AI in Healthcare Curricula: Preparing Future Healthcare Professionals for AI in the Workplace
DOI:
https://doi.org/10.33423/gnzanf40Keywords:
higher education, Artificial Intelligence (AI), healthcare education, ethical decision-making, curriculum development, healthcare administration/managementAbstract
Artificial Intelligence (AI) is increasingly reshaping healthcare delivery, offering new capabilities in diagnostics, treatment planning, patient management, and administrative efficiency. As these technologies rapidly expand across clinical and operational domains, healthcare professionals must be prepared to navigate both opportunities and challenges. This paper examines the need for integrating AI education into healthcare curricula to ensure graduates are equipped with the knowledge, skills, and ethical awareness required in an AI-driven workplace. Drawing on current research and emerging best practices, the implications of AI adoption for professional roles and competencies are highlighted, as are the barriers to effective curriculum design and strategies for embedding AI literacy within medical and health sciences education. Higher education institutions play a critical role in shaping the healthcare workforce’s readiness by fostering both technical fluency and critical reflection on AI’s societal impact. The manuscript concludes with recommendations for aligning curricula to support future healthcare professionals as competent, adaptive, and responsible users of AI technologies.
References
Ahmed, M., Spooner, B., Isherwood, J., Lane, M., Orrock, E., & Dennison, A. (2023, October 4). A systematic review of the barriers to the implementation of artificial intelligence in healthcare. Cureus, 15(10), e46454. https://doi.org/10.7759/cureus.46454
Alami, H., Lehoux, P., Papoutsi, C., Shaw, S.E., Fleet, R., & Fortin, J.-P. (2024). Understanding the integration of artificial intelligence in healthcare organisations and systems through the NASSS framework: A qualitative study in a leading Canadian academic centre. BMC Health Services Research, 24(1), 1–24. https://doi.org/10.1186/s12913-024-11112-x
Ali, O., Abdelbaki, W., Shrestha, A., Elbasi, E., Alryalat, M.A.A., & Dwivedi, Y.K. (2023). Systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities. Journal of Innovation & Knowledge, 8(1), 100333. https://doi.org/10.1016/j.jik.2022.100333
Alenezi, A., Alshammari, M.H., Ibrahim, I.A., & Liu, X. (2024). Optimizing nursing productivity: Exploring the role of artificial intelligence, technology integration, competencies, and leadership. Journal of Nursing Management, pp. 1–15. https://doi.org/10.1155/2024/8371068
American Hospital Association. (2024). CMS requests information on AI that can improve health outcomes and delivery. AHA.
Anawati, A., Fleming, H., Mertz, M., Bertrand, J., Dumond, J., Myles, S., . . . Cameron, E. (2024). Artificial intelligence and social accountability in the Canadian health care landscape: A rapid literature review. PLOS Digital Health, 3(9), 1–17. https://doi.org/10.1371/journal.pdig.0000597
Arslan, J., Benke, K.K., & Baird, P.N. (2020). Artificial intelligence in medicine: What are the implications for the medical practitioner? ACNEM Journal, 39(2), 21–22.
Arvai, N., Katonai, G., & Mesko, B. (2025). Health care professionals’ concerns about medical AI and psychological barriers and strategies for successful implementation: Scoping review. Journal of Medical Internet Research, 27, e66986. https://doi.org/10.2196/66986
Atalan, A., Keskin, A., & Özer, S. (2024). Exploring ChatGPT’s role in healthcare management: Opportunities, ethical considerations, and future directions. International Journal of Healthcare Management, 1–13. https://doi.org/10.1080/20479700.2024.2444102
Bajwa, J., Munir, U., Nori, A., & Williams, B. (2021). Artificial intelligence in healthcare: Transforming the practice of medicine. Future Healthcare Journal, 8(2). https://doi.org/10.7861/fhj.2021-0095
Busch, F., Hoffmann, L., Truhn, D., Ortiz-Prado, E., Makowski, M.R., Bressem, K.K., & Adams, L.C. (2024). Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties. BMC Medical Education, 24(1), 1066.
