Healthcare

AI governance for healthcare

Healthcare AI touches patient safety and sensitive data, often in high-risk territory. TrustedAIGov gives you a clear inventory, the evidence to stand behind it, and human oversight controls — designed for the EU AI Act and aligned to ISO 42001 and the NIST AI RMF.

Your pressures

Safety, regulation and sensitive data

In healthcare the stakes are clinical — three pressures shape every AI decision.

🩺

Patient safety & high-risk AI

Clinical and diagnostic AI can directly affect patient outcomes and safety.

  • Identify safety-critical AI
  • Document intended use
  • Evidence safe operation
⚖️

EU AI Act

Many healthcare use cases fall into high-risk categories with strict obligations.

  • Classify AI by risk level
  • Map obligations per use case
  • Evidence conformity over time
🔐

Data sensitivity

Patient data demands tight handling, clear provenance and defensible controls.

  • Know where data flows
  • Track data used by AI
  • Defensible handling trail
How TrustedAIGov helps

From inventory to oversight

Three capabilities map directly to the pressures healthcare teams carry.

📚

Inventory & classification

A complete record of every AI asset, its purpose, owner and risk class.

  • One system of record
  • Risk-classified assets
  • An owner on every asset
🧾

Evidence & assurance

Audit-grade evidence that your controls are in place and operating.

  • Tamper-evident evidence
  • Continuous assurance
  • Report-ready output
🧑‍⚕️

Human oversight controls

Controls that keep a person in the loop where it matters most.

  • Human-in-the-loop checks
  • Review and sign-off steps
  • Escalation when needed

Frameworks we align to

We are precise: designed for the EU AI Act, and aligned to the standards healthcare teams report against.

EU AI Act — Designed for ISO/IEC 42001 — Aligned NIST AI RMF — Aligned

Govern your clinical AI with confidence

See where your AI exposure sits today, then put inventory, assurance and oversight in place.

Healthcare in depth

Mapped to your sector

⚖️

Sector regulations

EU AI Act · medical-device rules for AI · health-data protection (GDPR) · ISO/IEC 42001.

🤖

AI use cases

Diagnostic imaging support · patient triage chatbots · genomics models · clinical documentation.

🔌

Connector relevance

Microsoft 365 / Purview · Google Vertex AI · AWS · observability connectors.

🔁

Governance workflow

Discover → clinical-risk classification → validation evidence + post-market surveillance → runtime monitoring → regulator pack.

How it works

From shadow AI to board-ready in four steps

The same path every customer follows — mapped to patient-safety AI and EU AI Act obligations in healthcare.

Connect & discover

Read-only across Microsoft, AWS, Google, SAP and more — 26 connectors across 6 families — or import a CSV. Every AI system and agent, including shadow AI.

Govern

Owner, risk classification and controls mapped to the EU AI Act, ISO 42001, NIST AI RMF and DORA, with a prioritised queue.

Assure

Evidence kept current, a self-explaining Trust Score, and Runtime Assurance enforcing policy at the point of action.

Report & optimise

Board- and regulator-ready reports, an executive dashboard, and AI FinOps.

Security & trust

Built to pass security review

What your CISO, legal and procurement teams ask for — by design.

🔌

Read-only integrations

Metadata, not payloads. Secrets masked and never logged.

🧱

Tenant isolation

Multi-tenant with per-tenant logical isolation; no cross-tenant access.

🔏

Evidence & audit

Tamper-evident evidence ledger and an append-only audit log.

26 connectors · 6 families · Runtime Assurance · AI FinOps · Board reporting.  Visit the Trust Centre →

Related reading: EU AI Act readiness →