Development of a web-app using AI for staging and risk prediction of pressure injuries: Usability evaluation and clinical decision support in nursing practice

Abstract

Digital health and artificial intelligence (AI) are changing the way we care for wounds, especially in managing pressure injuries. While these new tools are very promising, they can only be successful if healthcare professionals find them easy to use in their daily routine. This thesis evaluates the usability of a new AI web application designed to help nurses stage and predict the risk of pressure injuries. For this study, 28 nurses used the application and then completed the Post-Study System Usability Questionnaire (PSSUQ-GR). We analyzed their feedback on three main areas: how well the system works, how clear the information is, and how friendly the interface feels. The results showed an overall usability score of 1.84 (on a scale where 1 is the best and 7 is the worst). This score shows that the nurses were very satisfied with the application. Also, the high reliability of the results (Cronbach’s Alpha > 0.94) confirms that the feedback was consistent and accurate. In conclusion, the study shows that nurses find the AI tool clear, fast, and easy to use, regardless of their age or tech experience. This positive reaction is very important for the future of digital health. It shows that when AI tools are designed with the user in mind, they can truly support clinical decisions and improve patient care.