Health systems have records, visits, labs, devices, and workflows. DT4H adds the missing infrastructure layer: cohort-aware Twins that can initialize, calibrate, compute state, and learn from outcomes over time.
EHRs, labs, notes, devices, and behaviors remain disconnected.
Cohorts · reference humans · Twins · calibration
Confidence · readiness · trajectory · transition logic
Protocols · practices · outcomes · recalibration
They preserve encounters, but not always adaptive interpretation across time.
Experienced clinicians carry mental models built from years of pattern recognition.
They add data, but do not automatically create calibrated person models.
It connects context, priors, confidence, trajectory, and feedback.
Bounded state becomes practices, protocols, outcomes, and recalibration loops.
DT4H is infrastructure, not autonomous diagnosis or treatment.
Initialize and calibrate the person model before making execution decisions.
Expose model maturity and evidence strength instead of hiding uncertainty.
Model what is changing, not only what was measured once.
Separate infrastructure, research, and clinical authority.