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Artificial Intelligence-Supported Pressure Injury Prevention and Care in Intensive Care Patients
Sponsor: Ankara Yildirim Beyazıt University
Summary
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.
Official title: Determination of Pressure Injury and İntegration Into Nursing Care Using Artificial İntelligence
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
174
Start Date
2026-03-01
Completion Date
2026-09-30
Last Updated
2026-08-21
Healthy Volunteers
No
Conditions
Interventions
PRESS AI-Supported Nursing Care
PRESS AI is an artificial intelligence-supported mobile clinical decision support application integrated with a pressure injury prevention and care algorithm. It supports nurses in Braden Scale risk assessment, skin and wound assessment, artificial intelligence-assisted pressure injury staging, and the planning and documentation of individualized pressure injury prevention and care interventions. Artificial intelligence-generated staging recommendations are used to support clinical decision-making and do not replace nurses' clinical judgment. The final pressure injury stage is determined by the nurse based on clinical assessment.
Locations (1)
Ankara University Ibni Sina Research and Application Hospital
Ankara, Ankara, Turkey (Türkiye)