Evaluating AI-Assisted Skin Assessment to Improve Pressure Injury Detection and Staging by Critical Care Nurses

What this Trial Is About

Pressure injuries are a common and preventable problem among critically ill patients, especially those in intensive care units ICUs due to immobility and complex medical needs. This trial is studying whether an artificial intelligence AI-assisted skin assessment tool can improve the accuracy of pressure injury staging by critical-care nurses and whether it can increase nurses knowledge and confidence in skin assessment. Researchers aim to compare AI-assisted assessments with standard manual assessments to support earlier and more accurate detection of pressure injuries. The trial involves two groups of nurses one using a ChatGPT-based AI mobile application to assist with skin assessment and staging, and the other using traditional visual and physical examination methods. All nurses receive education on pressure injury prevention and staging, with the AI group receiving additional training on capturing standardized photos. A blinded wound-care specialist will review all assessments and images to serve as the reference for accuracy. Participants will complete questionnaires about their knowledge and confidence before and after training. Nurses will perform skin assessments on ICU patients using their assigned method, with results compared to expert evaluations. The study will measure agreement between nurse and expert staging over six months, track changes in nurses knowledge and confidence, and assess how feasible and acceptable it is to use the AI tool in ICU care workflows.

AI-Assisted Skin Assessment for Pressure Injury Prevention in Critical Care Nurses