FAQ

Frequently asked questions about DT4H.

Clear answers about what DT4H is, what it is not, and how it relates to EHRs, Twins, cohorts, StateK, SETPOINT, ArenaK, and clinical governance.

Core questions #

Is DT4H a diagnostic system?No. DT4H is infrastructure for modeling cohorts, Twins, calibration, state, and runtime evidence. It does not diagnose or prescribe.
How is DT4H different from an EHR?EHRs store transactional clinical history. DT4H models longitudinal state, confidence, trajectory, and recalibration over time.
What is a Twin?A Twin is an individualized longitudinal model informed by cohort context, reference-human priors, observed evidence, and calibration.
What is calibration?Calibration updates model confidence and state as new signals, outcomes, and feedback become available.
What is StateK?StateK computes current state, confidence, readiness, and transition logic from the calibrated Twin.
What is SETPOINT?SETPOINT is the execution runtime that turns bounded state into protocols, practices, outcomes, and feedback loops.

Advanced questions #

01

Why cohorts?

Cohorts provide population context and initialization priors before enough individual history exists.

02

Why reference humans?

Reference humans model expected ranges, variance envelopes, and trajectory priors for comparable contexts.

03

What is ArenaK?

ArenaK generates high-frequency behavioral and adaptive gameplay signals for DT4H modeling.

04

Can clinicians use DT4H?

DT4H can support clinician-guided workflows, but clinical interpretation remains clinician-governed.

05

Can DT4H support research?

Yes, if hypotheses, assumptions, limitations, and validation boundaries are explicitly preserved.

06

What is the main boundary?

DT4H outputs are computational signals, not autonomous medical decisions.

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