Saria and Provonost featured in PBS Nova Next
Suchi Saria, assistant professor of computer science, and Peter J. Pronovost, director of Johns Hopkins Medicine’s Armstrong Institute for Patient Safety and Quality, were featured in PBS Nova Next for their work on TREWS. The tool uses machine-learning methods to help doctors spot sepsis before it’s too late.
“The signs that help pinpoint the diagnosis may already be in your data, but the data in electronic medical records are really messy,” says Saria. “We’re designing computer algorithms based on statistical and computational techniques that were recently developed to allow clinical experts to identify sepsis faster.”
Learn more about the TREWS project here.