{"id":2056,"date":"2026-09-24T12:21:46","date_gmt":"2026-09-24T12:21:46","guid":{"rendered":"https:\/\/facultyhub.elsevier.com\/en\/?p=2056"},"modified":"2026-09-24T20:28:16","modified_gmt":"2026-09-24T20:28:16","slug":"rethinking-assessment-healthcare-education-in-the-age-of-ai","status":"publish","type":"post","link":"https:\/\/facultyhub.elsevier.com\/en\/rethinking-assessment-healthcare-education-in-the-age-of-ai","title":{"rendered":"Rethinking Assessment: Healthcare Education in the Age of AI"},"content":{"rendered":"\n

About This Webinar<\/h2>\n\n\n\n

As AI becomes embedded in both learning and clinical practice, how does medical education assessment need to evolve to ensure it continues to measure genuine competence and knowledge?<\/p>\n\n\n\n

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In this webinar, moderated by David Game<\/strong>, panelists Shiran Juttla<\/strong>, Professor Juan Jos\u00e9 Beunza Nuin<\/strong> and Pippa Furey<\/strong> will explore the current climate of assessment in an AI-enabled world, the issues this has raised \u2013 such as shadow AI use among students \u2013 and the opportunities it creates for redesigning assessment and supporting faculty. The session will also examine how AI should be integrated into assessment to ensure students’ core competencies are properly developed, as well as the practical realities of assessment change that institutions and faculty must navigate.<\/p>\n\n\n\n

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Register<\/a><\/div>\n<\/div>\n\n\n\n
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  • Date<\/strong>: Thursday 8 October 2026<\/li>\n\n\n\n
  • Time<\/strong>: \n
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    • 3:00 PM \u2013 United Kingdom & Portugal<\/li>\n\n\n\n
    • 4:00 PM \u2013 Netherlands, Spain, Italy, Czechia, Poland, Slovakia, South Africa<\/li>\n\n\n\n
    • 5:00 PM \u2013 Eastern Europe & Middle East<\/li>\n\n\n\n
    • 6:00 PM \u2013 United Arab Emirates<\/li>\n\n\n\n
    • 8:00 AM \u2013 Mexico, Costa Rica<\/li>\n\n\n\n
    • 9:00 AM \u2013 Colombia, Peru, Ecuador, Panama<\/li>\n\n\n\n
    • 10:00 AM \u2013 Chile, Venezuela, Bolivia, Dominican Republic, Puerto Rico<\/li>\n\n\n\n
    • 11:00 AM \u2013 Argentina<\/li>\n<\/ul>\n<\/li>\n\n\n\n
    • Duration<\/strong>: 1 hour<\/li>\n\n\n\n
    • Language<\/strong>: English (and Spanish, with real-time AI-generated closed captions)<\/li>\n\n\n\n
    • Location<\/strong>: Virtual (recorded)<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
      <\/div>\n\n\n\n

      Sign up today to receive the full session recording, even if you can\u2019t join us live.<\/p>\n\n\n\n

      Speakers<\/h2>\n\n\n\n
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      Shiran Juttla<\/h3>\n\n\n\n

      Director of Product Management and AI Products at Elsevier<\/strong><\/p>\n\n\n\n

      Shiran leads product and AI strategy across Elsevier’s global healthcare education portfolio. She led the development and launch of StudyFinder AI, the AI-powered study companion embedded within ClinicalKey Student, deployed across 1,700 institutions in 60+ countries. Her AI work focuses on identifying high-value use cases within real learning workflows and ensuring outputs are grounded in trusted content in healthcare and education contexts.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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      Professor Juan Jos\u00e9 Beunza Nuin<\/h3>\n\n\n\n

      Professor of Public Health and Interprofessional Education and Director of the AI and Health Research Group (IASalud) at the European University of Madrid (UEM)<\/strong><\/p>\n\n\n\n

      Juan is a medical doctor specializing in Internal and Tropical Medicine, with a doctorate in cardiovascular epidemiology and nutrition and a Master of Science in Public Health from Harvard. He currently serves as a Professor at the Universidad Europea de Madrid (UEM). His research has long focused on applying predictive algorithms and machine learning to healthcare, and he is the Director of IASalud-UEM \u2013 a research group dedicated to the practical application of AI in health and medical education. Juan is the author of \"Manual pr\u00e1ctico de inteligencia artificial para entornos sanitarios\" (Elsevier, 2020), a practical guide to AI in healthcare settings, and sits on the Editorial Board of the Journal of Interprofessional Care and the Board of Directors of CAIPE (UK).<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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      Pippa Furey<\/h3>\n\n\n\n

      Senior Lecturer in Paramedic Practice and Emergency Care at Nottingham Trent University; National AI Lead (Education) at the Royal College of Paramedics\u202f<\/strong><\/p>\n\n\n\n

      Pippa began her career in frontline emergency care before qualifying as a paramedic in 2018. After five years in clinical practice, she transitioned into paramedic education and now teaches at Nottingham Trent University. Alongside her teaching, Pippa researches the integration of AI in healthcare education, exploring how AI can transform learning environments and contribute to improved patient outcomes, as well as its ethical, practical and pedagogical implications.<\/p>\n\n\n\n

      She is the National AI Lead (Education) at the Royal College of Paramedics, consulting on integrating AI into paramedic training, and advised the Health and Care Professions Council on its Standards of Education and Training (SET) review, with a specific focus on the integration of AI.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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      [Moderator] David Game, MA (Cantab), MBA<\/h3>\n\n\n\n

      Senior Vice President in Medical Education Partnerships at Elsevier <\/strong><\/p>\n\n\n\n

      David has had a long career in educational technology, both in the UK and USA. Since joining Elsevier, he has been responsible for driving the medical and nursing education product strategy \u2013launching ClinicalKey Student in 2018 and growing the portfolio both organically and by acquisition to a value of $90 million.<\/p>\n\n\n\n

      In his new role as Senior Vice President of Medical Education Partnerships, David focuses on building relationships with medical and nursing education leaders. As we navigate the challenges AI brings to education, David listens to a wide range of voices in the field and shares Elsevier\u2019s approach to AI, in line with its responsible AI principles. Most recently, he has presented at the AMEE conference, led a workshop on the impact of AI on education in South Africa, and continues to share his perspective regularly on LinkedIn.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

      Who Should Attend<\/h2>\n\n\n\n

      We welcome medical and nursing educators, leaders, clinicians, and librarians who are interested in the role of AI in healthcare education and assessment.<\/p>\n\n\n\n

      <\/p>\n","protected":false},"excerpt":{"rendered":"

      Understanding how AI is reshaping what and how we assess, and what it takes to build authentic, trustworthy assessment for future health professionals.<\/p>\n","protected":false},"author":289,"featured_media":2419,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-event","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"event_date":"2026-10-08","event_end_date":"","event_location":"","event_cta_text":"","event_form_url":"","event_bigmarker_id":"63e8c57e19d0","testimonial_name":"","testimonial_role":"","testimonial_institution":"","testimonial_country":"","_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[2,6],"tags":[186,57,66,165,33,61],"class_list":["post-2056","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-webinar","tag-assessments","tag-elsevier","tag-exam-preparation","tag-faculty-adoption","tag-medical-education","tag-student-engagement"],"yoast_head":"\nRethinking Assessment: Healthcare Education in the Age of AI - 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