Stud Health Technol Inform. 2025 May 15;327:1295-1296. doi: 10.3233/SHTI250607.
ABSTRACT
The KIADEKU project combines datascience and the clinical expertise of wound experts to develop and evaluate an AI-application for incontinence-associated-dermatitis (IAD) and pressure ulcer (PU) wound care. The evaluation study is a controlled, non-randomized clinical trial that investigates the effects of the AI-based system on wound care time, guideline adherence and the task load of the nurse, using a pre-post design with two data collection periods. We observe nurses providing wound care for PU and IAD in the control group according to the standard and in the intervention group using the developed AI-based app. We analyze the data using linear regression including further covariates (professional experience of the nurse, general load of the shift and severity of the wound). As a further outcome, we determine the accuracy and the usability of the AI-based digital system and the standard clinical documentation systems. We expect the study to support nurses in wound care and to promote the use of AI in nursing.
PMID:40380711 | DOI:10.3233/SHTI250607
