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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, Alice R. Pressman, Ph.D., M.S.

Funder

Greathouse Family Foundation/Sutter Philanthropy

Start Date

October 01, 2018

End Date

March 31, 2020

Research Topics

  • Health Services
  • Infectious Disease
  • Medical Informatics

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