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Pilot Project in Applied Artificial Intelligence: Using Machine Learning to Improve the Safety of Hospital Care

Description

This project aims to

(1) develop and test a predictive model identifying emerging sepsis using artificial intelligence and machine learning, and (2) translate model-based learnings into improved operational criteria and a proposal to pilot the new identification method.

This project leverages in-hospital and ambulatory data from the Sutter Health electronic health record.

Principal Investigator

Sylvia Sudat, PhD

Funder

Greathouse Family Foundation/Sutter Philanthropy

Research Topics

  • Health Services
  • Infectious Disease
  • Medical Informatics

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Investigator: Jiang Li, Ph.D., MPH 

Antimicrobial Resistant E. coli Before and After California Senate Bill 27 (ARES): A Natural Experiment

Natural experiment: test hypothesis that reductions in antimicrobial drug use in livestock production will be related to reductions in AMR in chicken meat, UTIs
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