Artificial intelligence attitudes and nursing values: Ethical sensitivity gap - Report - MDSpire
Coming Soon: Introducing MDSpire News. Learn more
Conexiant’s news site is now MDSpire News. Learn more

Nurses’ Views on Artificial Intelligence and Professional Values: A Gap in Ethical Sensitivity

  • By

  • Gizem Kubat Bakir

  • Nermin Ocaktan

  • October 9, 2026

Share

Clinical Report: Nurses’ Views on AI and Professional Values

Overview

The article frames AI in surgical nursing as both a source of potential operational benefits and a challenge to humanistic care, professional identity, and ethical practice. It describes an exploratory sequential mixed-methods study examining relationships among surgical nurses’ attitudes toward AI, ethical sensitivity, and professional nursing values; the supplied material does not report study results.

Background

AI-supported tools are being used in healthcare for decision support, care planning, monitoring, and data analysis, including in technologically intensive surgical settings. The source notes potential benefits such as improved time management, accuracy, and patient safety, alongside concerns about privacy, confidentiality, accountability, and the human connection in nursing. Professional nursing values in the study are defined through caring, professionalism, activism, justice, and loyalty. Ethical sensitivity is described as recognizing ethical aspects of care and moral conflict in clinical decisions.

Data Highlights

The supplied article excerpt describes the study design and constructs but provides no sample size, numerical results, or statistical estimates.

Key Findings

  • The study uses an exploratory sequential mixed-methods design to examine surgical nurses’ attitudes toward AI, ethical sensitivity, and professional nursing values.
  • The article identifies potential AI-related benefits in clinical decision-making, workload, patient monitoring, time management, accuracy, and traceability.
  • Concerns described include data privacy, patient confidentiality, accountability for algorithm-based decisions, and possible loss of human touch and individualized care.
  • Professional nursing values are operationalized as caring, professionalism, activism, justice, and loyalty.
  • The article states that nurses’ adaptation to AI depends partly on knowledge and technical competence, and that targeted educational interventions have been reported to improve knowledge and attitudes.
  • Related article titles supplied concern nursing students’ ethical awareness and AI attitudes, student knowledge and barriers to AI integration, and perceived data risks in AI-enabled nursing research; no findings from those articles are provided in the supplied context.

Clinical Implications

The source identifies structured preparation, ethical guidance, and organizational support as relevant to AI implementation in nursing, and describes education that addresses technical, ethical, and emotional dimensions. It does not provide study results or specific clinical recommendations in the supplied excerpt.

Conclusion

The supplied material presents AI in surgical nursing as a developing practice context involving both operational opportunities and ethical and humanistic concerns. The study’s stated aim is to examine how nurses’ AI attitudes relate to ethical sensitivity and professional values; its findings are not included here.

Related Resources & Content

  1. DIGITAL HEALTH — Ethical awareness and attitudes toward artificial intelligence among undergraduate nursing students in Palestine: A cross-sectional study
  2. DIGITAL HEALTH — Knowledge, attitudes, practices, and barriers toward artificial intelligence integration among nursing and health sciences students: A cross-sectional study
  3. DIGITAL HEALTH — Exploring perceptions of data risks in AI-enabled nursing research: A qualitative study
  4. aace endocrine ai — Can AI offer 'morally present' caregiving?
  5. Position Statement: Artificial Intelligence in Health Care - American Academy of Nursing
  6. Responsible Use of Artificial Intelligence in Health Care Certification Review Process Guide - The Joint Commission
  7. Coalition for Health AI (CHAI) Releases Comprehensive Governance Playbooks to Streamline AI Implementation for Health Systems
  8. ANA Position Statement: The Ethical Use of Artificial Intelligence in Nursing Practice
  9. Texas Board of Nursing - Practice - Position Statements
  10. Real-time surveillance system for patient deterioration: a pragmatic cluster-randomized controlled trial - PubMed
  11. Generative AI-enabled clinical decision support system in primary care: a pragmatic, cluster-randomized trial | Nature Medicine
  12. Nurses' knowledge, attitudes, literacy, anxiety, and readiness towards artificial intelligence in clinical practice: An international scoping review - ScienceDirect
  13. Mapping factors associated with nurses’ attitudes toward artificial intelligence: a scoping review
  14. Frontiers | Registered nurses’ experiences with generative artificial intelligence: a meta-synthesis of qualitative studies
  15. JMIR Nursing - Nurses’ Experiences Using AI in Clinical Practice: Systematic Review

Original Source(s)

Related Content