Chen, C., Loh, E.-W., Kuo, K.N., & Tam, K.-W. (2019). The times they are a-changin’—Healthcare 4.0 is coming! Journal of Medical Systems, 44, 40. https://doi.org/10.1007/s10916-019-1513-0
Cheng, S.-F. (2024). Embracing the era of artificial intelligence: Innovation and preparation in nursing education. The Journal of Nursing, 71(2), 4–5. https://doi.org/10.6224/JN.202404_71(2).01
Crossnohere, N.L., Elsaid, M., Paskett, J., Bose-Brill, S., & Bridges, J.F. (2022). Guidelines for artificial intelligence in medicine: Literature review and content analysis of frameworks. Journal of Medical Internet Research, 24(8), e36823. https://doi.org/10.2196/36823
Crigger, E., Reinbold, K., Hanson, C., Kao, A., Blake, K., & Irons, M. (2022). Trustworthy augmented intelligence in health care. Journal of Medical Systems, 46(2), 1–11. https://doi.org/10.1007/s10916-021-01790-z
Feigerlova, E., Hani, H., & Hothersall-Davies, E. (2025). A systematic review of the impact of artificial intelligence on educational outcomes in health professions education. BMC Medical Education, 25(1), 129.
Dankwa-Mullan, I. (2024, August 22). Health equity and ethical considerations in using artificial intelligence in public health and medicine. Preventing Chronic Disease, 21(2), 240245. https://doi.org/10.5888/pcd21.240245
Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Dearing, J.W., & Cox, J.G. (2018). Diffusion of innovations theory, principles, and practice. Health Affairs, 37(2), 183–190. https://doi.org/10.1377/hlthaff.2017.1104
Gazquez-Garcia, J., Sánchez-Bocanegra, C.L., & Sevillano, J.L. (2025). AI in the health sector: Systematic review of key skills for future health professionals. JMIR Medical Education, 11(1), e58161.
Han, E.-R., Yeo, S., Kim, M.-J., Lee, Y.-H., Park, K.-H., & Roh, H. (2019). Medical education trends for future physicians in the era of advanced technology and artificial intelligence: An integrative review. BMC Medical Education, 19(1), 460. https://doi.org/10.1186/s12909-019-1891-5
Harvard Medical School Executive Education. (2024, September 10). AI in health care: From strategies to implementation.
Harvard Medical School Executive Education. (2025). Leading digital transformation in healthcare.
Hodges, C., & Ocak, C. (2023). Integrating generative AI into higher education: Considerations. Educause Review.
Hoose, S., & Králiková, K. (2024). Artificial intelligence in mental health care: Management implications, ethical challenges, and policy considerations. Administrative Sciences, 14(9), 227. https://doi.org/10.3390/admsci14090227
Hopson, S., Mildon, C., Hassard, K., Kubalek, C., Laverty, L., Urie, P., & Corte, D.D. (2025). Enhancing AI literacy in undergraduate pre-medical education through student associations: An educational intervention. BMC Medical Education, 25(1), 1–9. https://doi.org/10.1186/s12909-025-07556-2
Iqbal, U., Celi, L.A., Hsu, Y.-H.E., & Li, Y.-C.J. (2022). Healthcare artificial intelligence: The road to hell is paved with good intentions. BMJ Health & Care Informatics, 29, e100650. https://doi.org/10.1136/bmjhci-2022-100650
Joseph, G., Bhatti, N., Mittal, R., & Bhatti, A. (2025). Current application and future prospects of artificial intelligence in healthcare and medical education: A review of literature. Cureus, 17(1), e77313. https://doi.org/10.7759/cureus.77313
Kaplan, D.A. (2024). Malpractice in the age of AI. Rheumatology News, 16.
Kasyanau, A. (2024). Balancing the cost of AI in healthcare: Future savings vs. current spending. Forbes Council.
Khosravi, M., Zare, Z., Mojtabaeian, S.M., & Izadi, R. (2024). Artificial intelligence and decision-making in healthcare: A thematic analysis of a systematic review of reviews. Health Services Research and Managerial Epidemiology, 11, 23333928241234863. https://doi.org/10.1177/23333928241234863
Knopp, M.I., Warm, E.J., Weber, D., Kelleher, M., Kinnear, B., Schumacher, D.J., & Turner, L. (2023). AI-enabled medical education: Threads of change, promising futures, and risky realities across four potential future worlds. JMIR Medical Education, 9, e50373.
Koo, T.H., Zakaria, A.D., Ng, J.K., & Leong, X.B. (2024). Systematic review of the application of artificial intelligence in healthcare and nursing care. Malaysian Journal of Medical Sciences, 31(5), 135–142. https://doi.org/10.21315/mjms2024.31.5.9
Kotp, M.H., Ismail, H.A., Basyouny, H.A.A., Aly, M.A., Hendy, A., Nashwan, A.J., & Abd Elmoaty, A.E.E. (2025). Empowering nurse leaders: Readiness for AI integration and the perceived benefits of predictive analytics. BMC Nursing, 24, 56. https://doi.org/10.1186/s12912-024-02653-x
Kovari, A. (2024). AI for decision support: Balancing accuracy, transparency, and trust across sectors. Information, 15(11). https://doi.org/10.3390/info15110725
Lambert, S.I., Madi, M., Sopka, S., Lenes, A., Stange, H., Buszello, C.-P., & Stephan, A. (2023). An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals. NPJ Digital Medicine, 6, 111. https://doi.org/10.1038/s41746-023-00852-5
Lora, L., & Foran, P. (2024). Nurses’ perceptions of artificial intelligence integration into practice: An integrative review. Journal of Perioperative Nursing, 37(3), e22–e24.
