User-Oriented Requirements for Artificial Intelligence-Based Clinical Decision Support Systems in Sepsis: Protocol for a Multimethod Research Project.

Journal: JMIR research protocols
PMID:

Abstract

BACKGROUND: Artificial intelligence (AI)-based clinical decision support systems (CDSS) have been developed for several diseases. However, despite the potential to improve the quality of care and thereby positively impact patient-relevant outcomes, the majority of AI-based CDSS have not been adopted in standard care. Possible reasons for this include barriers in the implementation and a nonuser-oriented development approach, resulting in reduced user acceptance.

Authors

  • Pascal Raszke
    Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany.
  • Godwin Denk Giebel
    Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany.
  • Carina Abels
    Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany.
  • Jürgen Wasem
    Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany.
  • Michael Adamzik
    Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum GmbH, Bochum, Germany.
  • Hartmuth Nowak
    Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Knappschaftskrankenhaus, Bochum, Ruhr-University Bochum, In der Schornau 23-25, 44892, Bochum, Germany.
  • Lars Palmowski
    Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum GmbH, Bochum, Germany.
  • Philipp Heinz
    Knappschaft Kliniken GmbH, Recklinghausen, Germany.
  • Silke Mreyen
    Knappschaft Kliniken GmbH, Recklinghausen, Germany.
  • Nina Timmesfeld
    Department of Medical Informatics, Biometry and Epidemiology, Ruhr University Bochum, Bochum, Germany.
  • Marianne Tokic
    Department of Medical Informatics, Biometry and Epidemiology, Ruhr University Bochum, Bochum, Germany.
  • Frank Martin Brunkhorst
    German Sepsis Society, Jena, Germany.
  • Nikola Blase
    Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany.