Published on in Vol 28 (2026)

This is a member publication of University of Duisburg-Essen

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76772, first published .
Patient Benefits in the Context of Sepsis-Related AI-Based Clinical Decision Support Systems: Scoping Review

Patient Benefits in the Context of Sepsis-Related AI-Based Clinical Decision Support Systems: Scoping Review

Patient Benefits in the Context of Sepsis-Related AI-Based Clinical Decision Support Systems: Scoping Review

Pascal Raszke   1 , MA ;   Godwin Denk Giebel   1 , Dr rer medic ;   Jürgen Wasem   1 , Prof Dr ;   Michael Adamzik   2 , Prof Dr Med ;   Hartmuth Nowak   3 , PD, Dr med ;   Lars Palmowski   2 , Dr med ;   Philipp Heinz   4 , Dipl-Kfm ;   Nina Timmesfeld   5 , Prof Dr ;   Marianne Tokic   5 , MSc ;   Frank Martin Brunkhorst   6 , Prof Dr Med ;   Nikola Blase   1 , Dr med

1 Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany

2 Department of Anesthesiology, Intensive Care Medicine and Pain Therapy, Ruhr University Bochum, Knappschaft Kliniken University Hospital Bochum, Bochum, Germany

3 Department of Anesthesiology, Intensive Care Medicine and Pain Therapy, Center for Artificial Intelligence, Medical Informatics and Data Science, Ruhr-University Bochum, Knappschaft Kliniken University Hospital Bochum, Bochum, Germany

4 Knappschaft Kliniken GmbH, Recklinghausen, Germany

5 Department of Medical Informatics, Biometry and Epidemiology, Ruhr University Bochum, Bochum, Germany

6 Institute of Infectious Diseases and Infection Control, Jena University Hospital, Jena, Germany

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