NCT07318571

Brief Summary

The goal of this clinical trial is to learn whether an artificial intelligence (AI)-assisted skin assessment tool can improve the accuracy of pressure-injury staging in critical-care nurses. The study also aims to understand whether the AI tool increases nurses' knowledge and confidence in performing skin assessments. The main questions it aims to answer are: Does AI-assisted assessment improve the accuracy of pressure-injury staging compared with standard visual assessment? Does the use of AI improve nurses' knowledge and confidence related to skin assessment and pressure-injury staging? Researchers will compare nurses who use an AI-assisted mobile application with nurses who perform standard manual assessments to see whether the AI tool improves staging accuracy and supports early identification of pressure injuries. Participants will: Complete brief questionnaires about their knowledge and confidence before and after training Perform skin assessments on their assigned ICU patients using either standard methods or the AI tool. Have their assessments compared with those of a blinded wound-care specialist, who will determine the most accurate staging

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
90

participants targeted

Target at P50-P75 for not_applicable

Timeline
0mo left

Started Nov 2025

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress96%
Nov 2025May 2026

First Submitted

Initial submission to the registry

November 24, 2025

Completed
Same day until next milestone

Study Start

First participant enrolled

November 24, 2025

Completed
1 month until next milestone

First Posted

Study publicly available on registry

January 6, 2026

Completed
2 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 28, 2026

Completed
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

May 16, 2026

Expected
Last Updated

January 6, 2026

Status Verified

November 1, 2025

Enrollment Period

3 months

First QC Date

November 24, 2025

Last Update Submit

December 18, 2025

Conditions

Keywords

Artificial intelligencecritical careintensive carenursesPressure injuries

Outcome Measures

Primary Outcomes (1)

  • Agreement Between Nurse and Expert Skin Assessment and Pressure Injury Staging Using NPIAP Criteria

    The primary outcome explicitly measures agreement between nurse-assigned and expert-assigned pressure injury stages using the National Pressure Injury Advisory Panel (NPIAP) staging criteria, rather than stating a study objective. Agreement will be quantified using Cohen's Kappa statistic, and accuracy will be summarized as the percentage of nurse-assigned stages that exactly match expert-assigned stages. Agreement analyses will be conducted separately for manual nurse assessments and AI-assisted nurse assessments, allowing clear and reportable comparison between study groups. Agreement outcomes will be summarized across individual assessment domains, including erythema, discoloration, edema, temperature, and overall pressure injury staging, using quantitative agreement metrics. The primary outcome will be assessed from Day 1 through 6 months.

    Day 1 through 6 months

Secondary Outcomes (2)

  • Knowledge- Change From Baseline in Nurse Knowledge Score on the Pressure Ulcer Prevention Knowledge Assessment Instrument (PUPKAI)

    Day 1 (Baseline) and Day 1 (Immediately Post-intervention)

  • Change From Baseline in Nurse Confidence Score on the Skin Assessment Confidence Scale (SACS)

    Day 1 (Baseline) and Day 1 (Immediately Post-intervention)

Study Arms (2)

Standard Assessment

NO INTERVENTION

Standard assessment

ChatGPT-Assisted Skin Assessmen

OTHER

Nurses will use ChatGPT-based AI support to assist in skin assessment and staging.

Other: ChatGPT Skin Assessment

Interventions

ChatGPT Skin Assessment

ChatGPT-Assisted Skin Assessmen

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Nurses working within the organisation for at least 6 months
  • Nurses involved in direct patient care for over 50% of their work time.
  • Skin assessments and staging for patients at risk for developing pressure injuries (Using the Braden Scoring system).
  • Adult Patients (18 years and older)
  • Patients who are currently admitted to the ICU and are receiving critical care treatment.
  • No current severe skin conditions patients without active severe dermatological conditions (e.g., large open wounds, severe rashes) that would interfere with the AI-based skin assessment process.

You may not qualify if:

  • Nurses working within the organization for less than 6 months
  • Nurses involved in direct patient care for less than 50% of their work time
  • End-of-Life Care or Terminal Illness- patients receiving end-of-life care or those with a terminal diagnosis, where the prevention of pressure injuries may not be a priority and where participation in the study may not align with their care goals.
  • Severe or active dermatological conditions- patients with active skin conditions such as severe rashes, burns, or other dermatological issues that could interfere with accurate skin assessments by AI or confound the study results.
  • Recent Skin Grafts or Advanced Wound Care- patients who have recently undergone skin grafts or those receiving complex wound care treatments that are outside the scope of typical pressure injury prevention practices.
  • Inability to Maintain Required Positioning for Skin Assessment- patients who are physically unable to remain in the necessary position for the skin assessments, either due to severe mobility restrictions or critical medical conditions.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

King Faisal Specialist Hospital and Research Center- Jeddah

Jeddah, Mecca Region, 21423, Saudi Arabia

RECRUITING

MeSH Terms

Conditions

Pressure Ulcer

Condition Hierarchy (Ancestors)

Skin UlcerSkin DiseasesSkin and Connective Tissue Diseases

Central Study Contacts

Dr. Jennifer De Beer, PhD

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Masking Details
A senior wound-care specialist, blinded to allocation, will independently review anonymized images and bedside assessments. Each assessment will be coded, and the expert's determinations will serve as the gold standard for inter-rater reliability testing
Purpose
PREVENTION
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Nursing Research Senior Specialist

Study Record Dates

First Submitted

November 24, 2025

First Posted

January 6, 2026

Study Start

November 24, 2025

Primary Completion

February 28, 2026

Study Completion (Estimated)

May 16, 2026

Last Updated

January 6, 2026

Record last verified: 2025-11

Data Sharing

IPD Sharing
Will not share

Individual participant data (IPD) will not be shared publicly because the dataset includes clinical images and sensitive nursing performance data collected within a single hospital site. These data could potentially identify participants, and institutional policy at King Faisal Specialist Hospital and Research Centre restricts the external sharing of raw clinical data. Aggregated and de-identified summary results will be available upon reasonable request following publication of study findings.

Locations