RecruitingNot ApplicableNCT07779395

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

Determination of Pressure Injury and İntegration Into Nursing Care Using Artificial İntelligence


Sponsor

Ankara Yildirim Beyazıt University

Enrollment

174 participants

Start Date

Mar 1, 2026

Study Type

INTERVENTIONAL

Conditions

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.


Eligibility

Min Age: 18 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying PRESS AI-Supported Nursing Care for people with pressure injury. The study is currently recruiting participants at 1 location. People eligible for this study include aged 18 Years and older.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

OTHERPRESS 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)

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NCT07779395


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