New from Elsevier: Developed with industry experts
AI in Healthcare Education White Paper
A landmark white paper exploring how artificial intelligence is transforming the classroom, the clinic and the future of healthcare training — released in four parts, starting now.
ABOUT THIS WHITE PAPER: The expert view on AI in healthcare education
AI’s role in healthcare education is still taking shape – but its impact is already momentous, changing everything from how students learn, how faculty teach and how patients are ultimately cared for.
To capture this moment, Elsevier brought together clinicians, educators, institutional leaders, technology providers and regulators to share their experiences, opinions, concerns and projections in one document: AI in Healthcare Education.
Their expert insights explore the new windows of opportunity AI is opening up and how it is already reshaping healthcare education, as well as day-to-day clinical practice. They also confront the risks – bias, hallucinations, gaps in data protection and governance – and set out the core skills and competencies that students, teachers and institutions must strengthen in this new context.
For faculty, it’s a rare chance to hear directly from peers and leaders across health education – what’s working, what’s unresolved, what’s coming, and what it will take to bring AI into the classroom and practice responsibly, equitably and sustainably.
WHAT’S INSIDE: A FOUR-PART SERIES
Section 1 — Health education in the age of AI (Available now) The state of play: the latest data and evidence, the new opportunities AI creates, personalized learning in practice, and an honest look at the doubts and "healthy skepticism" among educators. Plus: how AI content can be designed for trust, what hallucinations really are, and why AI and clinical thinking are "destined to work together."
Section 2 — Perspectives from all sides (Coming next) A 360-degree view of how AI is reshaping every stakeholder’s role and experiences – institutions, students and faculty.
Section 3 — Key issues shaping healthcare education in the age of AI (Coming soon) The hard questions: security, privacy and data protection; bias; what it means to use AI responsibly, equitably, ethically and sustainably; and criteria for trustworthy architecture in health education AI tools.
Section 4 — The future of AI in healthcare education (Closing the series) Where things stand today, where the gaps remain, and what experts predict comes next – in the classroom, in practice and beyond.
Don’t miss a section
Fill out the form below to access Section 1 – Health education in the age of AI today.
From there, we’ll keep you in the loop. As Sections 2, 3 and 4 are released over the coming weeks, you’ll receive early access by email as soon as each one is available.
"AI is actually restoring the role of the educator. For a long time now, faculty have been buried under marking, assessments, content updates and responding to student queries. But now, AI is actually shouldering a lot of the load, which means that faculty can return to the part of teaching that truly inspired them to do it in the first place."
Dr Philip Xiu, Hon. Senior Lecturer, University of Leeds | Elsevier Faculty Hub, September 2026
Want more on AI in healthcare education?
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