Empowering educators: AI literacy as a catalyst for competency-based health information training

This study identified several important knowledge gaps on the influence of demographic factors on AI literacy, which informs workforce-aligned training recommendations. These findings underscore the need for competency-based education to strengthen AI readiness within the health information workplace.Implications for health information management practice:The thematic analysis demonstrated the urgent need for AI knowledge, training and literacy for HI professionals and students. Themes from the LDA topic modelling informed the development of AI educational frameworks, structured into domains, subdomains and specific components of educational competencies. With multidisciplinary collaboration and further research, standardised AI core competencies for HI professionals could be created, validated by experts and adopted across educational programs to improve AI literacy in the HI field.

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Publication Details

Journal
Health Information Management Journal
Published
2026-03-23
DOI
https://doi.org/10.1177/18333583261427155
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Empowering educators: AI literacy as a catalyst for competency-based health information training

Jaime Sand, Karima Lalani, Valerie Watzlaf, Susan H. Fenton et al.
Health Information Management Journal
Artificial Intelligence in Healthcare and Education
article

Empowering educators: AI literacy as a catalyst for competency-based health information training

Jaime Sand, Karima Lalani, Valerie Watzlaf, Susan H. Fenton, Diane Dolezel, Mary E Morton, Megan Bailey, Elise Lambert, Beverly Marquez
article en

Abstract

This study identified several important knowledge gaps on the influence of demographic factors on AI literacy, which informs workforce-aligned training recommendations. These findings underscore the need for competency-based education to strengthen AI readiness within the health information workplace.Implications for health information management practice:The thematic analysis demonstrated the urgent need for AI knowledge, training and literacy for HI professionals and students. Themes from the LDA topic modelling informed the development of AI educational frameworks, structured into domains, subdomains and specific components of educational competencies. With multidisciplinary collaboration and further research, standardised AI core competencies for HI professionals could be created, validated by experts and adopted across educational programs to improve AI literacy in the HI field.

Health Information Management Journal
Boise State University (US), Texas State University (US), University of Pittsburgh (US), University of Washington (US), State Fair Community College (US), University of Mississippi Medical Center (US), St. Lawrence College (CA), The University of Texas Health Science Center at Houston (US)
Quality Education
Openalex Percentile: Top 13%
Artificial Intelligence in Healthcare and Education
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