DT4H models cohorts, initializes Twins, computes calibration states, and supports downstream runtime systems. Clinical interpretation and operational execution remain separate responsibilities.
Cohorts · reference humans · Twin initialization · calibration
State · confidence · transition · readiness
Protocols · practices · feedback · outcomes
Clinical review · validation · oversight · claims control
Research hypotheses must remain distinct from validated clinical claims.
Cohort and reference-human assumptions should remain inspectable.
Model maturity should be visible rather than implied.
Calibration updates should be traceable and explainable.
Clinical interpretation remains outside autonomous modeling systems.
SETPOINT execution should remain bounded by product and care governance.
Owns cohorts, reference humans, Twin initialization, and calibration.
Owns state, confidence, trajectory, and transition logic.
Owns protocols, practices, outcomes, and feedback capture.
Owns clinical, research, compliance, and validation boundaries.
Clinical, research, and execution boundaries should be visible in product and platform workflows.
Hypothesis, prototype, research, pilot, and regulated deployment should remain distinct.
Any output that could be interpreted clinically should carry confidence, provenance, and boundary language.