AI-Assisted Skin Assessment for Pressure Injury Prevention in Critical Care Nurses
Recruiting
N/AInterventional Study
The Study Focuses on Skin Assessment and PI Staging in ICU Patients
No Placebo Group
Every participant receives an active treatment — no one gets a placebo.
Ready to participate?
Review the details below, then apply to join this clinical trial.
At a Glance
Age
18 and older
Sex
Any
Study type
Interventional
Purpose
Prevention
Participants needed
90 (estimated)
Sponsor
King Faisal Specialist Hospital & Research Center · Other
Who this trial is looking for
This trial is looking for ICU nurses to test a new AI tool that helps check for skin injuries. Participating involves using either standard methods or an AI app to assess patients' skin health.
Are You a Good Fit for This Trial?
You may be able to join if
I have worked as a nurse for at least 6 months.
I spend more than 50% of my work time caring directly for patients.
I assess skin for patients at risk of pressure injuries.
I care for adult patients aged 18 or older.
I work with patients currently in the ICU.
You may not be able to join if
I have worked as a nurse for less than 6 months.
I spend less than 50% of my work time directly caring for patients.
I am caring for patients receiving end-of-life care.
I am caring for patients with severe skin problems.
I am caring for patients who have had recent skin grafts.
I am caring for patients who cannot stay in position for skin assessments.
Summarized in plain language from this trial's official eligibility criteria.
The full criteria are further down this page — only the research team can
confirm whether you qualify.
Think this trial could be right for you?
Answer a few quick questions to see if you may meet the eligibility requirements.
The goal of this clinical trial is to learn whether an artificial intelligence (AI)-assisted skin assessment tool can improve the accuracy of pressure-injury staging in critical-care nurses. The study also aims to understand whether the AI tool increases nurses' knowledge and confidence in performing skin assessments. The main questions it aims to answer are:
Does AI-assisted assessment improve t…
The goal of this clinical trial is to learn whether an artificial intelligence (AI)-assisted skin assessment tool can improve the accuracy of pressure-injury staging in critical-care nurses. The study also aims to understand whether the AI tool increases nurses' knowledge and confidence in performing skin assessments. The main questions it aims to answer are:
Does AI-assisted assessment improve the accuracy of pressure-injury staging compared with standard visual assessment?
Does the use of AI improve nurses' knowledge and confidence related to skin assessment and pressure-injury staging?
Researchers will compare nurses who use an AI-assisted mobile application with nurses who perform standard manual assessments to see whether the AI tool improves staging accuracy and supports early identification of pressure injuries.
Participants will:
Complete brief questionnaires about their knowledge and confidence before and after training
Perform skin assessments on their assigned ICU patients using either standard methods or the AI tool.
Have their assessments compared with those of a blinded wound-care specialist, who will determine the most accurate staging
Trial Locations
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State
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Status
Eligibility Criteria
Inclusion criteria
* Nurses working within the organisation for at least 6 months
* Nurses involved in direct patient care for over 50% of their work time.
* Skin assessments and staging for patients at risk for developing pressure injuries (Using the Braden Scoring system).
* Adult Patients (18 ye…
Inclusion criteria
* Nurses working within the organisation for at least 6 months
* Nurses involved in direct patient care for over 50% of their work time.
* Skin assessments and staging for patients at risk for developing pressure injuries (Using the Braden Scoring system).
* Adult Patients (18 years and older)
* Patients who are currently admitted to the ICU and are receiving critical care treatment.
* No current severe skin conditions patients without active severe dermatological conditions (e.g., large open wounds, severe rashes) that would interfere with the AI-based skin assessment process.
Exclusion criteria
* Nurses working within the organization for less than 6 months
* Nurses involved in direct patient care for less than 50% of their work time
* End-of-Life Care or Terminal Illness- patients receiving end-of-life care or those with a terminal diagnosis, where the prevention of pressure injuries may not be a priority and where participation in the study may not align with their care goals.
* Severe or active dermatological conditions- patients with active skin conditions such as severe rashes, burns, or other dermatological issues that could interfere with accurate skin assessments by AI or confound the study results.
* Recent Skin Grafts or Advanced Wound Care- patients who have recently undergone skin grafts or those receiving complex wound care treatments that are outside the scope of typical pressure injury prevention practices.
* Inability to Maintain Required Positioning for Skin Assessment- patients who are physically unable to remain in the necessary position for the skin assessments, either due to severe mobility restrictions or critical medical conditions.
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