Transforming Health Care AI Education Through Micro-learning

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Authors: Amy McCarthy, Jonathan D. Agnew, J. Price, Kathy Strang, Alison McLaughlin
Cited by: 2
References: 12

Abstract

Health care professionals face an urgent need for AI literacy as artificial intelligence technologies rapidly transform clinical practice, yet nursing-specific educational resources remain scarce. The objective of this study was to evaluate the effectiveness of an innovative micro-learning AI education program developed through an academic-industry partnership. We implemented 11 micro-courses (4 to 5 hours each) across foundational, application, and advanced competency levels, with nursing-specific content addressing professional scope and leadership opportunities. The program was delivered through Chamberlain University Center for Faculty Excellence and Walden University School of Lifelong Learning. We analyzed enrollment data, learning outcomes, and satisfaction scores from 478 students and faculty with 612 course completions. Among 612 course completions, registered nurses comprised 49% of participants. Students demonstrated significant knowledge gains (Cohen's d=0.65, P

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education AI in Service Interactions E-Learning and COVID-19

Publication details

Journal / source
CIN Computers Informatics Nursing
Publisher
Ovid Technologies (Wolters Kluwer Health)
Volume
44
Issue
5
Publication date
2 April 2026
Language
EN