Epic has made changes to its sepsis prediction model in a bid to improve its accuracy and make its alerts more meaningful to clinicians. An Epic spokesperson told Becker’s in an emailed statement that ...

Sepsis, an overwhelming infection, remains among hospitals’ most difficult conditions to identify and treat. Algorithms within electronic medical records have been developed to help clinicians. So how ...

In marketing materials and internal documents, national electronic health record vendor Epic Systems has touted the ability of its sepsis algorithm to crunch dozens of variables to detect the ...

Epic’s sepsis early warning system, which notifies clinicians of potential signs of sepsis in their patients, sent out an overload of alerts during the COVID-19 pandemic that may have contributed to ...

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 new study.

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 ...

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.

The Sepsis “Sniffer” Algorithm, a digital sepsis alert embedded in an EHR, is a useful tool but it may not be a viable alternative to the Nurse Screening Tool, a manual sepsis alert, according to a ...

Artificial intelligence algorithms are everywhere in healthcare. They sort through patients’ data to predict who will develop medical conditions like heart disease or diabetes, they help doctors ...