AI Healthcare Consulting & Advisory

Prof. Susan Shelmerdine

The future of AI will be determined by how humans behave around it

Prof. Susan Shelmerdine advises leaders on the risks that emerge when AI enters real-world clinical systems - where human judgement shifts, trust becomes miscalibrated, and patient safety is on the line.

Positioning

AI changes systems.

Responsibility remains human.

Artificial intelligence is already reshaping clinical decisions, organisational priorities, and professional judgement across healthcare.

But its most significant risks are not technical alone.

They emerge through how people interpret, trust, override and act on AI within real-world settings.

Prof. Shelmerdine works with healthcare leaders, policy groups, innovators, and institutions where those dynamics matter most, especially when decisions are high-stakes and uncertainty is unavoidable.

AI doesn’t remove judgement.

It raises the stakes.

Leaders are being asked to make decisions about technologies that affect safety, trust, and professional responsibility.

That requires more than implementation plans or policy language. It requires clear thinking about how AI systems behave in practice, where risk accumulates, and what responsibility looks like when outcomes remain uncertain.

In practice, the hardest questions often sound like these

01.

What happens when clinical systems work differently in reality than in validation studies?

02.

How do organisations prevent automation bias and the erosion of skills needed for meaningful human oversight?

03.

What happens when staff or patients begin using AI beyond its intended scope?

04.

What structures, safeguards, and decision trails need to be in place before adoption?

05.

And when humans and AI appear to disagree, where does liability sit?

SERVICES

Strategic advisory and keynote speaking

Independent advice for leaders making decisions where AI affects high-risk systems, clinical judgement, and organisational trust.

Strategic advisory

Independent, non-vendor-aligned counsel for organisations navigating adoption, oversight, accountability, and system-level risk where clinical judgement and organisational trust are at stake.

Keynotes and executive briefings

Talks for boards, leadership teams, policy forums, and selected conferences on judgement, trust, behavioural risk, and responsible human-AI collaboration in healthcare.

Prof. Susan Shelmerdine — independent AI healthcare consultant and governance advisor

Clinical credibility shaped by real-world systems

Doctor. Academic. Advisor.

Prof Shelmerdine’s work sits at the intersection of healthcare leadership, professional judgement, and emerging technology.

Her perspective is grounded in clinical practice, academic research, NHS implementation, and national advisory work on AI evaluation, deployment, and safety.

She focuses on what becomes harder, not easier, when systems become more automated.

"The question is not whether your AI system performs in a trial. The question is how it behaves in your system, with your people, under real pressure."

Prof. Susan Shelmerdine

AI Advisor & Strategist

Thought leadership

Writing on AI, medicine, and decision-making

Prof Shelmerdine writes about realities behind AI adoption in healthcare, including judgement, behavioural risk, trust, and implementation failure.

Who is responsible when AI shapes clinical decisions?

Accountability in AI-assisted healthcare is neither simple nor settled. This piece maps the responsibility gap and asks what genuine governance actually requires.

Automation bias in healthcare: How AI can distort clinical judgement

When clinicians come to rely on AI-generated recommendations, their capacity for independent assessment quietly diminishes. This piece examines the mechanism and the...

Why AI in healthcare is not just a technical problem

Most AI risk frameworks focus on model performance. The harder and more consequential risks emerge from how AI changes the behaviour of the people who use it.

Thought leadership

THE REAL TEST

A briefing for healthcare leaders

Four questions every leader should ask to determine whether an AI system will work in a real-world system.

A short briefing for leaders who want to identify the hidden patterns behind AI adoption failures, especially where technology meets real human behaviour, service pressure, and organisational uncertainty. 

Thought leadership

For organisations facing these decisions

Prof Shelmerdine works with healthcare leaders, institutions, and organisations thinking carefully about how AI affects judgement, safety, and responsibility.

THE ULTRA-PROCESSED MIND®

Join the early readers exploring the ideas behind the book – and be the first to hear when pre-orders and book tour opens

THE REAL TEST

Most healthcare AI decisions don’t fail at the algorithm. They fail in the gap between validation and real-world use. This short executive briefing shows you where that failure happens—and how to catch it early.