Use Case / SoCal Pilots

DT4H supports SoCal clinic pilots for bounded longitudinal validation.

SoCal pilot environments can validate DT4H runtime behavior across OBGYN, pediatrics, SETPOINT execution loops, ArenaK signal generation, and clinician-guided review.

SoCal pilot flow #

CLINICSObserved Workflow

OBGYN · pediatrics · history · follow-ups · outcomes

→
DT4HRuntime Model

Cohorts · Twins · confidence · calibration

→
STATEKState Surface

Readiness · trajectory · transition logic

→
SETPOINT + ARENAKExecution + Signals

Practices · gameplay · outcomes · recalibration

Pilot workstreams #

01

OBGYN workflows

PCOS, fertility, pregnancy, postpartum, metabolic recovery, and longitudinal care context.

02

Pediatric context

Family care continuity, child development context, caregiver workflows, and longitudinal follow-up.

03

EHR extraction

Historical chart signals, labs, visits, diagnoses, medications, and care-pathway context.

04

Clinician review

Capture how clinicians interpret longitudinal patterns, adherence, and care transitions.

05

SETPOINT execution

Protocols, practices, check-ins, outcomes, and feedback loops.

06

ArenaK signals

Adaptive gameplay, resilience signals, behavioral rhythm, and engagement data.

Validation focus #

RuntimeDoes it update?

Verify confidence, state, trajectory, and calibration changes over time.

WorkflowDoes it fit?

Evaluate whether DT4H/SETPOINT maps to clinic realities without workflow overload.

GovernanceIs it bounded?

Confirm outputs remain non-diagnostic and clinician-reviewed.

OutcomesDoes feedback help?

Measure whether practices and ArenaK signals improve recalibration quality.

LayerGovernance Framework
StatusActive Draft
SystemDT4H / StateK / SETPOINT
BoundaryInfrastructure, not diagnosis
System lineageDT4H→Twin→StateK→SETPOINT→Outcomes→Recalibration
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