THE ETHICAL DIMENSIONS OF ARTIFICIAL INTELLIGENCE IN NURSING PRACTICE: BALANCING INNOVATION AND HUMAN CARE
Description
Artificial intelligence (AI) is reshaping modern healthcare delivery, and nursing practice stands at the intersection of technology and human care. While AI promises efficiency, precision, and predictive insight, it also introduces ethical complexities that challenge the foundational values of the nursing profession. As AI systems become increasingly embedded in clinical workflows, decision support, and patient engagement, nurses are confronted with new moral dilemmas regarding autonomy, accountability, privacy, and equity. These technologies may enhance efficiency and safety, yet they also risk depersonalizing care and diminishing the empathetic relationships that define nursing practice. This scoping review examines how AI influences nurse autonomy, patient safety, equity, accountability, and professional identity. Guided by PRISMA-ScR, peer-reviewed literature (2010–2025) across clinical, educational, and administrative contexts was analyzed thematically. Five domains recur: (1) data governance, privacy, and bias mitigation; (2) human–AI collaboration and role boundaries; (3) transparency, explainability, and trust; (4) accountability, safety, and liability; and (5) implementation readiness, training, and policy alignment. Findings indicate that AI can augment decision-making and outcomes yet risk algorithmic bias, data misuse, depersonalized care, and ambiguous responsibility when harm occurs. Ethical concerns extend beyond individual nurses to institutional governance and public trust. Ethical integration of AI in nursing requires nurse-led participation in design and governance, transparent documentation and auditing, equity-centred evaluation (including calibration and clinical utility), and continuous post-deployment monitoring. Sustaining human-centered care in the digital era demands policies and practices that balance innovation with compassion, ensuring that technological progress strengthens rather than undermines the moral and relational core of nursing.
Files
1 THE ETHICAL DIMENSIONS OF ARTIFICIAL INTELLIGENCE IN NURSING PRACTICE BALANCING INNOVATION AND HUMAN CARE.pdf
Files
(750.1 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:798fdcac64b0b0ebdfb2b53822eeac2c
|
750.1 kB | Preview Download |
Additional details
References
- 1. Topol EJ. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. New York: Basic Books, 2019.
- 2. Arksey H, O'Malley L. Scoping studies: Towards a methodological framework. Int J Soc Res Methodol, 2005; 8(1): 19-32.
- 3. Levac D, Colquhoun H, O'Brien KK. Scoping studies: Advancing the methodology. Implement Sci, 2010; 5: 69. doi:10.1186/1748-5908-5-69.
- 4. Mittelstadt BD, Allo P, Taddeo M, Wachter S, Floridi L. The ethics of algorithms: Mapping the debate. Big Data & Soc., 2016; 3(2): 1-21. doi:10.1177/2053951716679679.
- 5. Carayon P, Hundt AS, Karsh BT, et al. Work system design for patient safety: The SEIPS model. BMJ Qual Saf, 2020; 29(10): 809-820. doi:10.1136/bmjqs-2019-009924.
- 6. Obermeyer Z, Powers B, Vogeli C, Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of populations. Science, 2019; 366(6464): 447-453. doi:10.1126/science.aax2342.
- 7. American Nurses Association. The Ethical Use of Artificial Intelligence in Nursing Practice: Position Statement. 2022. Available from: https://www.nursingworld.org/ (accessed YYYY-MM-DD).
- 8. Mandel JC, Kreda DA, Mandl KD, Kohane IS, Ramoni RB. SMART on FHIR: A standards-based, interoperable apps platform for EHRs. N Engl J Med, 2016; 375(19): 1905-1907. (Add if cited in text.)
- 9. Van Calster B, McLernon DJ, van Smeden M, et al. Calibration: The Achilles heel of predictive analytics. BMC Med., 2019; 17: 230. (Add if cited.)
- 10. Vickers AJ, Elkin EB. Decision curve analysis: A novel method for evaluating prediction models. Med Decis Making, 2006; 26(6): 565-574. (Add if cited.)
- 11. Held V. The Ethics of Care: Personal, Political, and Global. Oxford: Oxford University Press; 2006.
- 12. "Navigating ethical considerations in the use of artificial intelligence in nursing." Nurs Outlook, 2024; 72(4): 289-296. doi:10.1016/j.outlook.2024.10.012.
- 13. Wei Q, Pan S, Liu X, et al. The integration of AI in nursing: Current applications, limitations, and future directions. Front Med, 2024; 12: 1545420.
- 14. Beauchamp TL, Childress JF. Principles of Biomedical Ethics. 8th ed. New York: Oxford University Press, 2019.
- 15. El Arab RA, Al Moosa OA, Abuadas FH, Somerville J. The role of AI in nursing education and practice: Umbrella review. J Med Internet Res., 2025; 27: e69881. (Verify details.)