Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66699, first published .
An AI-Based Clinical Decision Support System for Antibiotic Therapy in Sepsis (KINBIOTICS): Use Case Analysis

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

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

Juliane Andrea Düvel   1 , MSc ;   David Lampe   2 , MSc ;   Maren Kirchner   2 , BSc ;   Svenja Elkenkamp   2 , MEd, MSc ;   Philipp Cimiano   3 , Prof Dr ;   Christoph Düsing   3 , MSc ;   Hannah Marchi   4 , MSc ;   Sophie Schmiegel   4 , MSc ;   Christiane Fuchs   4 , Prof Dr ;   Simon Claßen   5 , MD ;   Kirsten-Laura Meier   5 , MD ;   Rainer Borgstedt   6 , Dr ;   Sebastian Rehberg   6 , Prof Dr ;   Wolfgang Greiner   2 , Prof Dr

1 Centre for electronic Public Health Research (CePHR), School of Public Health, Bielefeld University, Bielefeld, Germany

2 AG 5 - Health Economics and Health Care Management, School of Public Health, Bielefeld University, Bielefeld, Germany

3 AG Semantic Computing, Technical Faculty, Bielefeld University, Bielefeld, Germany

4 Data Science Group, Faculty of Business Administration and Economics, Bielefeld University, Bielefeld, Germany

5 Department of Anaesthesiology, Surgical Intensive Care, Emergency Medicine, and Pain Therapy, Hospital Bielefeld, University Hospital Bielefeld, Bielefeld, Germany

6 Department of Anaesthesiology, Intensive Care, Emergency Medicine, Transfusion Medicine and Pain Therapy, Campus Bielefeld-Bethel, University Hospital Bielefeld, Bielefeld, Germany

Corresponding Author:

  • Juliane Andrea Düvel, MSc
  • Centre for electronic Public Health Research (CePHR)
  • School of Public Health
  • Bielefeld University
  • P.O. Box 10 01 31
  • Bielefeld, D-33501
  • Germany
  • Phone: 49 521-106-2648
  • Email: juliane.duevel@uni-bielefeld.de