BackgroundThe use of Electronic Health Records (EHR) has increased significantly in the past 15 years. This study compares electronic vs. manual data abstractions from an EHR for accuracy. While the dataset is limited to preterm birth data, our work is generally applicable. We enumerate challenges to reliable extraction, and state guidelines to maximize reliability.MethodsAn Epic™ EHR data extraction of structured data values from 1,772 neonatal records born between the years 2001–2011 was performed. The data were directly compared to a manually-abstracted database. Specific data values important to studies of perinatology were chosen to compare discrepancies between the two databases.ResultsDiscrepancy rates between the EHR extraction and the manual database were calculated for gestational age in weeks (2.6 %), birthweight (9.7 %), first white blood cell count (3.2 %), initial hemoglobin (11.9 %), peak total and direct bilirubin (11.4 % and 4.9 %), and patent ductus arteriosus (PDA) diagnosis (12.8 %). Using the discrepancies, errors were quantified in both datasets using chart review. The EHR extraction errors were significantly fewer than manual abstraction errors for PDA and laboratory values excluding neonates transferred from outside hospitals, but significantly greater for birth weight. Reasons for the observed errors are discussed.ConclusionsWe show that an EHR not modified specifically for research purposes had discrepancy ranges comparable to a manually created database. We offer guidelines to minimize EHR extraction errors in future study designs. As EHRs become more research-friendly, electronic chart extractions should be more efficient and have lower error rates compared to manual abstractions.Electronic supplementary materialThe online version of this article (doi:10.1186/s12887-016-0592-z) contains supplementary material, which is available to authorized users.

Objective We describe the Clickbusters initiative implemented at Vanderbilt University Medical Center (VUMC), which was designed to improve safety and quality and reduce burnout through the optimization of clinical decision support (CDS) alerts. Materials and Methods We developed a 10-step Clickbusting process and implemented a program that included a curriculum, CDS alert inventory, oversight process, and gamification. We carried out two 3-month rounds of the Clickbusters program at VUMC. We completed descriptive analyses of the changes made to alerts during the process, and of alert firing rates before and after the program. Results Prior to Clickbusters, VUMC had 419 CDS alerts in production, with 488 425 firings (42 982 interruptive) each week. After 2 rounds, the Clickbusters program resulted in detailed, comprehensive reviews of 84 CDS alerts and reduced the number of weekly alert firings by more than 70 000 (15.43%). In addition to the direct improvements in CDS, the initiative also increased user engagement and involvement in CDS. Conclusions At VUMC, the Clickbusters program was successful in optimizing CDS alerts by reducing alert firings and resulting clicks. The program also involved more users in the process of evaluating and improving CDS and helped build a culture of continuous evaluation and improvement of clinical content in the electronic health record.

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Background An exclusive human milk–based diet has been shown to decrease necrotizing enterocolitis and improve outcomes for infants ≤1250 g birth weight. Studies have shown that infants who received an exclusive human milk diet with a donor‐human milk–derived cream supplement (cream) had improved weight and length velocity when the cream was added to mother's own milk or donor‐human milk when energy was <20 kcal/oz using a human milk analyzer. Our objective was to compare growth and cost outcomes of infants ≤1250 g birth weight fed with an exclusive human milk diet, with and without human milk cream, without the use of a human milk analyzer. Methods Two cohorts of human milk–fed premature infants were compared from birth to 34 weeks postmenstrual age. Group 1 (2010–2011) received a donor‐human milk fortifier, whereas Group 2 (2015–2016) received donor‐human milk fortifier plus the commercial cream supplement, if weight gain was <15 g/kg/d. Results There was no difference in growth between the 2 groups for weight (P = 0.32) or head circumference (P = 0.90). Length velocity was greater for Group 1 (P = 0.03). The mean dose of donor‐human milk fortifier was lower in Group 2 (P < 0.001). Group 2 saved an average of $2318 per patient on the cost of human milk products (P < 0.01). Conclusions Infants receiving a human milk diet with cream supplementation for growth faltering achieve appropriate growth in a cost‐effective feeding strategy.