EHRs help identify patients at greatest risk of dying from sepsis

MartinaMartina Administrator admin
edited January 7 in Sepsis

Drexel University researchers have developed an analytical model for detecting early warning signs of sepsis that can predict those patients at the greatest risk of dying from the life-threatening condition.

Leveraging EHR data from more than 210,000 hospital visits between 2013 and 2016, researchers have used their model to analyze the relationship between in-hospital mortality and sepsis symptoms with seven organ systems—cardiovascular, gastrointestinal, hematopoietic, metabolic, nervous, renal, and respiratory—in order to determine which organ dysfunctions resulted in deaths.

Read full article:

Sign In or Register to comment.