Clinical decision support for a multicenter trial of pediatric head trauma: Development, implementation, and lessons learned

Eric Tham, Marguerite Swietlik, Sara Deakyne, Jeffrey M. Hoffman, Robert W. Grundmeier, Marilyn D. Paterno, Beatriz H. Rocha, Molly H. Schaeffer, Deepika Pabbathi, Evaline Alessandrini, Dustin Ballard, Howard S. Goldberg, Nathan Kuppermann, Peter S. Dayan

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

Introduction: For children who present to emergency departments (EDs) due to blunt head trauma, ED clinicians must decide who requires computed tomography (CT) scanning to evaluate for traumatic brain injury (TBI). The Pediatric Emergency Care Applied Research Network (PECARN) derived and validated two age-based prediction rules to identify children at very low risk of clinicallyimportant traumatic brain injuries (ciTBIs) who do not typically require CT scans. In this case report, we describe the strategy used to implement the PECARN TBI prediction rules via electronic health record (EHR) clinical decision support (CDS) as the intervention in a multicenter clinical trial. Methods: Thirteen EDs participated in this trial. The 10 sites receiving the CDS intervention used the Epic® EHR. All sites implementing EHR-based CDS built the rules by using the vendor’s CDS engine. Based on a sociotechnical analysis, we designed the CDS so that recommendations could be displayed immediately after any provider entered prediction rule data. One central site developed and tested the intervention package to be exported to other sites. The intervention package included a clinical trial alert, an electronic data collection form, the CDS rules and the format for recommendations. Results: The original PECARN head trauma prediction rules were derived from physician documentation while this pragmatic trial led each site to customize their workflows and allow multiple different providers to complete the head trauma assessments. These differences in workflows led to varying completion rates across sites as well as differences in the types of providers completing the electronic data form. Site variation in internal change management processes made it challenging to maintain the same rigor across all sites. This led to downstream effects when data reports were developed. Conclusions: The process of a centralized build and export of a CDS system in one commercial EHR system successfully supported a multicenter clinical trial.

Original languageEnglish (US)
Pages (from-to)534-542
Number of pages9
JournalApplied Clinical Informatics
Volume7
Issue number2
DOIs
StatePublished - Jun 15 2016

Keywords

  • Blunt head trauma
  • Children
  • Clinical decision support
  • Clinical trial
  • Implementation
  • Traumatic brain injury

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Health Information Management

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    Tham, E., Swietlik, M., Deakyne, S., Hoffman, J. M., Grundmeier, R. W., Paterno, M. D., Rocha, B. H., Schaeffer, M. H., Pabbathi, D., Alessandrini, E., Ballard, D., Goldberg, H. S., Kuppermann, N., & Dayan, P. S. (2016). Clinical decision support for a multicenter trial of pediatric head trauma: Development, implementation, and lessons learned. Applied Clinical Informatics, 7(2), 534-542. https://doi.org/10.4338/ACI-2015-10-CR-0144