An AI-Based Clinical Decision Support System for Antibiotic Therapy in Sepsis (KINBIOTICS): Use Case Analysis.

Journal: JMIR human factors
PMID: 40036494

Abstract

BACKGROUND: Antimicrobial resistances pose significant challenges in health care systems. Clinical decision support systems (CDSSs) represent a potential strategy for promoting a more targeted and guideline-based use of antibiotics. The integration of artificial intelligence (AI) into these systems has the potential to support physicians in selecting the most effective drug therapy for a given patient.

Authors

  • Juliane Andrea Düvel
    Centre for electronic Public Health Research (CePHR), School of Public Health, Bielefeld University, P.O. Box 10 01 31, Bielefeld, D-33501, Germany, 49 521-106-2648.
  • David Lampe
    AG 5 - Health Economics and Health Care Management, School of Public Health, Bielefeld University, Bielefeld, Germany.
  • Maren Kirchner
    AG 5 - Health Economics and Health Care Management, School of Public Health, Bielefeld University, Bielefeld, Germany.
  • Svenja Elkenkamp
    AG 5 - Health Economics and Health Care Management, School of Public Health, Bielefeld University, Bielefeld, Germany.
  • Philipp Cimiano
    Cognitive Interaction Technology Center, Faculty of Technology, Bielefeld University, Bielefeld, Germany.
  • Christoph Düsing
    AG Semantic Computing, Technical Faculty, Bielefeld University, Bielefeld, Germany.
  • Hannah Marchi
    Data Science Group, Faculty of Business Administration and Economics, Bielefeld University, Bielefeld, Germany.
  • Sophie Schmiegel
    Data Science Group, Faculty of Business Administration and Economics, Bielefeld University, Bielefeld, Germany.
  • Christiane Fuchs
    Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany.
  • Simon Claßen
    Department of Anaesthesiology, Surgical Intensive Care, Emergency Medicine, and Pain Therapy, Hospital Bielefeld, University Hospital Bielefeld, Bielefeld, Germany.
  • Kirsten-Laura Meier
    Department of Anaesthesiology, Surgical Intensive Care, Emergency Medicine, and Pain Therapy, Hospital Bielefeld, University Hospital Bielefeld, Bielefeld, Germany.
  • Rainer Borgstedt
    Department of Anaesthesiology, Intensive Care, Emergency Medicine, Transfusion Medicine and Pain Therapy, Campus Bielefeld-Bethel, University Hospital Bielefeld, Bielefeld, Germany.
  • Sebastian Rehberg
    Department of Anaesthesiology, Intensive Care, Emergency Medicine, Transfusion Medicine and Pain Therapy, Campus Bielefeld-Bethel, University Hospital Bielefeld, Bielefeld, Germany.
  • Wolfgang Greiner
    AG 5 - Health Economics and Health Care Management, School of Public Health, Bielefeld University, Bielefeld, Germany.

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