OAKLAND, Calif.--(BUSINESS WIRE)--Dascena, Inc., a machine learning diagnostic algorithm company that is targeting early disease intervention to improve patient care outcomes, announced today the ...

A machine-learning algorithm has the capability to identify hospitalized patients at risk for severe sepsis and septic shock using data from electronic health records (EHRs), according to a study ...

Hospital patients are at risk of a number of life-threatening complications, especially sepsis—a condition that can kill within hours and contributes to one out of three in-hospital deaths in the U.S.

HAMILTON, ON (November 25, 2021) – Each year, sepsis affects more than 30 million people worldwide, causing an estimated six million deaths. Sepsis is the body’s extreme response to an infection and ...

The biggest electronic health record company in the United States, Epic Systems, claims it can solve a major problem for hospitals: identifying signs of sepsis, an often deadly complication from ...

A new study raises critical questions about the effectiveness of the Centers for Medicare and Medicaid Services' (CMS) sepsis quality measure, known as the Severe Sepsis/Septic Shock Management Bundle ...

CHICAGO -- An international group of doctors is pushing for aggressive treatment to prevent half a million deaths worldwide from a common bloodstream infection. Sepsis kills more than 200,000 people ...