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 ...

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 ...

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 ...

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 ...

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 ...

This may sound like an intimidating technical topic, but I’m going to keep it simple. I went to public schools, so I’m going to leave the complicated math to MIT graduates.[2] Before I dive into the ...