Health IT Analytics February 26, 2021
Jessica Kent

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...

Today's Sponsors

pCare
Institute for Healthcare Improvement
Crossover Health

Today's Sponsors

Zelis
HealthITq

Today's Sponsor

Holon

 
Topics: Analytics, Patient / Consumer, Provider, Technology
Optum's end game
The Great Resignation and what it means for healthcare data analytics
Health Catalyst Announces Intent to Acquire KPI Ninja
Definitive Healthcare Acquires Analytical Wizards, Healthcare Analytics Platform
4 digital health tools worth the investment, per CIOs