Artificial Intelligence in Perioperative Nursing | NCT07601373

Studies
Artificial Intelligence in Perioperative Nursing

NCT07601373

Sponsor

Alexandria University

Status

Recruiting

Last Update Posted

Jun 5, 2026Actual

Enrollment

150Estimated

Phase

Not provided

Conditions

Artificial Intelligence (AI)
Perioperative Nursing
Surgical Care
Nursing Informatics

Interventions

No interventions (observational study)

Countries

Egypt

Protocol Section

Identification Module Status Module Sponsor/Collaborators Module Oversight Module Description Module Conditions Module Design Module Arms/Interventions Module Outcomes Module Eligibility Module Contacts/Locations Module References Module IPD Sharing Statement Module

Results Section

Participant Flow Module Baseline Characteristics Module Outcome Measures Module Adverse Events Module More Info Module

Annotation Section

Annotation Module

Document Section

Large Document Module

Derived Section

Miscellaneous Info Module Condition Browse Module Intervention Browse Module

Protocol Section

Identification Module

NCT ID

Results Section

No data available

No data is available for this block.

Annotation Section

No data available

No data is available for this block.

Document Section

No data available

No data is available for this block.

Derived Section

Miscellaneous Info Module

Version Holder

Status Module

Record Verification Date

May 2026

Overall Recruitment Status or Expanded Access Status

Recruiting

Last Known Status

Not provided

Delayed Posting

Not provided

Why Stopped

Not provided

Expanded Access Info

Start Date

May 30, 2026Actual

Primary Completion Date

Jun 2026Estimated

Completion Date

Jun 2026Estimated

First Submitted Date

May 9, 2026

First Submission Date that Met QC Criteria

May 15, 2026

First Posted Date

May 22, 2026Actual

Results Waived

Not provided

Results First Submitted Date

Not provided

Results First Submitted that Met QC Criteria

Not provided

Results First Posted Date

Not provided

Certification/Extension (aka Delayed Results) First Submitted Date

Not provided

Certification/Extension First Submitted that Passed QC Review

Not provided

Certification/Extension First Posted Date

Not provided

Last Update Submitted Date

Jun 4, 2026

Last Update Posted Date

Jun 5, 2026Actual

Sponsor/Collaborators Module

Responsible Party, by Official Title

Mohamed Fakhry Ahmed Salem, Lecturer of Medical-Surgical Nursing, Alexandria UniversityPrincipal Investigator

Lead Sponsor

Alexandria UniversityOTHER

Collaborators

Not provided

Oversight Module

Has Data Monitoring Committee (DMC)

Is FDA Regulated Drug

Is FDA Regulated Device

Is Unapproved Device

Not provided

Pediatric Postmarket Surveillance of a Device Product

Not provided

Product Exported from US

Not provided

FDAAA801 Violation

Not provided

Description Module

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.

Detailed Description

Not provided

Design Module

Study Type

Observational

Number of References to an Expanded Access Study

Not provided

Expanded Access Types

Not provided

Patient Registry

Target Follow-Up Duration

Not provided

Phases

Not provided

Interventional Study Design

Allocation

Not provided

Intervention Model

Biospecimen

No data available

No data is available for this block.

Enrollment

150Estimated

Arms/Interventions Module

Arm Groups

Label	Type	Description	Intervention Names
Surgical Ward and Operating Room Nurses		Registered nurses working in operating rooms and Surgical Ward	Other: No interventions (observational study)

Interventions

Name	Type	Description	Arm Group Labels	Other Names
No interventions (observational study)	Other	No interventions (observational study)	Surgical Ward and Operating Room Nurses

Outcomes Module

Primary Outcomes

Measure	Description	Time Frame
Perception of Artificial Intelligence (SHAIP Score)	Assessment of nurses' perception of AI professional impact and preparedness	At baseline survey assessment

Secondary Outcomes

Measure	Description	Time Frame
Usability of AI Systems (SUS Score)	Perceived usability of AI systems in clinical practice	At baseline survey assessment
Attitudes Toward AI (AIASN Score)	Nurses' attitudes toward AI integration across care, organization, ethics, and readiness domains

Other Outcomes

Not provided

Eligibility Module

Eligibility Criteria

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:

Accepts Healthy Volunteers

Yes

Sex

All

Sex/Gender Based

Not provided

Sex/Gender Description

Not provided

Minimum Age

18 Years

Maximum Age

Not provided

Standard Ages

AdultOlder Adult

Study Population

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

Sampling Method

Probability Sample

Contacts/Locations Module

Central Contacts

Name	Role	Phone	Extension	Email
Mohamed Fakhry Ahmed Salem, PhD	Contact	+201286038014		Mohamed.Fakhry@alexu.edu.eg

Overall Officials

Name	Affiliation	Role
Mohamed Fakhry Ahmed Salem, PHD	Alexandria University	Principal Investigator

Locations

Facility	Status	City	State	ZIP	Country	Contacts
Faculty of Nursing, Alexandria University	Recruiting	Alexandria	Alexandria Governorate	21511	Egypt

IPD Sharing Statement Module

Plan to Share IPD

Description

Not provided

Types

Not provided

Time Frame

Not provided

Access Criteria

Not provided

URL

Not provided

Intervention Browse Module

MeSH Terms

ID	Term
D019370	Observation

Ancestor Terms

ID	Term
D008722	Methods
D008919	Investigative Techniques

Browse Leaves

Not provided

Browse Branches

Not provided