Artificial Intelligence (AI), Nursing Informatics, Perioperative Nursing, Surgical Care
Conditions
Keywords
Artificial Intelligence, Perioperative Nursing, Operating Room
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.
Interventions
OTHERNo interventions (observational study)
No interventions (observational study)
Sponsors
Alexandria University
Study design
Observational model
OTHER
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
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
\-
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Perception of Artificial Intelligence (SHAIP Score) | At baseline survey assessment | Assessment of nurses' perception of AI professional impact and preparedness |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Usability of AI Systems (SUS Score) | At baseline survey assessment | Perceived usability of AI systems in clinical practice |
| Attitudes Toward AI (AIASN Score) | At baseline survey assessment | Nurses' attitudes toward AI integration across care, organization, ethics, and readiness domains |
| Qualitative Themes on AI Use | At baseline survey assessment | Emerging themes from open ended questions regarding AI benefits, challenges, and future expectations |
Countries
Egypt
Contacts
PRINCIPAL_INVESTIGATORMohamed Fakhry Ahmed Salem, PHD
Alexandria University
Outcome results
None listed