EHR vendor Epic’s sepsis prediction model was found to be more accurate than other models at higher threshold prediction, but was found to have missed a higher share of true cases and was less timely ...

Some hospitals using Epic’s sepsis alert system experienced an increased number of alerts in the weeks after the COVID-19 pandemic began compared to the months leading up, according to a Nov. 19 ...

A research letter published in the Journal of the American Medical Association Network Open this week examined the number of alerts generated by the Epic Sepsis Model at 24 hospitals before and during ...

A new independent study in the Journal of Critical Care Medicine found that Epic's sepsis early warning system led to faster antibiotic administration and better patient outcomes without an increase ...

Sepsis, a life-threatening reaction to an infection, is one of the leading causes of hospital deaths in the U.S., and is a key quality measure. Because of this, many hospitals have adopted software ...

Please provide your email address to receive an email when new articles are posted on . NASHVILLE, Tenn. — Use of an electronic health record integrated sepsis model did not impact time to antibiotics ...

In the fight against sepsis, one of the leading causes of death in hospitalized patients, clinicians are increasingly reliant on prediction tools trained on massive amounts of data stored in ...

One in three patients who dies in a hospital has sepsis, a severe inflammatory response to an infection, marked by organ dysfunction, according to the Centers for Disease Control and Prevention. This ...

Hospitals spend a lot of money on algorithms to predict and prevent sepsis cases and save lives. But these tools are largely unproven. The predictive models exist largely in a gray market. Without ...

Please provide your email address to receive an email when new articles are posted on . NASHVILLE, Tenn. — In this Healio exclusive interview, Daniel M. Burgin, MD, discussed his retrospective ...

EPIC is arguably THE electronic health record system in the US with the most significant market share (56% of all patient records). Countless millions of federal money have passed into their corporate ...

Sepsis is poorly understood, difficult to identify, and even harder to predict. Consistent stakeholder involvement may be key to identifying precisely where and how a sepsis early warning system could ...