Sutter Health in Sacramento, Calif., Geisinger Health System in Danville, Pa., and IBM have been awarded a $2 million research grant from the National Institutes of Health to develop data analytics tools and applications to help clinicians detect and predict heart failure sooner.
The research project aims to determine how to use information from electronic health records along with advanced analytics to reveal signs and patterns that could help clinicians better identify and monitor those most likely to suffer from heart failure. The results of this project will then be shared with hospitals and health systems nationwide to increase preventative care among high-risk patients.
"Heart failure will remain among our nation's most deadly and costly diseases unless we discover new methods to detect the illness much earlier," Walter "Buzz" Stewart, PhD., MPH, chief research and development officer at Sutter Health and principal investigator for the project, said in the news release. "Sophisticated analysis of EHR data could reveal the unique presentation of these symptoms at earlier stages and allow doctors and patients to work together sooner to do something about it. Through this research we could transform how heart failure is managed in the future."
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