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
Related Studies
COVID-19 Impacts on Cancer Care Management, Patient Experience and Care Costs
Investigators: Monique de Bruin, M.D., MPH, Su-Ying Liang, Ph.D., Cheryl Stults, Ph.D.
COVID-19 Universal Registry for Vital Evaluations (CURVE) Project
Investigators: Robert Romanelli, Ph.D., MPH, Jiang Li, Ph.D., MPH
Impact of COVID-19 on Cancer Care Management
Investigators: Monique de Bruin, M.D., MPH, Su-Ying Liang, Ph.D.
Improving Cancer Care
Investigators: Su-Ying Liang, Ph.D., Harold (Hal) Luft, Ph.D., Ellis C. Dillon, Ph.D.
Quantifying 2D and 3D MRI Imaging For Improving MS Diagnosis, Treatment, And Clinical Care
Investigators: J.B. Jones, PhD, MBA, Xiaowei (Sherry) Yan, PhD, MS
Randomized study of EHR Defaults and Using social Comparison feedback to effectively decrease opioid prescription pill burden (REDUCE).
Investigator: Xiaowei (Sherry) Yan, PhD, MS
Statin Use and Risk Prediction of Atherosclerotic Cardiovascular Disease in Minority Subgroups (SURPASS) Study
Investigators: External PI, Principal Investigator, Jiang Li, Ph.D., MPH
Stupski Serious Illness Program Evaluation
Investigators: Sylvia Sudat, PhD, Ellis C. Dillon, Ph.D.
The Impact of Smoking, Comorbidities, and Race/Ethnicity on COVID-19 Infection and Disease Severity
Investigator: Jiang Li, Ph.D., MPH
Using Mobile Technology and Analytics to Track Outcomes in MS Patients
Investigators: Xiaowei (Sherry) Yan, PhD, MS, J.B. Jones, PhD, MBA