R. Scott Evans

TL;DR: Computerized detection of adverse events will soon be practical on a widespread basis, and appears likely that these techniques will be adaptable in ways that allow detection of a broad array of adverse Events, especially as more medical information becomes computerized.

TL;DR: Opioid-related ADEs following surgery were associated with significantly increased LOS and hospitalization costs, and these ADEs occurred more frequently in patients receiving higher doses of opioids.

TL;DR: Hospitals that operate at or over capacity may experience heightened rates of patient safety events and might consider re-engineering the structures of care to respond better during periods of high stress.

TL;DR: In this paper, a decision-supported patient data is presented to a clinician to aid the clinician with the diagnosis and treatment of a medical condition, where each question presented to the patient is based upon the prior questions presented to and the patient data gathered from the patient.

TL;DR: This study confirms the widely held belief that daily demand for ED services is characterized by seasonal and weekly patterns and concludes that regression-based models that incorporate calendar variables, account for site-specific special-day effects, and allow for residual autocorrelation provide a more appropriate, informative, and consistently accurate approach to forecasting daily ED patient volumes.