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.
Greathouse Family Foundation/Sutter Philanthropy
October 01, 2018
March 31, 2020
Randomized study of EHR Defaults and Using social Comparison feedback to effectively decrease opioid prescription pill burden (REDUCE).
Investigator: Xiaowei (Sherry) Yan, PhD, MS
Investigator: Jiang Li, Ph.D., MPH