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 ...

The most popular data are vital signs, which include such things as blood pressure, heart rate, respiration rate, temperature, oxygen saturation and so forth. Often these data are fed into the EHR ...

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 ...

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 ...

Sepsis is an overwhelming infection: bacterial, viral, or fungal. It requires immediate medical attention and intervention. EPIC, the company with the largest share of the electronic medical records ...

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 ...

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 ...

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 ...

Epic Systems has an AI algorithm that helps doctors in detecting sepsis before it even progresses or heads to the worsening of a patient that would most likely end up in a bad situation. Laboratory ...

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.