Development Process of a Clinical Decision Support System for Empiric Antibiotic Therapies in Patients With Sepsis: Case Study - Takeaways - MDSpire

Development Process of a Clinical Decision Support System for Empiric Antibiotic Therapies in Patients With Sepsis: Case Study

  • By

  • Sophie Schmiegel

  • Hannah Marchi

  • Philipp Hege

  • Svenja Elkenkamp

  • Juliane Duevel

  • Christoph Düsing

  • Wolfgang Greiner

  • Sean Selim Scholz

  • Dominic Witzke

  • Johannes J Tebbe

  • Michael Wehmeier

  • Olaf Kaup

  • Rainer Borgstedt

  • Sebastian Rehberg

  • Philipp Cimiano

  • Christiane Fuchs

  • May 13, 2026

  • 0 min

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  • 1

    Sepsis requires immediate treatment within 3 hours of diagnosis to improve survival chances, necessitating broad-spectrum antibiotics as empiric therapy.

  • 2

    The KINBIOTICS project aims to develop an AI-based clinical decision support system to optimize antibiotic therapy for sepsis patients.

  • 3

    Sepsis is a leading cause of global morbidity and mortality, with 48.9 million cases and 11 million deaths reported in 2017.

  • 4

    The WHO emphasizes the need for national health systems to include sepsis prevention, diagnosis, and treatment in their protocols.

  • 5

    Effective antimicrobial therapy initiation is crucial, as delays can decrease survival rates by 7.6% for each hour of delay.

Original Source(s)

Development Process of a Clinical Decision Support System for Empiric Antibiotic Therapies in Patients With Sepsis: Case Study

  • by Sophie Schmiegel, Hannah Marchi, Philipp Hege, Svenja Elkenkamp, Juliane Duevel, Christoph Düsing, Wolfgang Greiner, Sean Selim Scholz, Dominic Witzke, Johannes J Tebbe, Michael Wehmeier, Olaf Kaup, Rainer Borgstedt, Sebastian Rehberg, Philipp Cimiano, Christiane Fuchs

  • May 13, 2026

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