Medication errors in a pediatric anesthesia setting: Incidence, etiologies, and error reduction strategies.

STUDY OBJECTIVE: The objective of the study was to: a) characterize the frequency, type, and outcome of anesthetic medication errors spanning an 8.5-year period, b) describe the targeted error reduction strategies and c) measure the effects, if any, of a focused, continuous, multifaceted Medication Safety Program. DESIGN: Retrospective analysis. SETTING: All anesthetizing locations (57). PATIENTS: All anesthesia patients at all Boston Children's Hospital anesthetizing locations from January 2008 to June 2016 were included. INTERVENTIONS: Medication libraries, zero-tolerance philosophy, independent verification, trainee education, standardized dosing; retrospective study. MEASUREMENTS: Number and type of medication errors. MAIN RESULTS: 105 medication errors were identified among the 287,908 cases evaluated during the study period. Incorrect dose (55%) and incorrect medication (28%) were the most frequently observed errors. Beginning within 3 years of the implementation of the 2009 Medication Safety Program, the incidence declined to an average of 3.0 per 10,000 cases in the years from 2010 to 2016 (57% reduction) and declined to an average of only 2.2 per 10,000 cases since 2012 (69% reduction). Logistic regression indicated a 13% reduction per year in the odds of a medication error over the time period (odds ratio = 0.87, 95% CI: 0.79-0.95, P = 0.004). CONCLUSIONS: Although medication errors persisted, there was a statistically significant reduction in errors during the study period. Formalized Medication Safety Programs should be adopted by other departments and institutions; these Programs could help prevent medication errors and decrease their overall incidence.

A Shared Opportunity for Improving Electronic Medical Record Data.

With the recent rapid adoption of electronic medical records (EMRs), studies reporting results based on EMR data have become increasingly common. While analyzing data extracted from our EMR for a retrospective study, we identified various types of erroneous data entries. This report investigates the root causes of the incompleteness, inconsistency, and inaccuracy of the medical records analyzed in our study. While experienced health information management professionals are well aware of the many shortcomings with EMR data, the aims of this case study are to highlight the significance of the negative impact of erroneous EMR data, to provide fundamental principles for managing EMRs, and to provide recommendations to help facilitate the successful use of electronic health data, whether to inform clinical decisions or for clinical research.