integration
Upload genetic test results (23andMe, AncestryDNA)
Polygenic risk scores for diseases
Personalized recommendations based on genetics
Epigenetic biological age (premium tier)
20. Health Challenges & Gamification
30-day challenges (reduce HbA1c, lose weight, improve sleep)
Badges and achievements
Leaderboards (opt-in, privacy-protected)
Streak tracking for healthy behaviors
Social features (challenge friends)
21. Insurance Partnership & Rewards
Partner with insurers (Discovery Vitality model)
Earn points for healthy behaviors
Lower insurance premiums for healthier users
Rewards (discounts, cashback, health products)
Research: [[research/insurance-actuarial-models]] - Discovery Vitality analysis
22. Telemedicine Integration
Book doctor consultations within app
Share health data with consulting doctor
Follow-up tracking
Prescription management
23. Medication & Supplement Tracking
Log medications and supplements
Adherence tracking and reminders
Drug interaction warnings
Impact analysis (did medication improve biomarkers?)
24. Nutrition & Diet Tracking
Food logging (manual or photo-based)
Nutrient intake analysis
Correlation with biomarkers (diet → HbA1c changes)
Personalized meal recommendations
25. Mental Health & Stress Tracking
Mood tracking
Stress level monitoring
Correlation with biomarkers (stress → cortisol → health impact)
Mindfulness and meditation recommendations
Premium Features (Monetization)
26. Advanced Biological Age Testing
Partner with epigenetic testing labs (TruDiagnostic, Elysium)
Offer DNA methylation tests (Horvath Clock, GrimAge)
Gold standard biological age (premium tier)
Annual epigenetic testing subscription
Research: [[research/biological-age-calculation]] - Epigenetic clocks
27. Personalized Health Coaching
1-on-1 health coach (nutritionist, fitness trainer)
Customized health plans
Weekly check-ins and accountability
Premium subscription tier
28. Comprehensive Health Reports
Detailed PDF reports for insurance applications
Executive health summaries
Pre-employment health reports
Visa/immigration health documentation
29. API Access for Developers
Allow third-party apps to integrate with AarogyaDost
Health data API (consent-based)
Webhook notifications for health events
B2B2C opportunities
30. Corporate Wellness Dashboard
Employer-sponsored health tracking
Anonymized aggregate insights for HR
Team health challenges
ROI tracking for wellness programs
Research: [[research/research-todo]] - B2B2C models, Corporate wellness pricing
Feature Prioritization Framework
Priority 1 (MVP - Months 1-3)
Health Document Upload & OCR
Health Data Timeline
Biological Age Calculator
Local Data Encryption
Basic peer comparison (using population norms)
Priority 2 (V1.0 - Months 4-6)
Peer Comparison Insights (hybrid with user data)
Insurance Risk Estimator
Life Expectancy Calculator
AQI Dashboard & Pollution Insights
Pollution-Adjusted Biological Age
Priority 3 (V1.5 - Months 7-9)
Pollution-Adjusted Peer Comparison
AQI Health Alerts
Seasonal Health Tips
Demographic-Based Peer Groups
Predictive Health Insights
Priority 4 (V2.0 - Months 10-12)
Behavioral Recommendations
Family Health Management
Doctor Integration
Wearables Integration
Basic Gamification
Priority 5 (Year 2+)
Genetic Testing Integration
Insurance Partnership & Rewards
Telemedicine Integration
Medication & Supplement Tracking
Advanced Premium Features
Success Metrics by Feature
Health Document Upload
Engagement: # documents uploaded per user
Quality: OCR accuracy rate
Retention: % users who upload >5 documents
Biological Age
Engagement: % users who view biological age within 1 week
Satisfaction: NPS for biological age feature
Trust: User survey on calculation trust
Peer Comparison
Engagement: % users who view peer insights weekly
Behavior Change: Do users improve metrics after seeing peer rank?
Social: % users who share peer achievements
Insurance Risk Estimator
Engagement: % users who view insurance estimator
Monetization: Conversion to insurance referrals (if partnership exists)
Motivation: Do users improve health after seeing savings potential?
AQI Features
Engagement: % users who view AQI dashboard
Action: % users who take action (air purifier purchase, mask usage)
Satisfaction: User survey on environmental insights value
Design Principles
Privacy First: All health data encrypted, local-first, user-controlled
Transparency: Show how calculations work, data sources, confidence levels
Actionable: Never show insight without recommendation
Positive Framing: Motivate improvement, don't shame
Context-Aware: Adjust for pollution, demographics, season
Fair Comparison: Segment peers appropriately (apples-to-apples)
Trust: Use validated models (actuarial science, published research)
Accessibility: Support regional languages, low-literacy users
Simplicity: Complex calculations, simple UI
Related Documents
Vision & Strategy:
[[memo]] - AarogyaDost product vision
Research:
[[research/research-summary]] - Research overview
[[research/biological-age-calculation]] - Biological age implementation
[[research/peer-insights-garmin-style]] - Peer comparison strategy
[[research/insurance-actuarial-models]] - Insurance features
[[research/environmental-demographic-factors]] - AQI and demographics
[[research/india-specific-research]] - India-specific considerations
Competitors:
[[competitors/README]] - Competitor landscape and gaps
Business:
[[business/README]] - Business model and monetization
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