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NCT Number: NCT07601373

Artificial Intelligence in Perioperative Nursing

This mixed-methods study aims to assess current perspectives, attitudes, and preparedness of perioperative nurses regarding the integration of artificial intelligence (AI) in clinical practice. The study targets nurses working in surgical wards and operating rooms to explore AI utilization, perceived usability, professional impact, and readiness for future implementation. Quantitative and qualitative data will be collected concurrently and integrated to generate comprehensive insights into AI adoption and future directions in perioperative nursing.

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Key information

Conditions

Artificial Intelligence (AI) Nursing Informatics Perioperative Nursing Surgical Care

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Faculty of Nursing, Alexandria University, Alexandria, Alexandria Governorate, Egypt

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Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Licensed registered nurses
  • Minimum 6 months of perioperative experience
  • Currently working in surgical wards or operating rooms
  • Direct involvement in patient care

Exclusion criteria

-

Treatment and study plan

No interventions (observational study)

Other

No interventions (observational study)

Primary outcomes

  1. Perception of Artificial Intelligence (SHAIP Score)

    Time frame: At baseline survey assessment

    Assessment of nurses' perception of AI professional impact and preparedness

Secondary outcomes

  1. Usability of AI Systems (SUS Score)

    Time frame: At baseline survey assessment

    Perceived usability of AI systems in clinical practice

  2. Attitudes Toward AI (AIASN Score)

    Time frame: At baseline survey assessment

    Nurses' attitudes toward AI integration across care, organization, ethics, and readiness domains

  3. Qualitative Themes on AI Use

    Time frame: At baseline survey assessment

    Emerging themes from open ended questions regarding AI benefits, challenges, and future expectations

Study contacts

Contact information is provided by the study sponsor or research team.

Mohamed Fakhry Ahmed Salem, PhD

CONTACT

[email protected]

+201286038014

Sponsors and collaborators

Lead sponsor

Alexandria University

Other

Registry information

Official study title

Artificial Intelligence in Perioperative Nursing: A Mixed-Methods Study on Current Perspectives and Future Directions Among Surgical Ward and Operating Room Nurses.

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
May 22, 2026
Registry last updated
Jul 17, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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