AI Governance in Healthcare: What Boards Need to Ask Before Adopting Clinical AI
The hardest part of adopting clinical AI in a health system is rarely the technology — it's governance: who is accountable when the AI is wrong, where the data lives, and how the board can be confident the system stays safe after launch. This is a practical checklist for boards and executives evaluating a clinical AI deployment, drawn from building and deploying MedTalk AI inside a live public Digital Health Record, and from work on AI governance more broadly.
Why this is a board-level question, not just an IT one
Clinical AI adoption decisions increasingly sit with boards and executive committees rather than IT procurement alone — a scribe, triage tool, or clinical decision-support system carries clinical safety, privacy, and reputational implications beyond a typical software purchase.
The checklist
Data sovereignty and residency
Where is patient data stored and processed, and does that location plus the vendor's contractual terms comply specifically with Australian privacy law, not just a general global privacy statement?
Explainability
Can the vendor clearly explain, in a way clinicians and auditors can act on, why the system produced a specific output? "The model said so" is not sufficient in a clinical context.
Accountability and audit trail
When an AI-generated output contributes to a clinical decision, who is accountable — vendor, clinician, or health system — and is there a complete, exportable audit trail of all AI actions and human reviews?
Clinical safety validation
What validation was completed before deployment, and is there a defined process for ongoing re-validation as models, prompts, or training data evolve?
Security certification
Is the platform certified against a recognised framework such as the ACSC Essential Eight, and how frequently is that certification reviewed or updated?
Ongoing monitoring for drift
As AI systems update over time, what mechanisms detect behavioural drift, and who is responsible for continuous monitoring in production?
A starting point, not a finish line
None of this is meant to slow adoption for its own sake — MedTalk AI's rollout inside Canberra Health Services shows real, measurable benefit when governance is built in from the start rather than retrofitted. The boards and health systems that move fastest and most safely treat these questions as part of procurement from day one, not a post-incident review.