Artificial Intelligence in Perioperative Nursing
Evolution of Artificial Intelligence in Perioperative Nursing: A Mixed-Methods Study of Nurses' Perspectives and Future Directions
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Mohamed Fakhry Ahmed Salem, PhD
- Phone Number: +201286038014
- Email: Mohamed.Fakhry@alexu.edu.eg
Study Locations
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-
-
Alexandria, Egypt, 21511
- Faculty of Nursing, Alexandria University
-
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Alexandria Governorate
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Alexandria, Alexandria Governorate, Egypt, 21511
- Faculty of Nursing, Alexandria University
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
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:
-
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Surgical Ward and Operating Room Nurses
Registered nurses working in operating rooms and Surgical Ward
|
No interventions (observational study)
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Perception of Artificial Intelligence (SHAIP Score)
Time Frame: At baseline survey assessment
|
Assessment of nurses' perception of AI professional impact and preparedness
|
At baseline survey assessment
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Usability of AI Systems (SUS Score)
Time Frame: At baseline survey assessment
|
Perceived usability of AI systems in clinical practice
|
At baseline survey assessment
|
|
Attitudes Toward AI (AIASN Score)
Time Frame: At baseline survey assessment
|
Nurses' attitudes toward AI integration across care, organization, ethics, and readiness domains
|
At baseline survey assessment
|
|
Qualitative Themes on AI Use
Time Frame: At baseline survey assessment
|
Emerging themes from open ended questions regarding AI benefits, challenges, and future expectations
|
At baseline survey assessment
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Mohamed Fakhry Ahmed Salem, PHD, Alexandria University
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- AU-20-10-475
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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