Condition: The Study Focuses on Skin Assessment and PI Staging in ICU Patients · Sponsor: King Faisal Specialist Hospital & Research Center
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
This description comes directly from the study's public registry record.
Dr. Jennifer De Beer, PhD · +966559232671 · debeerj@kfshrc.edu.sa
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| King Faisal Specialist Hospital and Research Center- Jeddah | Jeddah, Mecca Region, Saudi Arabia | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07318571