Artificial Intelligence (AI)NCT07601373
Artificial Intelligence in Perioperative Nursing
An observational study of Artificial Intelligence (AI) and Perioperative Nursing, run by Alexandria University at 2 sites in Egypt.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Artificial Intelligence (AI), Perioperative Nursing, Surgical Care
- How many people
- 183 participants
- Where
- 2 sitesEgypt
- Study dates
- 19 May 2026to 30 Jun 2026
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: The study population includes registered nurses working in perioperative settings (surgical wards and operating rooms)
Who may be able to join
- Licensed registered nurses
- Minimum 6 months of perioperative experience
- Currently working in surgical wards or operating rooms
- Direct involvement in patient care
Who cannot join
- -
Trial locations and contacts
2 sites in 1 country.
Egypt2 sites
Faculty of Nursing, Alexandria University
Alexandria, Alexandria Governorate, 21511
Faculty of Nursing, Alexandria University
Alexandria, 21511
About this study
Official title: Evolution of Artificial Intelligence in Perioperative Nursing: A Mixed-Methods Study of Nurses' Perspectives and Future Directions
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.
- Being tested
- No interventions (observational study)
- Keywords
- Artificial Intelligence, Perioperative Nursing, Operating Room
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
No interventions (observational study)Other
No interventions (observational study)
| Study group | Role | What they receive |
|---|---|---|
| Surgical Ward and Operating Room Nurses | Registered nurses working in operating rooms and Surgical Ward Receives: Other: No interventions (observational study) |
What is being measured
The primary outcome is the main question the study is designed to answer.
Perception of Artificial Intelligence (SHAIP Score)
Assessment of nurses' perception of AI professional impact and preparedness
Measured: At baseline survey assessment
Secondary outcomes (3)
Usability of AI Systems (SUS Score)
Perceived usability of AI systems in clinical practice
Measured: At baseline survey assessment
Attitudes Toward AI (AIASN Score)
Nurses' attitudes toward AI integration across care, organization, ethics, and readiness domains
Measured: At baseline survey assessment
Qualitative Themes on AI Use
Emerging themes from open ended questions regarding AI benefits, challenges, and future expectations
Measured: At baseline survey assessment
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted22 May 2026
- Study start19 May 2026
- Primary completion21 Jun 2026
- Study completion30 Jun 2026
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Artificial Intelligence (AI)Studies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Cross-sectional
- Enrolment
- 183 participants (actual)
Sponsor and investigators
- Lead sponsor
- Alexandria University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Mohamed Fakhry Ahmed Salem, Alexandria University
- Investigators
- Mohamed Fakhry Ahmed Salem, PHD, Principal investigator, Alexandria University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07601373
- Sponsor's protocol ID
- AU-20-10-475
- Status last verified
- May 2026
- First submitted
- 9 May 2026
- Last updated
- 11 Aug 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 11 Aug 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Evolution of Artificial Intelligence in Perioperative Nursing: A Mixed-Methods Study of Nurses' Perspectives and Future Directions
- ClinicalTrials.gov ID
- NCT07601373
- Acronym / sponsor ID
- AU-20-10-475
- Keywords
- Artificial Intelligence, Perioperative Nursing, Operating Room
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 183 participants (actual)
- Lead sponsor
- Alexandria UniversityUniversity, hospital or other
- Study start
- 19 May 2026 (actual)
- Primary completion
- 21 Jun 2026 (actual)
- Study completion
- 30 Jun 2026 (actual)
- First posted
- 22 May 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Observational model
- Other
- Time perspective
- Cross-sectional
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Surgical Ward and Operating Room Nurses | – | Other: No interventions (observational study)Registered nurses working in operating rooms and Surgical Ward |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- The study population includes registered nurses working in perioperative settings (surgical wards and operating rooms)
Key inclusion criteria (4 listed)
- Licensed registered nurses
- Minimum 6 months of perioperative experience
- Currently working in surgical wards or operating rooms
- Direct involvement in patient care
Key exclusion criteria (1 listed)
- -
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| No interventions (observational study)No interventions (observational study) | Other | Surgical Ward and Operating Room Nurses |
Primary outcome
Perception of Artificial Intelligence (SHAIP Score)
Time frame: At baseline survey assessment
Assessment of nurses' perception of AI professional impact and preparedness
3 secondary outcomes
Usability of AI Systems (SUS Score)
Time frame: At baseline survey assessment
Attitudes Toward AI (AIASN Score)
Time frame: At baseline survey assessment
Qualitative Themes on AI Use
Time frame: At baseline survey assessment
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 11 Aug 2026.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Mohamed Fakhry Ahmed Salem, PHD principal investigator
Alexandria University
2 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Artificial Intelligence (AI) and Perioperative Nursing, run by Alexandria University at 2 sites in Egypt.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 11 Aug 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 2 sites in Egypt. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Perception of Artificial Intelligence (SHAIP Score) (time frame: At baseline survey assessment). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 11 Aug 2026.