Sepsis and septic shock case identification from electronic health records: an open-source workflow and comparison of cohorts by criteria - Top-Institutions - MDSpire

Sepsis and septic shock case identification from electronic health records: an open-source workflow and comparison of cohorts by criteria

  • By

  • Seth R. Bauer

  • Lyla Mourany

  • Paul R. Gunsalus

  • Alex Milinovich

  • Sandra L. Kane-Gill

  • Xiaofeng Wang

  • Yasir Tarabichi

  • Vidula Vachharajani

  • Jarrod E. Dalton

  • December 12, 2025

  • 0 min

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Top Institutions in Emergency Medicine

Brief introduction explaining scope and methodology.

  • #1

    University of Pittsburgh Medical Center (UPMC)
    University of Pittsburgh Medical Center (UPMC)

    Pittsburgh, PA

    Key Differentiators

    • Critical Care Medicine
    • Clinical Informatics
    • Infectious Diseases

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Critical Care Medicine
    • Clinical Informatics
    • Epidemiology

  • #3

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Critical Care Medicine
    • Clinical Informatics
    • Quality Improvement

  • #4

    Massachusetts General Hospital (MGH)
    Massachusetts General Hospital (MGH)

    Boston, MA

    Key Differentiators

    • Critical Care Medicine
    • Clinical Informatics
    • Biomedical Informatics

  • #5

    University of California, San Francisco (UCSF)
    University of California, San Francisco (UCSF)

    San Francisco, CA

    Key Differentiators

    • Critical Care Medicine
    • Clinical Informatics
    • Health Data Science

Original Source(s)

Sepsis and septic shock case identification from electronic health records: an open-source workflow and comparison of cohorts by criteria

  • by Seth R. Bauer, Lyla Mourany, Paul R. Gunsalus, Alex Milinovich, Sandra L. Kane-Gill, Xiaofeng Wang, Yasir Tarabichi, Vidula Vachharajani, Jarrod E. Dalton

  • December 12, 2025

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