India has enrolled its first newborn in the global NeoSep1 trial at JIPMER, Puducherry. The study will test antibiotic ...

The largest hospital company in the United States will soon expand a program that uses computer algorithm to detect sepsis in patients faster than any human doctor or nurse. HCA Healthcare, which is ...

A machine-learning algorithm has the capability to identify hospitalized patients at risk for severe sepsis and septic shock using data from electronic health records (EHRs), according to a new study.

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 ...

Even in the face of increased pressure from regulators, many doctors have failed to fully embrace early screening and treatment protocols for sepsis, an infection-related complication that afflicts ...

For a patient with sepsis—which kills more Americans every year than AIDS and breast and prostate cancer combined—hours can make the difference between life and death. The quest for early diagnosis of ...

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 ...

Early recognition of sepsis in hospitalized patients and timely, protocol-driven interventions are spelled out for critical care nurses in new international guidelines. "Critical care nurses play an ...