HealthCloud
K

Digital Twin Lab

Patient & Population Simulation

Live Simulation Active
Active Digital Twins

128

Simulations Today

3,402

AI Models Applied

12

Alerts Generated

412

Twin Registry

Twin IDPatient NameConditionModelsRisk ScoreStatusLast Updated
DT-1023Robert KimHypertension2 Models
0.88
Active
2m ago
DT-2041Maria LopezDiabetes1 Models
0.65
Active
5m ago
DT-3112James AdamsHeart Failure1 Models
0.92
Warning
12m ago
DT-4023Linda MartinezCOPD1 Models
0.74
Active
25m ago
DT-5031Samantha LeePost-Surgery1 Models
0.15
Stable
1h ago
DT-6014Michael BrownHypertension1 Models
0.42
Active
2h ago

Population Twin Simulation

Scale simulations across patient cohorts

Cohort Size5,000 Patients
ScenarioOutcome PredictedConfidence
Standard ProtocolBaseline maintenance98%
AI-Guided Titration12% reduction in acute events92%

Robert Kim

58y · HypertensionDT-1023

Risk Visualization

Neuro
Cardio

Data Sources

Epic EHROmron BP MonitorApple HealthKit

Applied AI

CardioRisk PredictorMedication Adherence

Risk Profile

Cardiovascular88.0%
Stroke12.0%
Heart Failure45.0%

Care Plan Simulation

Medication adjustmentBP ↓12%
Weight loss planRisk ↓18%
Device monitoringEarly alerts ↑

Intervention Sandbox

Twin Evolution Timeline

2026-03-07

BP spike detected: 162/101

2026-03-05

Medication Lisinopril adjusted

2026-03-01

Twin created from EHR baseline

AI CopilotHealthCloud Studio

Autonomy Level

HealthCloud Studio Actions

e.g. “Build a remote hypertension monitoring app

Quick suggestions

Governed AI Execution

Every action is scoped to your role and organizational permissions.
All AI-generated outputs are logged with actor identity and timestamp.
Patient data access requires a valid consent token — enforced at runtime.
Copilot suggestions are bounded by your project's compliance policy.

Copilot doesn't just suggest — it executes within governed boundaries.