Academic Journal
Beyond AI Literacy: Understanding Health Care Workforce AI Enablement in the Generative AI Era.
| Τίτλος: | Beyond AI Literacy: Understanding Health Care Workforce AI Enablement in the Generative AI Era. |
|---|---|
| Συγγραφείς: | Liu CF; Department of Medical Research, Chi Mei Medical Center, Tainan, Taiwan., Ko YL; Department of Internal Medicine, Chi Mei Medical Center, 901 Zhonghua Rd, Yongkang District, Tainan, 710402, Taiwan, 886 62812811 ext 52590.; General Education Center, Chia Nan University of Pharmacy and Science, Tainan, Taiwan. |
| Πηγή: | Journal of medical Internet research [J Med Internet Res] 2026 Oct 05; Vol. 28, pp. e107290. Date of Electronic Publication: 2026 Oct 05. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE |
| Imprint Name(s): | Publication: <2011- > : Toronto : JMIR Publications Original Publication: [Pittsburgh, PA? : s.n., 1999- |
| Ιατρικοί όροι (MeSH): | Artificial Intelligence* , Health Workforce*, Humans ; Generative Artificial Intelligence |
| Περίληψη: | Unlabelled: The rapid diffusion of generative AI is transforming health care delivery, education, administration, and research. In response, health care organizations have invested heavily in AI literacy initiatives and workforce development programs. Existing frameworks primarily focus on whether health care professionals understand AI and whether they can engage with AI effectively. However, health care practice increasingly reveals that individuals with similar levels of AI literacy and AI engagement often contribute very differently to AI-enabled work and organizational adoption. Some professionals primarily use AI to improve their own work, whereas others facilitate AI adoption, coordinate stakeholders, and integrate AI into routine practice. This observation suggests that current perspectives may overlook an important dimension of workforce AI enablement. In this Viewpoint, we argue that AI literacy and AI engagement alone provide an incomplete explanation of how health care organizations realize the benefits of AI. Drawing upon literature from AI literacy, fluency theory, human-AI interaction, innovation diffusion, implementation science, and health care workforce development, we propose the health care workforce AI enablement matrix (HWAEM). HWAEM conceptualizes workforce AI enablement through 2 complementary capabilities: AI fluency and AI harnessing. AI fluency refers to the capability to engage with AI effectively, appropriately, and responsibly across professional contexts, whereas AI harnessing refers to the capability to identify opportunities for AI-enabled improvement, mobilize stakeholders, facilitate adoption, and integrate AI into collective work practices. The interaction of these capabilities generates 4 workforce profiles: AI novices, AI practitioners, AI facilitators, and AI leaders. Through HWAEM, this Viewpoint argues that health care workforce AI enablement is better understood through the complementary capabilities of AI fluency and AI harnessing than through AI literacy and AI engagement alone. We illustrate how these profiles manifest in health care practice and discuss implications for workforce development and AI implementation. HWAEM offers a new perspective for understanding health care workforce preparedness in the generative AI era and provides a foundation for future empirical research. (© Chung-Feng Liu, Yen-Ling Ko. Originally published in the Journal of Medical Internet Research (https://www.jmir.org).) |
| References: | JMIR Med Educ. 2025 Feb 05;11:e58161. (PMID: 39912237) J Med Internet Res. 2025 Dec 8;27:e76709. (PMID: 41359863) Milbank Q. 2004;82(4):581-629. (PMID: 15595944) J Med Internet Res. 2025 Aug 26;27:e74187. (PMID: 40857713) Behav Anal. 1996 Fall;19(2):163-97. (PMID: 22478257) |
| Contributed Indexing: | Keywords: AI; AI enablement; AI fluency; AI harnessing; AI literacy; artificial intelligence; artificial intelligence enablement; artificial intelligence fluency; artificial intelligence harnessing; artificial intelligence literacy; health care workforce |
| Entry Date(s): | Date Created: 20261005 Date Completed: 20261005 Latest Revision: 20261007 |
| Update Code: | 20261007 |
| PubMed Central ID: | PMC13637978 |
| DOI: | 10.2196/107290 |
| PMID: | 42832696 |
| Βάση Δεδομένων: | MEDLINE |
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