← Library
01
Foundation
The Patient Graph
A continuously updated health record organized as a systems map — not by encounter or specialty. Graph database capturing symptoms, biomarkers, genetics, exposures, lifestyle, microbiome, hormones, and nervous system metrics with mapped relationships. Patient-owned. Decentralized.
Data Sovereignty
→ 02→ 05→ 07
02
Intelligence
AI-Assisted Systems Physician
Primary care inverted: a deeply trained generalist as synthesizer, not gatekeeper. AI augments across three functions — continuous pattern surveillance, differential diagnosis with devil's advocacy, treatment interaction mapping. AI handles computation. Human handles judgment, empathy, wisdom.
Pearl Health Infrastructure
← 01→ 03→ 04
Data Flows ↕ Intelligence
03
Prevention
Prevention as Default
Not a separate activity — the default operating mode. Health coaches, movement specialists, nutritional therapists, stress physiology practitioners as core care team. Continuous biomarker surveillance, lifestyle medicine as first-line intervention. Fully funded because the system makes prevention profitable.
70–80% of chronic disease is preventable
← 02→ 04→ 08
04
Therapeutics
Tiered Evidence Framework
Three tiers: strong clinical evidence → emerging with plausible mechanisms → traditional/experiential. Every Tier 2 and 3 encounter generates structured outcome data, turning the system into a continuous pragmatic trial. Interventions rise or fall based on observed outcomes, not on who can afford a clinical trial.
The System Becomes a Learning System
← 02← 05→ 06
Practice ↕ Verification
05
Community
Community Intelligence
Patient communities as load-bearing infrastructure — not a support group bolted on. Structured data from patient-reported outcomes, symptom triangulation, treatment responses, comorbidity mapping. A parallel pattern-recognition engine specializing in lived-experience data that clinical trials cannot capture at speed or scale.
Patient Graph meets Community Graph
← 01→ 04→ 06
06
Verification
On-Chain Standards Body
Independent, decentralized standards organization on blockchain. Supplement testing, device validation, practitioner credentialing, protocol development. All records immutable and transparent. Standards evolve on evidence, not politics or industry capture.
Garner Health Quality Intelligence
← 04← 05→ 07
Standards ↕ Incentives
07
Sovereignty
Blockchain Data Sovereignty
Self-sovereign health identity. Encrypted with granular, programmable, time-limited consent. When anonymized data contributes to research or AI training, the individual is directly compensated. No single institution controls the data layer.
Oscar Health Platform Infrastructure
← 01← 06→ 08
08
Incentives
Outcomes-Based Funding
Four funding layers: universal capitated base, expanded therapeutic access via health savings, data dividends for participation, outcome-linked pharmaceutical pricing. Complex patients carry higher capitation — making the hardest cases the most financially rewarding to serve well.
Pay for Health, Not Activity
← 03← 07↻ All

Bidirectional Data Flow

Knowledge flows up from practice into research, not just down from research into practice. The entire system is a continuous, massive, real-world pragmatic trial.

↑ Upward Flow · Practice → Research

Every encounter generates data

AI continuously analyzes for emerging patterns — unexpected efficacy signals, adverse combinations, population-specific responses. When patterns reach statistical significance, they are automatically flagged for formal investigation. Community intelligence feeds directly into this layer.

↓ Downward Flow · Research → Practice

Evidence tiers update in real-time

Interventions move between tiers based on observed outcomes. Protocol recommendations auto-adjust. The entire system generates hypotheses at speed and scale impossible in the current research architecture.