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

Parker Rogers   1 , MA ;   Aaron E Boussina   2 , MSc ;   Supreeth P Shashikumar   2 , PhD ;   Gabriel Wardi   3, 4 , MD, PhD ;   Christopher A Longhurst   2 , MSc, MD ;   Shamim Nemati   2 , PhD

1 Department of Economics, University of California, San Diego, La Jolla, CA, United States

2 Department of Biomedical Informatics, University of California, San Diego, La Jolla, CA, United States

3 Department of Emergency Medicine, University of California, San Diego, La Jolla, CA, United States

4 Division of Pulmonary, Critical Care and Sleep Medicine, University of California, San Diego, La Jolla, CA, United States

Corresponding Author:

  • Parker Rogers, MA
  • Department of Economics
  • University of California, San Diego
  • 9500 Gilman Drive
  • La Jolla, CA, 92093
  • United States
  • Phone: 1 405-850-4751
  • Email: parogers@ucsd.edu