Beyond the Bedside in the Age of Artificial Intelligence (AI): Preserving the Humanistic Core of Nursing

Authors

  • Eddieson Pasayan King Khalid University

DOI:

https://doi.org/10.17533/udea.iee.v44n1e01
|Abstract
= 0 veces | PDF
= 0 veces|

Downloads

Download data is not yet available.

Author Biography

Eddieson Pasayan, King Khalid University

Ph.D. Department of Nursing Administration and Education, College of Nursing, King Khalid University, Abha, Saudi Arabia

References

1. Hazarika I. Artificial intelligence: opportunities and implications for the health workforce. International Health. 2020; 12(4):241–5. doi: 10.1093/inthealth/ihaa007

2. Park Y, Chang S, Kim E. Artificial intelligence in critical care nursing: A scoping review. Australian Critical Care. 2025; 38(4):101225. doi: 10.1016/j.aucc.2025.101225

3. El Arab R, Moosa O, Sagbakken M, Ghannam A, Abuadas F, Somerville J, et al. Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions. Frontiers in Public Health. 2025; 13:1619378. doi: 10.3389/fpubh.2025.1619378

4. Rony M, Das A, Khalil M, Peu U, Mondal B, Alam M, et al. The Role of Artificial Intelligence in Nursing Care: An Umbrella Review. Nursing Inquiry. 2025; 32:e70023. doi: 10.1111/nin.70023

5. Wei Q, Pan S, Liu X, Hong M, Nong C, Zhang W. The integration of AI in nursing: addressing current applications, challenges, and future directions. Frontiers in Medicine. 2025; 12:1545420. doi: 10.3389/fmed.2025.1545420

6. Yelne S, Chaudhary M, Dod K, Sayyad A, Sharma R. Harnessing the Power of AI: A Comprehensive Review of Its Impact and Challenges in Nursing Science and Healthcare. Cureus. 2023;1 5(11):e49252. doi: 10.7759/cureus.49252

7. Dailah HG, Koriri M, Sabei A, Kriry T, Zakri M. Artificial Intelligence in Nursing: Technological Benefits to Nurse’s Mental Health and Patient Care Quality. Healthcare. 2024; 12(24):2555. doi: 10.3390/healthcare12242555

8. Rajkomar A, Hardt M, Howell M, Corrado G, Chin M. Ensuring Fairness in Machine Learning to Advance Health Equity. Annals of Internal Medicine. 2018; 169(12):866-72. doi: 10.7326/m18-1990

9. Chen R, Wang J, Williamson D, Chen T, Lipková J, Lu M, et al. Algorithmic fairness in artificial intelligence for medicine and healthcare. Natural Biomedical Engieneering. 2023; 7:719-42. doi: 10.1038/s41551-023-01056-8

10. Shepherd J, McCarthy A. Advancing Nursing Practice Through Artificial Intelligence: Unlocking Its Transformative Impact. Online Journal of Issues in Nursing. 2025; 30(2):Manuscript 1. doi: 10.3912/OJIN.Vol30No02Man01

11. Ronquillo CE, Peltonen LM, Pruinelli L, Chu CH, Bakken S, Beduschi A, et al. Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative. Journal of Advanced Nursing. 2021; 77(9):3707–17. doi: 10.1111/jan.14855

12. Nashwan A, Cabrega J, Othman M, Khedr M, Osman Y, El‐Ashry A, et al. The evolving role of nursing informatics in the era of artificial intelligence. Internal Nursing Review. 2025; 72(1):e13084.

13. Porter A, Foronda C. Enhancing Artificial Intelligence Literacy in Nursing Education to Combat Embedded Biases. Nursing Educative Perspectives. 2024; 45(2):131-2. doi: 10.1097/01.nep.0000000000001245

14. McCarthy A, Agnew J, Price J, Strang K, McLaughlin A. Transforming healthcare AI education through micro-learning: a novel partnership model for nursing workforce development. medRxiv [Preprint]. 2025 . [30 Jul 2025; . doi: 10.1101/2025.07.30.25332439.

Downloads

Published

2026-03-02

How to Cite

Pasayan, E. (2026). Beyond the Bedside in the Age of Artificial Intelligence (AI): Preserving the Humanistic Core of Nursing. Investigación Y Educación En Enfermería, 44(1). https://doi.org/10.17533/udea.iee.v44n1e01

Issue

Section

EDITORIAL