HealthCloud
K

AI Governance

Manage AI model providers, safety guardrails, and compliance policies

Model Configuration

0.3

Guardrails

PHI Masking Active

Auto-redact PHI before AI calls

Clinical Safety Filters

Block unsafe clinical recommendations

Output Validation

Validate structured outputs

Inference Latency (24h)

Token Usage by Model

Model Pipeline โ€” Clinical Decision Support

๐Ÿ’ฌ User Input
โ†’
๐Ÿค– Clinical Triage Agent
โ†’
๐Ÿง  GPT-5 Clinical (Primary)
โ†’
๐Ÿ” Claude Clinical (Fallback)
โ†’
โœ… Output Validator
โ†’
๐Ÿ“ค Structured Output

6 pipeline stages ยท 6 connections

AI CopilotHealthCloud Studio

Autonomy Level

HealthCloud Studio Actions

e.g. โ€œBuild a remote hypertension monitoring appโ€

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 โ€” enforced at runtime.
Copilot suggestions are bounded by your project's compliance policy.

Copilot doesn't just suggest โ€” it executes within governed boundaries.