Outcome analysis is essential to health care quality improvement efforts. Pediatric anesthesia faces unique challenges in analyzing outcomes. Anesthesia most often involves a one-time point of care interaction where work flow precludes detailed feedback to care givers. In addition, pediatric outcome evaluations must take into account patients' age, development, and underlying illnesses when attempting to establish benchmarks. The deployment of electronic medical records, including preoperative, operative, and postoperative data, offers an opportunity for creating datasets large and inclusive enough to overcome these potential confounders. At our institution, perioperative data exist in five distinct environments. In this study, we describe a method to integrate these datasets into a single web-based relational database that provides researchers and clinicians with regular anesthesia outcome data that can be reviewed on a daily, weekly, or monthly basis. Because of its complexity, the project also entailed the creation of a 'dashboard,' allowing tracking of data trends and rapid feedback of measured metrics to promote and sustain improvements. We present the first use of such a database and dashboard for pediatric anesthesia professionals as well as successfully demonstrating its capabilities to perform as described above.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.