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Featured Articles

September 4, 2019

Nurse-Led Quality Initiative Cuts Hypoglycemia in ICU Patients

Krista E. Shea, M.S.N., from Stamford Hospital in Connecticut, and colleagues conducted real-time analysis of each episode of hypoglycemia (blood glucose level <60 mg/dL) occurring at a 16-bed critical care unit of a university-affiliated teaching hospital. The interdisciplinary team also evaluated patient risk factors and nursing interventions once root cause analysis was incorporated into daily practice.  Read More

Method to Calculate Central Line Infections Flawed

Jesse Couk, M.D., from Emory University in Atlanta, and colleagues compared CLABSI rates using standard National Healthcare Safety Network (NHSN) measures (a patient could only have one central line day for a given patient day) to rates accounting for multiple concurrent central lines (number of central lines in one patient in one day count as number of line days). Analysis included all adult patients with central lines at two academic medical centers during an 18-month period.  Read More

Could Artificial Intelligence Prevent Sepsis in Hospital Patients?

In the background of all the beeping and gadgetry, an electronic medical record contains thousands of bits of information about your medical history, vital signs and laboratory results. Sentara Healthcare is now deploying artificial intelligence to use that data to stop patients from contracting life-threatening sepsis. Earlier this year the system launched a sepsis prediction tool that alerts doctors and nurses when a patient is at risk of developing the deadly infection.Read More

Rutgers-Developed Model for ICU Pharmacists Addresses Common Dilemma for Hospitals

A new team-based model for intensive care unit (ICU) pharmacists, developed by Rutgers and RWJBarnabas Health System, resolves a common dilemma for hospitals and improves care for critically ill patients.Many ICUs include a team of general practice pharmacists, supplemented by one who specializes in critical care.  Read More