For years, the approach to sepsis in acute care settings has been the same: early warning alerts and standardized care protocols. Unfortunately, it hasn’t moved the needle. Sepsis still affects 2.5 ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Sepsis is a deadly reaction to infection, one that can cause runaway inflammation and a cascade of organ damage. It is estimated to kill at least 350,000 Americans per year. Early detection of this ...

The new diagnostic test determines the level of activation of a patient's immune system, which reflects whether the patient has sepsis. A Baton Rouge, Louisiana-based hospital has generated positive ...

Both the diagnosis and management of infectious diseases in hospitalized patients remain prominent clinical challenges and are associated with a substantial financial burden for healthcare systems.

Geisinger and IBM this week announced this week that they've co-created a new predictive model to help clinicians flag sepsis risk using data from the integrated health system's electronic health ...

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 ...

The sepsis definition describes three elements: infection, the host response and life-threatening organ dysfunction. Diagnosis is made based on myriad signs and symptoms, and although infection ...

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 ...

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 ...