Researchers at Children's Hospital of Philadelphia (CHOP) have developed a novel computational algorithm to track the epidemiology of pediatric sepsis, allowing for the collection of more accurate ...

The largest hospital company in the United States will soon expand a program that uses computer algorithm to detect sepsis in patients faster than any human doctor or nurse. HCA Healthcare, which is ...

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.

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 ...

For a patient with sepsis—which kills more Americans every year than AIDS and breast and prostate cancer combined—hours can make the difference between life and death. The quest for early diagnosis of ...

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 is often life-threatening. Since ...

Epic Systems has revamped its widely criticized sepsis prediction model in a bid to improve its accuracy and make its alerts more meaningful to clinicians trying to snuff out the deadly condition.

AI is already boosting positive outcomes in health care and holds promise for delivering many more. It is important, however, that deployment of AI tools—especially in a life-or-death health care ...

Even in the face of increased pressure from regulators, many doctors have failed to fully embrace early screening and treatment protocols for sepsis, an infection-related complication that afflicts ...

The Surviving Sepsis Guidelines were first published in 2004, with updates issued in 2008 and 2012. In January, the newest updates were released and published in Critical Care Medicine and Intensive ...

Researchers then validated the algorithm on suspected or confirmed sepsis cases seen at CHOP between July 1, 2018 and January 31, 2019. Once researchers had developed and validated the algorithm, they ...