Predicting Mental Illness Risk via Social Footprints
LDiHK is a pioneering InsurTech platform that bridges the gap between daily digital habits and mental wellness. By analyzing voluntary social media exports (YouTube, Instagram, TikTok, Spotify), we empower insurance providers to predict clinical risks, reward healthier habits, and deliver early preventative interventions.
Strategic Fit: Hong Kong & Global Expansion
Mental health is a critical concern in high-density markets like Hong Kong. According to Gemini data and the Legislative Council Research Office, 13% of working adults, 24% of youth, and 12.5% of the elderly are diagnosed with mental disorders, with depression, bipolar disorder, and anxiety being the most prevalent.
Hong Kong is the ideal launchpad due to two unique advantages:
- ✓ Hybrid Insurance System: The split between private and government-funded care rewards insurers who manage chronic risks early.
- ✓ East-Meets-West Digital Intersection: Access to both Western (YouTube, Instagram, Spotify) and Eastern ecosystems enables training models for seamless future expansion into China.
The Ingestion Loop
GDPR Takeout Request
Users request their data packages directly from platforms under standard privacy regulations.
Ingest & Map Biomarkers
Our pipeline extracts usage hours, late-night circadian disruptions, and hourly fragmentation indices.
Risk Assessment & Rewards
Providers assess mental health wellness scores, providing premium offsets or early therapy recommendations.
The Stakeholder Ecosystem
Creating shared value for users, private insurers, healthcare experts, and society.
Insurance Providers
Gain competitive advantages in risk underwriting, lower long-term claims liabilities, and foster direct customer engagement through wellness incentive loops.
Policyholders / Users
Unlock premium offsets or voucher rewards by sharing GDPR data, access early clinical warnings, and receive personalized lifestyle recommendations.
Healthcare Experts
Receive high-fidelity clinical risk signals and historical user profiles to conduct optimized, preventative psychological interventions.
The Public & Society
Alleviates systemic pressure on public mental health systems, leading to a healthier, happier, and more productive workforce.
Venture Deployment Roadmap
Our three-phased roadmap to bring preventative mental wellness underwriting to life.
Model Integration & Health Record Pairing
Insurance companies incentivize users to share their basic GDPR-compliant data takeouts. In combination with historical medical claims records, we train custom machine learning models to identify core digital behavior predictors of anxiety, depression, and stress.
Voucher Incentives & Early Treatments
Using the early-warning models, insurance providers identify high-risk usage patterns in real-time. Insurers offer tailored vouchers and preventative clinical treatments, resolving wellness issues before they become severe, significantly lowering treatment liabilities.
Dynamic Underwriting & Applicant Rewards
We transition to underwriting. New applicants who voluntarily verify their digital footprints receive custom insurance plans and discounts for displaying low-risk habits, creating a substantial competitive advantage for partner insurers.
Our Hackathon MVP Goal
Due to time constraints, this MVP is not a fully-trained clinical model. Instead, it is an interactive platform built to demonstrate the exact data aggregation workflow and business value.
By allowing judges and attendees to inspect their own social history (YouTube, Instagram, TikTok, and Spotify) against standard medical wellness benchmarks, we showcase the granularity of the dataset we intend to gather.
What we are analyzing:
- 1 Screen Volume Index: Aggregated active screen hours across platforms per day. High volumes represent a primary indicator of mental fatigue.
- 2 Circadian Disruption Index: Focuses on late-night activity bounds (23:00 to 5:00) that delay sleep cycles and correlate directly with anxiety risk.
- 3 Task Fragmentation Index: Evaluates how frequently the user checks platforms throughout the day, measuring attention division.
Review the Venture Deck
Download our pitchdeck to review the deployment roadmap, Netlify Astro static builds, AWS S3 infrastructure costing, and performance benchmarks.
Need Technical Support or Enterprise Licensing?
Our support agents and solutions architects are available 24/7. Connect directly via our secure production domain.