Nursing-centered development of an AI-based decision support system in pressure ulcer and incontinence-associated dermatitis management - a mixed methods study.

Journal: BMC nursing
Published Date:

Abstract

BACKGROUND: Differentiating between stage 1 or 2 pressure ulcer/pressure injury (PU/PI) and incontinence-associated dermatitis (IAD) poses a significant challenge for healthcare professionals, due to their visual similarity. Incorrect assessments may trigger inappropriate interventions, potentially resulting in delayed treatment. KIADEKU is a multi-center research project aimed at supporting the assessment and documentation of PU/PI and IAD, as well as the implementation of evidence-based care through an AI-based application in nursing care. This paper investigates how to integrate evidence from nursing science and clinical practice into the development of the proposed AI system.

Authors

  • Khalid Majjouti
    Department of Nursing Development and Nursing Research, University Hospital Essen, Essen, Germany. khalid.majjouti@uk-essen.de.
  • Vanessa Priester
    Hospital of the Ludwig-Maximilians-University (LMU) Munich, Department of clinical nursing research and quality management, Munich, Germany.
  • Michaela Tapp-Herrenbrueck
    Department of Nursing Development and Nursing Research, University Hospital Essen, Essen, Germany.
  • Alexander Brehmer
    Institute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), Essen, Germany.
  • Hannah Pinnekamp
    Hospital of the Ludwig-Maximilians-University (LMU) Munich, Department of clinical nursing research and quality management, Munich, Germany.
  • Michael Aleithe
    sciendis GmbH, Leipzig, Germany.
  • Uli Fischer
    Hospital of the Ludwig-Maximilians-University (LMU) Munich, Germany.
  • Jens Kleesiek
    AG Computational Radiology, Abteilung Radiologie, Deutsches Krebsforschungszentrum (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Deutschland. j.kleesiek@dkfz-heidelberg.de.
  • Bernadette Hosters
    Stabsstelle Entwicklung und Forschung Pflege, Universitätsmedizin Essen, Essen, Deutschland.

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