A whitepaper on moving from transactional clinical records to longitudinal adaptive Twin infrastructure.
EHR systems preserve what happened: visits, labs, medications, diagnoses, procedures, and notes. DT4H models what is changing: trajectory, confidence, calibration, state transitions, and longitudinal continuity.
This whitepaper frames DT4H as a complement to EHR systems, not a replacement. It describes how transactional records, clinician interpretation, cohort context, reference-human priors, and outcome feedback can initialize and recalibrate individualized Twins.
Encounters · labs · notes · medications
Cohorts · priors · calibration · confidence
Trajectory · readiness · transition logic
Protocols · practices · outcomes · recalibration
Records are encounter-centered and often fragmented across care settings.
Experienced clinicians carry longitudinal mental models not fully encoded in data fields.
DT4H maintains state, confidence, trajectory, and recalibration across time.
SETPOINT outcomes become new evidence for ongoing model refinement.