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Real-World Deployment of a ML Pipeline for Pressure Wounds Prediction

Jérémie Despraz1, Snežana Nektarijević1,2, Laure Vancauwenberghe2

  • 1Biomedical Data Science Center, Lausanne University Hospital, Lausanne, CH.

Studies in Health Technology and Informatics
|May 17, 2025
PubMed

Hospital-acquired pressure injuries (HAPIs) are common complications that impact patient outcomes and strain healthcare resources. The Braden Scale is the standard tool for assessing HAPI risk, but it has limitations, including a high false-positive rate, potential oversight of subtle symptoms, and added workload for nurses. To address these issues, a fully automated AI clinical decision support system (CDSS) achieving 0.90 AUROC on retrospective data has been deployed.

Keywords:
CDSSHospital-acquired pressure injuriesMLOpsrisk assessment

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Multiple Pipe Systems01:21

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