The DRIVe Solving Sepsis initiative is partnering with Emory to further validate an interoperable machine learning software for early prediction of sepsis in hospital intensive care units that will provide physicians with actionable information. The project will leverage a multicenter consortium (Emory SOM, Massachusetts General Hospital, University of California San Diego School of Medicine and Grady Health System) for retrospective validation utilizing a secure cloud architecture and will also execute a prospective deployment of the real-time predictive algorithm.
DRIVe (Division of Research, Innovation, and Ventures) aims to achieve solutions to health security challenges through collaboration and supporting the development of innovative products and approaches. DRIVe is an initiative of BARDA (Biomedical Advanced Research and Development Authority), part of the Office of the Assistant Secretary for Preparedness and Response within the U.S. Department of Health and Human Services.
The deep learning algorithm currently in use in the Emory Healthcare system processes high-resolution vital signs and laboratory measurements in real time to produce prediction scores and has the potential to warn health professionals of the impending development of sepsis in patients four to six hours in advance.
Shanim Nemati (biomedical informatics) and Ashish Sharma (biomedical informatics) are leading the sepsis consortium in collaboration with Andre Holder (medicine), Daniel Wu (emergency medicine), Greg Martin (medicine) and leaders from the other participating institutions. The research team brings together in-depth expertise in critical care medicine and sepsis, electronic health records interoperability, cloud computing, machine learning and artificial intelligence. |