Use Cases

DT4H applies Digital Twin infrastructure to longitudinal health workflows.

Use cases show how cohort context, reference-human priors, Twin calibration, StateK computation, and SETPOINT execution support real-world workflows without replacing clinical judgment.

Use case map #

EHR to Twin transition #

EHRHistorical Records

Visits · labs · medications · notes · outcomes

DT4HLongitudinal Model

Cohorts · priors · state history · calibration

STATEKCurrent State

Confidence · trajectory · readiness

SETPOINTExecution Loop

Protocols · practices · feedback · recalibration

Clinical value frame #

EHRWhat happened

Transactional history and clinical documentation.

Clinician memoryWhy it mattered

Pattern recognition and longitudinal interpretation.

DT4H TwinWhat is changing

State, confidence, trajectory, and calibration over time.

SETPOINTWhat to do next

Bounded practices, protocols, feedback, and outcomes.

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