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.

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 ...

A new computer-based decision support tool for sepsis at HCA Healthcare harnesses pivotal data in real time. HCA Healthcare has developed an effective computer-based decision support tool for the ...

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 ...

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 ...

Hospitals are increasingly turning to data science to reduce adverse clinical outcomes, such as decreasing the prevalence of sepsis, the No. 1 cause of unplanned hospital readmissions. In a webinar ...