1. Digital Twin for Health™ (DT4H™)
DT4H™ is the continuously updated model of an individual member. It organizes that member’s history, current condition, behavior patterns, adherence, risks, and support context into a usable operational state.
- Tracks multi-year semantic history
- Detects slow drifts and creeping instability
- Interprets new signals in context
- Generates next-best actions, education, alerts, and recovery workflows
This is how the system distinguishes temporary noise from meaningful decline and acts early.