How I support health AI governance—from organisational readiness to ongoing oversight

I help healthcare organisations understand their governance readiness, review AI use cases in context, and turn established guidance and available evidence into practical next steps.

Level 1 · Organisational foundation

Can your organisation govern AI responsibly?

This comes before—and supports—individual AI use-case reviews.

I review governance maturity, policies, roles and decision rights, regulatory alignment, AI inventory and procurement, data oversight, workforce capability, escalation, incident management and change control.

You receive: an overview of current readiness, priority areas and a practical governance roadmap.

Level 2 · AI use-case advisory pathway

1

Understand the use case and decision

How I support you

Work with stakeholders to clarify the intended clinical purpose, setting, users, workflow, affected populations, boundaries, ownership and the decision that needs to be informed.

You receive: a shared use-case summary, stakeholder and responsibility map, and key governance questions.

2

Identify risks and plan the review

How I support you

Explore potential clinical, technical, human, organisational, equity and legal risks, then connect them to evidence questions and proportionate review activities.

You receive: a risk-and-evidence map and a practical review plan.

3

Review the evidence in context

How I support you

Bring together available technical, clinical, operational and human-factors evidence, identify important gaps, and consider the model, workflow, users and organisation together.

You receive: an integrated view of strengths, limitations, evidence gaps and practical implications.

4

Develop practical recommendations

How I support you

Interpret the findings with leadership, outline proportionate safeguards and priorities, clarify ownership, and identify where further technical, clinical or legal expertise is needed.

You receive: an advisory report with recommended actions, responsibilities and considerations for decision-makers.

5

Support ongoing governance

How I support you

Help define monitoring questions, responsibilities, user feedback, incident escalation, material changes and the circumstances that should prompt another review.

You receive: a practical monitoring, change-management and follow-up review roadmap.

How I use established resources

I use these resources as structured reference points to inform advice. Their relevance depends on the organisation, use case, technology and stage of adoption.

Governance and risk guidance

NIST AI RMFISO/IEC 42001

Healthcare lifecycle practices

FUTURE-AIWHO guidance

Model, safety and robustness evaluation

MedHELM Safety methods

Transparent study reporting, where applicable

DECIDE-AITRIPOD+AI
The outcome: clearer governance questions, evidence gaps, responsibilities and practical next steps—tailored to the organisation's maturity and AI use case.