Artificial Intelligence in Perioperative Nursing
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorAlexandria University
About this trial
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.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Licensed registered nurses
Minimum 6 months of perioperative experience
Currently working in surgical wards or operating rooms
Direct involvement in patient care
Disqualifiers
None
Trial population
The study population includes registered nurses working in perioperative settings (surgical wards and operating rooms)
Trial design
Design model
Other
Time perspective
Cross-sectional
Treatments tested in this trial
No interventions (observational study)
Other interventionNo interventions (observational study)
Treatment groups
150 Participants
are divided into 1 treatment groupGroup A: Surgical Ward and Operating Room Nurses1 intervention
Trial outcomes
Primary outcomes
1
Perception of Artificial Intelligence (SHAIP Score)
Assessment of nurses' perception of AI professional impact and preparedness
Time frame
At baseline survey assessmentSecondary outcomes
1
Usability of AI Systems (SUS Score)
Perceived usability of AI systems in clinical practice
Time frame
At baseline survey assessment2
Attitudes Toward AI (AIASN Score)
Nurses' attitudes toward AI integration across care, organization, ethics, and readiness domains
Time frame
At baseline survey assessment3
Qualitative Themes on AI Use
Emerging themes from open ended questions regarding AI benefits, challenges, and future expectations
Time frame
At baseline survey assessmentSponsors and contacts
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Source ClinicalTrials.gov