AI-Assisted Skin Assessment for Pressure Injury Prevention in Critical Care Nurses
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorKing Faisal Specialist Hospital & Research Center
About this trial
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
Eligibility criteria
Qualifiers
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)
Disqualifiers
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.
Trial design
Treatments tested in this trial
- ChatGPT Skin Assessment
Treatment groups
90 Participants
are divided into 2 treatment groupsSponsors and collaborators
Source ClinicalTrials.gov