Artificial Intelligence-Supported Pressure Injury Prevention and Care in Intensive Care Patients (PRESS AI)

Ankara Yildirim Beyazıt University

Status: Enrolling

Conditions: Pressure Injury

Treatments: Other: PRESS AI-Supported Nursing Care

Study type: Interventional

Funder types: Other

Identifiers

NCT07779395

10/1055

Details and patient eligibility

About

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.

Full description

This interventional before-and-after study is conducted in the Anesthesiology and Reanimation Intensive Care Unit of Ankara University Ibni Sina Research and Application Hospital. Adult patients meeting the eligibility criteria are included during the pre-intervention and intervention periods.

The pre-intervention period is conducted from March 1, 2026, to May 31, 2026. During this period, pressure injury risk assessment, skin assessment, prevention, and nursing care are performed according to routine clinical practice. PRESS AI is not used during this period.

Following a training and implementation period in June 2026, PRESS AI is introduced into clinical practice. The intervention period is conducted from July 1, 2026, to September 30, 2026. PRESS AI incorporates Braden Scale risk assessment, skin and wound assessment, artificial intelligence-supported image analysis for pressure injury staging, and a pressure injury prevention and care algorithm to support nursing care planning.

The artificial intelligence-generated staging recommendation is used as clinical decision support and does not replace the nurse's clinical judgment. The final pressure injury stage is determined by the nurse. Patients are followed daily for the development of new pressure injuries during their intensive care stay. The incidence of hospital-acquired pressure injuries during the pre-intervention and intervention periods is compared to evaluate the effectiveness of the PRESS AI-supported approach.

Enrollment: 174 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

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.

Trial design

Primary purpose: Prevention

Allocation: Non-Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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174 participants in 2 patient groups

Routine Nursing Care

No Intervention group

Description:

Participants in this arm receive routine pressure injury prevention and nursing care according to standard clinical practice. Pressure injury risk and skin assessments are performed using routine clinical procedures. The PRESS AI mobile application and its integrated pressure injury prevention and care algorithm are not used in this arm.

PRESS AI-Supported Nursing Care

Experimental group

Description:

Participants in this arm receive pressure injury prevention and nursing care supported by the PRESS AI mobile application and its integrated pressure injury prevention and care algorithm. PRESS AI supports pressure injury risk assessment, skin and wound assessment, artificial intelligence-assisted pressure injury staging, and planning of prevention and care interventions. The final pressure injury staging decision is made by the nurse based on clinical assessment.

Treatment:

Other: PRESS AI-Supported Nursing Care