McKinsey and Company. (2025). Generative AI in healthcare: Current trends and future outlook.
Mitra, N.K., Chitra, E., Wong, P.S., Sow, C.F., Binti Abd Razak, S.S., Er, H.M., & Nadarajah, V.D. (2023). Artificial intelligence: Opportunities and challenges in health professions education. International E-Journal of Science, Medicine & Education, 17(3), 2–8. https://doi.org/10.56026/imu.17.3.2
Montejo, L., Fenton, A., & Davis, G. (2024). Artificial intelligence applications in healthcare and considerations for nursing education. Nurse Education in Practice, 80, 104158. https://doi.org/10.1016/j.nepr.2024.104158
Movahed, M., & Bilderback, S. (2024). Evaluating the readiness of healthcare administration students to utilize AI for sustainable leadership: A survey study. Journal of Health Organization and Management, 38(4), 567–582.
Mustafa, M.Y., Tlili, A., Lampropoulos, G., Huang, R., Jandrić, P., & Zhao, J. (2024). A systematic review of literature reviews on artificial intelligence in education: A roadmap to a future research agenda. Smart Learning Environments, 11, 59. https://doi.org/10.1186/s40561-024-00350-5
Neher, M., Petersson, L., Nygren, J.M., Svedberg, P., Larsson, I., & Nilsen, P. (2023). Innovation in healthcare: Leadership perceptions about AI. Implementation Science Communications, 4(1), 81. https://doi.org/10.1186/s43058-023-00458-8
Palaniappan, K., Lin, E.Y.T., Vogel, S., & Lim, J.C.W. (2024). Gaps in global regulatory frameworks for AI in healthcare. Healthcare, 12(17), 1730. https://doi.org/10.3390/healthcare12171730
Popa, S.L., Ismaiel, A., Brata, V.D., Turtoi, D.C., Barsan, M., Czako, Z., Pop, C., Muresan, L., Stanculete, M.F., & Dumitrascu, D.I. (2024). Artificial intelligence and medical specialties: Support or substitution? Medicine & Pharmacy Reports, 97(4), 409–418. https://doi.org/10.15386/mpr-2696
Popadić, S.N., & Sjeničić, M. (2024). The use of artificial intelligence in healthcare and medicine: Legal aspects. Journal of Ethics & Legal Technologies, 6(2), 21–39.
Potter, A., Munsch, C., Watson, E., Hopkins, E., Kitromili, S., & O’Neill, I.C. (2025). Identifying research priorities in digital education for healthcare. Journal of Medical Internet Research, 27, e66157. https://doi.org/10.2196/66157
Rincón, E.H.H., Jimenez, D., Chavarro Aguilar, L.A., Pérez Flórez, J.M., Romero Tapia, Á.E., & Jaimes Peñuela, C.L. (2025). Mapping the use of artificial intelligence in medical education. BMC Medical Education, 25, 526. https://doi.org/10.1186/s12909-025-07089-8
Rahimzadeh, V., Kostick-Quenet, K., Blumenthal-Barby, J., & McGuire, A.L. (2023). Ethics education in the era of ChatGPT. The American Journal of Bioethics, 23(10), 17–27. https://doi.org/10.1080/15265161.2023.2233358
Senkaiahliyan, S., Petch, J., Sekercioglu, N., & Sriharan, A. (2024). A primer on artificial intelligence for healthcare administrators. Healthcare Quarterly, 27(1), 26–33. https://doi.org/10.12927/hcq.2024.27325
Singh, A.P., Saxena, R., Saxena, S., & Maurya, N.K. (2024). Artificial intelligence revolution in healthcare. Asian Journal of Advances in Research, 7(1), 241–263.
Uygun İlikhan, S., Özer, M., Tanberkan, H., & Bozkurt, V. (2024). How to mitigate the risks of AI in medicine? Turkish Journal of Medical Sciences, 54(3), 483–492. https://doi.org/10.55730/1300-0144.5814
Vishwakarma, L.P., Singh, R.K., Mishra, R., & Kumari, A. (2025). AI for resilient and sustainable healthcare systems. International Journal of Production Research, 63(2), 822–844. https://doi.org/10.1080/00207543.2023.2188101
