Artificial intelligence attitudes and nursing values: Ethical sensitivity gap - Scorecard - 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 Scorecard: Nurses’ Views on Artificial Intelligence and Professional Values: A Gap in Ethical Sensitivity

At a Glance

CategoryDetail
ConditionSurgical nurses’ attitudes toward AI, ethical sensitivity, and professional nursing values
Key MechanismsThe article discusses AI applications in decision-making, care planning, monitoring, and data analytics, alongside concerns about privacy, accountability, humanistic care, and professional identity.
Target PopulationSurgical nurses
Care SettingSurgical nursing, including operating-room practice

Key Highlights

  • The study examines relationships among surgical nurses’ attitudes toward AI, ethical sensitivity, and professional nursing values.
  • Professional nursing values are operationalized across caring, professionalism, activism, justice, and loyalty.
  • Ethical sensitivity refers to recognizing ethical aspects of care situations and moral conflict in clinical decision-making.
  • The article presents mediation and moderation as possible relationships to investigate; the supplied excerpt does not report study results.
  • The article discusses potential AI benefits alongside concerns about human touch, empathy, privacy, accountability, and professional identity.

Guideline-Based Recommendations

Diagnosis

    Management

    • The article states that AI should be framed as a supportive tool rather than a threat to nursing.
    • The article identifies structured preparation, ethical guidance, and organizational support as requirements for AI implementation.

    Monitoring & Follow-up

      Risks

      • The article identifies data privacy, patient confidentiality, and accountability for algorithm-based decisions as concerns.
      • The article describes reduced human touch, emotional distance, depersonalized care, professional alienation, burnout, and ethical fatigue as potential concerns.

      Patient & Prescribing Data

      No patient population or prescribing data are reported in the provided article text.

      Not applicable; the provided text describes a study of surgical nurses’ views and professional values, not a treatment.

      Clinical Best Practices

      • The article calls for nursing education to include structured AI-focused content and technical, ethical, and emotionally supportive preparation.
      • The article describes empathy, compassion, individualized care, and genuine nurse–patient relationships as foundations of humanistic nursing.

      Related Resources & Content

      Original Source(s)

      Related Content