Health IT Analytics February 26, 2021
A web-based tool leverages predictive analytics to determine patients’ risk of post-surgical complications like kidney failure and stroke.
Researchers at Thomas Jefferson University have developed a predictive analytics tool that can forecast the risk of post-surgical complications, helping providers to deliver more proactive, preventive care.
“We need to be able to assess the risk of life-threatening, post-surgical complications so we can then come up with individualized ways to reduce those complications,” said Dr. Sang Woo, a clinical associate professor of medicine at Thomas Jefferson University who led the new research.
Patients are at high risk of experiencing life-threatening complications after surgery, with some individuals suffering from kidney failure, stroke, and heart attacks.
“Seeing how much suffering those patients had gone...
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