PRISM Table of Contents
This document provides a comprehensive, hierarchical table of contents for all PRISM documentation with direct links to specific sections.
Navigation Hub
This page serves as the primary navigation hub for the PRISM documentation collection, providing direct links to all documents and their major sections.
Introduction & Overview
PRISM Initiative Contact & Resources
PRISM Initiative: Executive Summary
- The Problem
- The Solution
- Core Innovation
- Business Model Alignment
- Implementation Strategy
- Safeguards and Ethics
- Evidence Base
- Collaborative Framework
- Team and Organization
- Future Vision
- Investment Opportunity
PRISM Document Summaries
- How to Use This Guide
- Introduction & Overview
- Foundation & Data Architecture
- AI Architecture & Philosophy
- Examples & Demonstrations
- Implementation & Operations
- Infrastructure & Processing
- Collaboration & Growth
- Organization & Research
- Technical Deep Dives
- References & Resources
- Document Organization
Foundation & Data Architecture
PRISM Data Format
- Introduction to Structured Medical Narratives
- The Eight-Field Structure
- Temporal Progression and Age Changes
- Why Markdown Tables
- Relationship to Sequence Completion
- Data Volume Implications
Completely Anonymous Data Only
- Defining Complete Anonymity vs De-identification
- MD5 Hashing for Verification
- Why Anonymity Enables Pattern Recognition
- Computational Efficiency Benefits
- Privacy as Foundational Architecture
- Legal and Ethical Advantages
- What PRISM Never Knows
Insurance Company Unique Vantage Point
- Cross-Provider Visibility
- Longitudinal Patient Journeys
- Fragmentation in Healthcare Delivery
- What Individual Providers Cannot See
- Claims Data Completeness
- Why Not Hospitals or Health Systems
- Existing Infrastructure Advantages
Standardized and Finite Codesets
- Universal Medical Languages
- Finite and Documented Nature
- LLM Pre-training Advantages
- Code Evolution and Version Management
Three-Pattern Learning
- Defining GOOD Examples
- Defining BAD Examples
- Defining NOPE Examples
- Automated Pattern Extraction
- Primary Aldosteronism as Demonstration
- Generalizing to Other Conditions
- Training Data Balance
AI Architecture & Philosophy
Pure Sequence Completion Without Complexity
- Supervised Fine-Tuning as Continued Pre-Training
- Destroying General Capabilities Intentionally
- No Chat, No Reasoning, Just Continuation
- Training to Exhaustion on Medical Sequences
- Condition-Specific Nudges Through BCO
- Why Simplicity Works
- Avoiding Modern AI Complexity
Ensemble of 100 Specialized Models
- Data Segmentation Strategy
- Pool Assignment Methodology (Last Two Digits)
- Complete Independence Between Models
- Natural Cross-Validation
- Why Exactly 100
- Consensus as Evidence
- Model Diversity Benefits
Retrospective-Prospective Validation
- Truncation Methodology
- Historical Validation Process
- Empirical Performance Metrics
- Known Outcome Advantages
- Continuous Validation Approach
- Building Confidence Through History
"All Models are Wrong" Philosophy
- Embracing Useful Wrongness
- Medical Investigation Reality
- Value of Rare Catches
- Alignment with Clinical Practice
- Statistical Framework
Constructive-Only Architecture
- Architectural Prevention of Denial
- Counting Positive Suggestions Only
- Silence When No Consensus
- Structural Safeguards
- Ethical Implications
- Business Model Alignment
Examples & Demonstrations
PRISM: Synthetic Case Examples and Training Framework
- Understanding the Visual Framework
- The Training Framework
- Important Clarifications
- What You'll See in the Examples
PRISM GOOD Example: Early Detection of Primary Aldosteronism
PRISM BAD Example: Delayed Diagnosis of Primary Aldosteronism
PRISM NOPE Example: Sleep Apnea Presenting as Resistant Hypertension
Sequence Generation Demonstration
Audio & Video Resources
Implementation & Operations
Consensus Voting Mechanism
- Threshold Calibration Process
- Condition-Specific Requirements
- Medical Oversight Integration
- Balancing Sensitivity and Specificity
- Dynamic Adjustment Capability
Clinical Decision Support Positioning
- FDA Regulatory Framework
- Physician Autonomy Preservation
- Physician-Friendly Explanation Generation
- Human-in-the-Loop Requirements
- Communication to PCPs Only
- Liability Considerations
- Integration with Clinical Workflows
Self-Aligning Incentive Structure
- Results-Based Compensation Model
- Pre-Agreed Percentage of Savings
- PRISM-Specific ICD Tracking Codes
- Patient Cost Coverage Goals
- Why Not Fee-for-Service
- Long-term Sustainability
Platform Potential with Constraints
- Focus on Non-Invasive Tests
- Routine Visit Integration
- Condition Selection Criteria
- Rapid Expansion Capability
- What PRISM Won't Target
Healthcare Utilization Phenotype Recognition
- Defining Utilization Phenotypes
- How Conditions Express in Billing Data
- Temporal Evolution of Patterns
- Multi-Provider Manifestations
- Observable vs Clinical Phenotypes
- Research Implications
Zero Integration Burden
- Using Existing Data Flows
- No Workflow Changes Required
- Existing Communication Channels
- On-Premises Hardware Management
- Remote Administration Model
- True Background Operation
Infrastructure & Processing
Cluster Architecture Approach
- Server Rack Design
- Consumer GPU Strategy
- Modular Enclosures
- Network Isolation
- Graceful Degradation
- Linear Scaling Properties
Continuous Model Retraining
- One Model Per Day Target
- 100-Day Complete Cycle
- Data Freshness Strategy
- Model Replacement Process
- Feedback Incorporation
- Quality Assurance Testing
Continuous Batch Inference Process
- Background Processing Design
- Patient Prioritization Logic
- No Physician Initiation Required
- Computational Efficiency
Collaboration & Growth
Open Collaboration with Privacy Protection
- Model Sharing Without Data Sharing
- Collective Intelligence Benefits
- Model Merging Process
- Secure Contribution Framework
- Early Adopter Advantages
- Dual Contribution Model
- Code Transparency with Protected Models
- Exponential Early Adopter Benefits
- Implementation Agreement Framework
- Competitive Dynamics and Rational Collaboration
- Network Effects
Organization & Research
Large and Rich Dataset
- Token Scale Calculations
- Maximizing Temporal Context
- Rare Pattern Detection
- Gradual Progression Capture
- Statistical Power Benefits
- Data Density Around Medical Events
- Semantic Richness of Medical Codes
PBC Structure and Team
- Public Benefit Corporation Rationale
- Patient Outcome Priority
- Investment Framework Compatibility
- Founding Team Expertise
- Advisory Relationships
- Growth Strategy
Research and Publication
- Peer Review Commitment
- Pattern Discovery Potential
- Academic Credibility Building
- Open Research Philosophy
- Contribution to Medical Knowledge
- Collaborative Opportunities
Technical Deep Dives
Vector Representations & Mathematical Foundations
- Transforming Medical Sequences into Mathematical Space
- The Geometry of Medical Similarity
- Trajectory Analysis Through Time
- Mathematical Similarity for Patient Prioritization
- Embedding Space Properties
- Dimensionality and Information Density
- Practical Implications for Pattern Recognition
Technology Stack & Core Libraries
Processing Pipeline Specifications
- Stage 1: Patient Selection and Prioritization
- Stage 2: Parallel Model Inference
- Stage 3: Consensus Aggregation
- Stage 4: Explanation Generation
- Stage 5: Delivery to Insurance Company