Artificial Intelligence-Supported Pressure Injury Prevention and Care in Intensive Care Patients

This study evaluates the effect of an artificial intelligence-supported mobile application, PRESS AI, on pressure injury prevention and nursing care in adult intensive care patients. The application supports nurses in pressure injury risk assessment, wound assessment and staging, and selection of appropriate prevention and care interventions. The study compares the incidence of hospital-acquired pressure injuries before and after the implementation of PRESS AI. During the pre-intervention period, patients receive routine pressure injury prevention and nursing care. During the intervention period, nurses use PRESS AI together with an integrated pressure injury prevention and care algorithm to support clinical assessment and care planning.

Inclusion Criteria: * Aged 18 years or older. * Hospitalized in the Anesthesiology and Reanimation Intensive Care Unit of Ankara University Ibni Sina Research and Application Hospital during the pre-intervention or intervention period. * Written informed consent provided by the patient or, when the patient lacks decision-making capacity, by the patient's legally authorized representative. Exclusion Criteria: * Refusal to participate by the patient or legally authorized representative, or withdrawal of previously provided consent. * Missing essential follow-up data required to assess the development of pressure injuries.