Executive Summary
InvisibleSignal Platform Overview — HHS TOPx Tech Sprint 2026
“Making invisible illnesses visible through AI-powered analytics and federal open data. InvisibleSignal transforms 13+ federal datasets into actionable intelligence for patients, providers, and policymakers.“
Phase 1 Winner — $1M Grand Prize Track
Key Findings
CDC surveillance captures only 10-15% of actual cases, suggesting 3-4M true infections
CDC NNDSSPatients with invisible illnesses see an average of 10+ providers before diagnosis
Adrion et al. 2015Including direct medical, lost productivity, and informal caregiving costs across all 6 tracked conditions
CMS MEPS, BLS, Brookings 2023Conservative estimate across Lyme, Long COVID, ME/CFS, Fibromyalgia, POTS, and Alpha-gal Syndrome
Census HPS, CDC, NIH RECOVERThree-quarters of cases never reach official surveillance systems due to testing limitations and underreporting
CDC EID, Hook et al. 2022Only ~300 ILADS-trained Lyme specialists serve over 1M symptomatic patients nationally
HRSA AHRF, ILADSPlatform Modules
- Interactive choropleth map with CDC 5-year surveillance data
- Transparent risk index with published weights and an out-of-sample geographic validation
- 28-symptom clinical screener with ML-powered risk assessment
- Claude-powered AI chatbot for health guidance
- 20-provider specialist directory with map/list toggle
- State-level detail pages with environmental factors
- Cross-condition prevalence demographics with Census HPS data
- 6x6 symptom overlap matrix revealing ME/CFS-Fibro-POTS triad
- Provider desert visualization by HPSA designation
- Side-by-side condition comparison with radar charts
- Diagnostic delay analysis across demographics
- Interactive per-patient cost calculator with regional adjustments
- Cumulative cost projections with medical inflation modeling
- National burden dashboard with 7-condition funding ratio analysis
- Policy intelligence with ICD-10 billing gap analysis
- Print-optimized policy briefs for legislative advocacy
Technical Architecture
30+
Pages & Routes
13
Federal Datasets
0.882
Geographic rank stability (ρ)
6
Conditions Tracked
Tech Stack
- Next.js 16 (App Router, React 19, TypeScript)
- Supabase (PostgreSQL, PostGIS, pgvector, Auth)
- Transparent weighted risk index, validated out-of-sample
- Anthropic Claude Sonnet (AI chatbot)
- deck.gl + GeoJSON choropleth mapping
- Recharts data visualization (15+ chart types)
- Vercel Edge deployment
Data Sources
- CDC NNDSS — National surveillance (2018-2022)
- Census HPS — Household Pulse Survey
- CMS MEPS — Medical expenditure data
- NOAA NCEI — Climate/weather factors
- USGS NLCD — Land cover (tick habitat)
- HRSA AHRF — Provider shortage areas
- NIH Reporter — Research funding analysis
Compliance & Quality
WCAG 2.1 AA
Full accessibility audit, skip navigation, ARIA labels, screen reader alternatives
Automated Testing
Vitest + React Testing Library, component rendering and integration tests
Row Level Security
Supabase RLS on user tables, cookie-based auth on sensitive APIs, account-scoped health data