Runtime Governance

DT4H runtime governance keeps state, confidence, and calibration explainable.

Runtime governance defines how state is produced, how confidence is interpreted, how calibration is bounded, and how provenance remains visible.

Governance flow #

EVIDENCERuntime Inputs

Signals · outcomes · notes · practices · events

PROVENANCETraceability

Source · freshness · confidence · assumptions

STATEStateK Output

Readiness · trajectory · transition · uncertainty

BOUNDARYGoverned Use

Review · limitations · non-diagnostic interpretation

Governance principles #

01

State provenance

Every state should be traceable to signal sources, timing, and calibration context.

02

Confidence visibility

Confidence must describe evidence maturity, not clinical certainty.

03

Calibration boundaries

Recalibration should be evidence-linked and explainable.

04

Fallback transparency

When evidence is sparse, the runtime should say so clearly.

05

Review paths

Clinically sensitive outputs require human review and governance posture.

06

Non-diagnostic output

Runtime state must remain bounded as infrastructure support.

LayerGovernance Framework
StatusActive Draft
SystemDT4H / StateK / SETPOINT
BoundaryInfrastructure, not diagnosis
System lineageDT4HTwinStateKSETPOINTOutcomesRecalibration
Infrastructure boundaryDT4H models cohorts, Twins, calibration, and runtime state. It does not diagnose, prescribe, or replace licensed clinical judgment.
Document statusInfrastructure draft
Last updatedMay 2026
Applies toDT4H.ai / AvatarK.ai ecosystem