In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. This project utilized the guidance of the American Society of Health-System Pharmacists (ASHP) autoverification toolkit to refine our health system's approach to autoverification and contribute to the literature regarding appropriate use of autoverification technology in a pediatric and adult emergency department (ED). This single-center quality improvement study was conducted in an academic medical center ED that has 33 pediatric beds and 77 adult beds. A team consisting of clinical pharmacy specialists in emergency medicine, medication safety and informatics personnel, operational managers, and pharmacy leadership was identified to develop and implement autoverification best practices in the ED utilizing practices outlined within the ASHP autoverification toolkit. Before implementation of best practices, defined as the "preoptimization" state, autoverification took place for most medications available in the automated dispensing cabinets (ADCs). By anchoring the autoverification rule on ADC inventory, it was challenging to optimize both inventory practices and autoverification best practices. This project focused on redesigning the autoverification rules in the electronic health record, defined as the "postoptimization" state. In the postoptimization state, autoverification in the ED was updated to better align with regulatory standards. Autoverification metrics and the percentage of orders that autoverified vs required pharmacist verification were analyzed in the preoptimization and postoptimization states. This project utilized the guidance from ASHP's autoverification toolkit to refine our health system's approach to autoverification. High-alert medications (eg, insulin, extended-release opioids, digoxin) were taken off autoverification following implementation. Optimization of autoverification rules allows more orders for high-alert medications to be reviewed by a pharmacist.