Artificial Intelligence in Perioperative Nursing

NCT07601373 | Not Yet Recruiting

• 1 other identifier: IRB00013620AISurgicalcare
• Study Type: observational
• Target: 150
• Locations: 1 country
• Sites: 1

Brief Summary

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.

Conditions

Artificial Intelligence (AI); Perioperative Nursing; Surgical Care; Nursing Informatics

Keywords

Artificial Intelligence; Perioperative Nursing; Operating Room

Outcome Measures

Primary Outcomes (1)

• Perception of Artificial Intelligence (SHAIP Score)

  Assessment of nurses' perception of AI professional impact and preparedness

  At baseline survey assessment

Secondary Outcomes (3)

• Usability of AI Systems (SUS Score)

  At baseline survey assessment

• Attitudes Toward AI (AIASN Score)

  At baseline survey assessment

• Qualitative Themes on AI Use

  At baseline survey assessment

Study Arms (1)

Surgical Ward and Operating Room Nurses

Registered nurses working in operating rooms and Surgical Ward

Other: No interventions (observational study)

Interventions

No interventions (observational study) OTHER

No interventions (observational study)

Surgical Ward and Operating Room Nurses

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

The study population includes registered nurses working in perioperative settings (surgical wards and operating rooms)

You may qualify if:

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

Sponsors & Collaborators

• Alexandria University: lead

Study Sites (1)

Faculty of Nursing, Alexandria University

Alexandria, 21511, Egypt

Location

MeSH Terms

Interventions

Observation

Intervention Hierarchy (Ancestors)

Methods; Investigative Techniques

Study Officials

• Mohamed Fakhry Ahmed Salem, PHD

  Alexandria University

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Mohamed Fakhry Ahmed Salem, PhD

CONTACT

+201286038014; Mohamed.Fakhry@alexu.edu.eg

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Lecturer of Medical-Surgical Nursing

Study Record Dates

• First Submitted: May 9, 2026
• First Posted: May 22, 2026
• Study Start (Estimated): May 30, 2026
• Primary Completion (Estimated): June 1, 2026
• Study Completion (Estimated): June 1, 2026
• Last Updated: May 22, 2026

Record last verified: 2026-05

Data Sharing

• IPD Sharing: Will not share

Locations

EG (1)