Learning to Teach AI: Understanding the Needs of Healthcare Professionals.

Studies in health technology and informatics Pub Date : 2025-02-18 DOI:10.3233/SHTI250013

Tharshini Jeyakumar, Sarmini Balakumar, Sarah Younus, Megan Clare, Rebecca Charow, Dalia Al-Mouaswas, Azra Dhalla, Caitlin Gillan, Jessica Jardine, Sedef Akinli Kocak, Jane Mattson, Mohammad Salhia, Walter Tavares, Melody Zhang, David Wiljer

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Abstract

As Artificial Intelligence (AI) technologies become more integrated into clinical settings to optimize care, healthcare professionals (HCPs) will need to become more adept in responsibly using these novel technologies to augment patient care. A qualitative study, consisting of semi-structured interviews was conducted to explore the informational needs of HCPs and gaps in current AI education. Participants, consisting of educators and learners, were recruited from AI programs. The interview data were analyzed using inductive thematic analysis. Three themes were identified, addressing the need for (1) developing a longitudinal AI curriculum to transform the mindset, skillset, and toolset of providers, (2) cultivating an active learning approach to foster knowledge mobilization and optimize the use of AI tools in the provision of care, and (3) fostering a multidisciplinary approach to AI curriculum design is essential to promote collaborative efforts among HCPs in implementing AI tools. This study identified five key recommendations to prepare HCPs with the knowledge and skills necessary for an AI-driven future.

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Studies in health technology and informatics

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