Identify obstetric patients at risk for clinical deterioration by using a variety of patient clinical parameters obtained from multiple data modalities and predictive modeling of pregnancy specific, patient related changes.
Augment OR case review huddles with a virtual operating room hub to facilitate communication across shifts and within shifts in the OR.
Development and implementation of a telehealth program at Duke University Hospital ED to reduce left without being seen (LWBS) and initiate patient care faster.
Sepsis Watch is a deep learning model that leverages real-time EHR data to improve detection and treatment of sepsis in the hospital. It was successfully integrated into routine clinical care in November 2018 and has reshaped how local machine learning projects are executed.
A machine learning model to predict in-hospital mortality, run at the time of admission to the hospital, for all adult patients.
Provides clinicians decision support when ordering analytes to promote high value analyte ordering.
