Learning to Teach AI: Understanding the Needs of Healthcare Professionals

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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Publication Details

Journal
Studies in health technology and informatics
Published
2025-02-18
DOI
https://doi.org/10.3233/shti250013
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
7.79
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article

Learning to Teach AI: Understanding the Needs of Healthcare Professionals

Tharshini Jeyakumar, Mohammad Salhia, Dalia Al-Mouaswas, Jane Mattson et al.
2 citations
Studies in health technology and informatics
Artificial Intelligence in Healthcare and Education
7.79
article

Learning to Teach AI: Understanding the Needs of Healthcare Professionals

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

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.

Studies in health technology and informaticsVol. 322
University Health Network (CA), University of Toronto (CA), Michener Institute (CA), Vector Institute (CA)
Quality Education
Openalex Percentile: Top 4%
Artificial Intelligence in Healthcare and Education
7.79
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