Background: Adverse drug events (ADEs) are responsible for up to 770,000 inpatient injuries and deaths annually in the United States, most of which are from prescribing errors. Electronic order sets are designed to improve quality by reducing care variability and increasing efficiency of order entry, but may also facilitate prescribing errors via automation bias. There [...]

Background: Telemetry is utilized on high risk cardiac patients for monitoring of arrthymias. Guidelines providing clear monitoring indications have been published by AHA to reduce overuse of this resource, which can lead to increased care costs and false positive alerting. Despite the above evidence, our hospital has a high volume of patients on telemetry causing [...]

Background: Electronic health record (EHR) systems are used by a majority of US hospitals. EHR use has been associated with increased task complexity, clinical data volume and provider documentation demands. Studies of multiple specialties suggest that a significant amount of provider time is spent on indirect patient care activities including turbulent provider workflows and documentation. [...]

Background: Accurate, high-quality data is critical for work in quality improvement, research, and clinical operations. With an electronic health record (EHR), vast amounts of observational data are collected on patients every day. This data can provide actionable knowledge if an institution can successfully extract and analyze it. At our institution, which adopted the Epic EHR [...]

Background: Healthcare research has traditionally relied upon data collected from clinical trials and data generated from patient registries and insurance claims to drive analyses. As electronic health records (EHR) and computerized physician order entry have proliferated, large quantities of healthcare data is being generated daily through their routine use. A form of “big data,” this [...]