StateK sits between DT4H and SETPOINT. It converts calibrated Twin evidence into current state, confidence, trajectory, and transition readiness.
Individual model · confidence · trajectory memory
Current state · confidence · transition logic
Maintain · adapt · escalate · observe
Execution-ready state for protocols and practices
Summarizes where the individualized model currently sits.
Represents evidence maturity and model reliability.
Tracks whether state is improving, holding, or drifting.
Determines whether to maintain, adapt, escalate, or observe.
Defines whether SETPOINT has enough signal to act.
Prevents computation from becoming autonomous clinical authority.
State is an interpreted computational surface, not a diagnosis.
Confidence reflects model reliability, not medical certainty.
Transition logic determines system action posture, not clinical mandate.
SETPOINT operationalizes state through protocols and practices.
StateK should compute state and readiness, while SETPOINT decides execution behavior.
State output should include confidence so downstream systems know how strongly to act.
Maintain, adapt, escalate, or observe decisions should be traceable to runtime evidence.