{"id":1769,"date":"2026-08-28T13:46:04","date_gmt":"2026-08-28T13:46:04","guid":{"rendered":"https:\/\/facultyhub.elsevier.com\/en\/?page_id=1769"},"modified":"2026-09-17T01:33:43","modified_gmt":"2026-09-17T01:33:43","slug":"ai-in-healthcare-white-paper","status":"publish","type":"page","link":"https:\/\/facultyhub.elsevier.com\/en\/ai-in-healthcare-white-paper","title":{"rendered":"AI in Healthcare White paper"},"content":{"rendered":"\n
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New from Elsevier: Developed with industry experts<\/p>\n\n\n\n

AI in Healthcare Education<\/em> White Paper<\/h1>\n\n\n\n

A landmark white paper exploring how artificial intelligence is transforming the classroom, the clinic and the future of healthcare training \u2014 released in four parts, starting now.<\/p>\n\n\n\n

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ABOUT THIS WHITE PAPER<\/strong>: The expert view <\/em>on AI in healthcare education<\/h2>\n\n\n\n
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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.<\/p>\n\n\n\n

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.<\/em><\/p>\n\n\n\n

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.<\/p>\n\n\n\n

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. <\/p>\n\n\n\n

WHAT’S INSIDE: A FOUR-PART SERIES<\/strong><\/p>\n\n\n\n

Section 1 \u2014 Health education in the age of AI <\/strong>(Available now)<\/em> 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.\"<\/p>\n\n\n\n

Section <\/strong>2 \u2014 Perspectives from all sides<\/strong> (Coming next)<\/em> A 360-degree view of how AI is reshaping every stakeholder’s role and experiences – institutions, students and faculty.<\/p>\n\n\n\n

Section <\/strong>3 \u2014 Key issues shaping healthcare education in the age of AI<\/strong> (Coming soon) <\/em>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.<\/p>\n\n\n\n

Section <\/strong>4 \u2014 The future of AI in healthcare education<\/strong> (Closing the series)<\/em> Where things stand today, where the gaps remain, and what experts predict comes next – in the classroom, in practice and beyond.<\/p>\n<\/section>\n<\/div>\n\n\n\n

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Don’t miss a section<\/h3>\n\n\n\n

Fill out the form below to access Section 1 – Health education in the age of AI<\/em> <\/strong>today.<\/p>\n\n\n\n

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.<\/p>\n\n\n