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Objective: To evaluate the architecture, integration requirements, and execution characteristics of a remote clinical decision support (CDS) service used in a multicenter clinical trial. The trial tested the efficacy of implementing brain injury prediction rules for children with minor blunt head trauma., Materials and Methods: We integrated the Epic(®) electronic health record (EHR) with the Enterprise Clinical Rules Service (ECRS), a web-based CDS service, at two emergency departments. Patterns of CDS review included either a delayed, near-real-time review, where the physician viewed CDS recommendations generated by the nursing assessment, or a real-time review, where the physician viewed recommendations generated by their own documentation. A backstopping, vendor-based CDS triggered with zero delay when no recommendation was available in the EHR from the web-service. We assessed the execution characteristics of the integrated system and the source of the generated recommendations viewed by physicians., Results: The ECRS mean execution time was 0.74 ±0.72 s. Overall execution time was substantially different at the two sites, with mean total transaction times of 19.67 and 3.99 s. Of 1930 analyzed transactions from the two sites, 60% (310/521) of all physician documentation-initiated recommendations and 99% (1390/1409) of all nurse documentation-initiated recommendations originated from the remote web service., Discussion: The remote CDS system was the source of recommendations in more than half of the real-time cases and virtually all the near-real-time cases. Comparisons are limited by allowable variation in user workflow and resolution of the EHR clock., Conclusion: With maturation and adoption of standards for CDS services, remote CDS shows promise to decrease time-to-trial for multicenter evaluations of candidate decision support interventions., (Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.)

Background: Overuse of cranial computed tomography scans in children with blunt head trauma unnecessarily exposes them to radiation. The Pediatric Emergency Care Applied Research Network (PECARN) blunt head trauma prediction rules identify children who do not require a computed tomography scan. Electronic health record (EHR) based clinical decision support (CDS) may effectively implement these rules but must only be provided for appropriate patients in order to minimize excessive alerts., Objectives: To develop, implement and evaluate site-specific groupings of chief complaints (CC) that accurately identify children with head trauma, in order to activate data collection in an EHR., Methods: As part of a 13 site clinical trial comparing cranial computed tomography use before and after implementation of CDS, four PECARN sites centrally developed and locally implemented CC groupings to trigger a clinical trial alert (CTA) to facilitate the completion of an emergency department head trauma data collection template. We tested and chose CC groupings to attain high sensitivity while maintaining at least moderate specificity., Results: Due to variability in CCs available, identical groupings across sites were not possible. We noted substantial variability in the sensitivity and specificity of seemingly similar CC groupings between sites. The implemented CC groupings had sensitivities greater than 90% with specificities between 75-89%. During the trial, formal testing and provider feedback led to tailoring of the CC groupings at some sites., Conclusions: CC groupings can be successfully developed and implemented across multiple sites to accurately identify patients who should have a CTA triggered to facilitate EHR data collection. However, CC groupings will necessarily vary in order to attain high sensitivity and moderate-to-high specificity. In future trials, the balance between sensitivity and specificity should be considered based on the nature of the clinical condition, including prevalence and morbidity, in addition to the goals of the intervention being considered.

Purpose: The electronic health record is becoming central to routine medical practice and has the potential to facilitate large scale clinical research. We evaluated the completeness and accuracy of data collection using designated research fields integrated into a semistructured clinical note. We hypothesized that prospective research data collection as part of routine clinical charting is feasible, with a high rate of utilization (greater than 80%) and accuracy (kappa greater than 0.80)., Materials and Methods: Infants with congenital hydronephrosis were followed prospectively at a single institution. Existing functionality in the electronic health record was used for data collection by creation of 28 different data elements captured from a hydronephrosis note or phrase template. Completeness (percent utilization) was calculated and accuracy was assessed by comparing the structured data to manual chart review. Comparisons were conducted using the chi-square test, with 2-tailed p values <0.05 considered statistically significant., Results: A total of 80 patients were eligible for manual chart review. Data were recorded through template use in 64 patients for an overall completeness of 80.0%. Of 28 elements 17 (60%) demonstrated "almost perfect" agreement (kappa greater than 0.80), and all variables reached at least "moderate" agreement (greater than 0.40)., Conclusions: Integrating research fields into routine clinical practice is feasible by using semistructured clinical templates within an electronic health record. High completion and accuracy rates were captured from a variety of fields within a hydronephrosis template., (Copyright © 2014 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.)