A quality improvement project to improve the Medicare and Medicaid Services (CMS) sepsis bundle compliance rate in a large healthcare system.

Sepsis is a leading cause of mortality and morbidity in hospitalised patients. The Centers for Medicare and Medicaid Services (CMS) mandated that US hospitals report sepsis bundle compliance rate as a quality process measure in October 2015. The specific aim of our study was to improve the CMS sepsis bundle compliance rate from 30% to 40% across 20 acute care hospitals in our healthcare system within 1 year.

Real-Time Automated Sampling of Electronic Medical Records Predicts Hospital Mortality.

Background: Real-time automated continuous sampling of electronic medical record data may expeditiously identify patients at risk for death and enable prompt life-saving interventions. We hypothesized that a real-time electronic medical record-based alert could identify hospitalized patients at risk for mortality.

Methods: An automated alert was developed and implemented to continuously sample electronic medical record data and trigger when at least 2 of 4 systemic inflammatory response syndrome criteria plus at least one of 14 acute organ dysfunction parameters was detected.

30-year-old HIV-positive female with diffuse alveolar hemorrhage.

We present a case of Strongyloides stercoralis hyperinfection in a 30-year-old HIV positive female who presents with diffuse alveolar hemorrhage. We discuss the relevant differential diagnoses and characteristic imaging findings.