This paper is in the following e-collection/theme issue:

Theoretical Frameworks and Concepts (258) Simulation (104) Clinical Information and Decision Making (1426) Decision Support for Health Professionals (1203) Case Study (25) Information Models (29) Clinical Informatics (1045)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43486, first published .
Optimizing the Implementation of Clinical Predictive Models to Minimize National Costs: Sepsis Case Study

Optimizing the Implementation of Clinical Predictive Models to Minimize National Costs: Sepsis Case Study

Optimizing the Implementation of Clinical Predictive Models to Minimize National Costs: Sepsis Case Study

Authors of this article:

Parker Rogers1 Author Orcid Image ;   Aaron E Boussina2 Author Orcid Image ;   Supreeth P Shashikumar2 Author Orcid Image ;   Gabriel Wardi3, 4 Author Orcid Image ;   Christopher A Longhurst2 Author Orcid Image ;   Shamim Nemati2 Author Orcid Image
Article Authors Cited by (3) Tweetations (14) Metrics

Journals

  1. Wardi G, Owens R, Josef C, Malhotra A, Longhurst C, Nemati S. Bringing the Promise of Artificial Intelligence to Critical Care: What the Experience With Sepsis Analytics Can Teach Us. Critical Care Medicine 2023;51(8):985 View
  2. Sasmito P, Pranata S, Pamungkas R, Emaliyawati E, Arifani N. Challenges of implementing the hour-1 sepsis bundle: a qualitative study from a secondary hospital in Indonesia. Acute and Critical Care 2024;39(4):545 View