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Use of a remote clinical decision support service for a multicenter trial to implement prediction rules for children with minor blunt head trauma.
Goldberg, Howard S; Paterno, Marilyn D; Grundmeier, Robert W; Rocha, Beatriz H; Hoffman, Jeffrey M; Tham, Eric; Swietlik, Marguerite; Schaeffer, Molly H; Pabbathi, Deepika; Deakyne, Sara J; Kuppermann, Nathan; Dayan, Peter S.
Afiliación
  • Goldberg HS; Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: hgoldberg@partners.org.
  • Paterno MD; Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
  • Grundmeier RW; Center for Biomedical Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
  • Rocha BH; Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
  • Hoffman JM; Department of Pediatrics, Section of Emergency Medicine, Nationwide Children's Hospital, Columbus, OH, USA; Ohio State University College of Medicine, Columbus, OH, USA.
  • Tham E; Research Informatics, Seattle Children's Research Institute, Seattle, WA, USA; Department of Pediatrics, Children's Hospital Colorado, Aurora, CO, USA.
  • Swietlik M; Department of Pediatrics, Children's Hospital Colorado, Aurora, CO, USA; University of Colorado, Denver, CO, USA.
  • Schaeffer MH; Information Systems, Partners HealthCare System, Boston, MA, USA.
  • Pabbathi D; Information Systems, Partners HealthCare System, Boston, MA, USA.
  • Deakyne SJ; Research Informatics, Children's Hospital Colorado, Aurora, CO, USA.
  • Kuppermann N; Departments of Emergency Medicine and Pediatrics, University of California Davis School of Medicine, Sacramento, CA, USA.
  • Dayan PS; Pediatrics, Division of Pediatric Emergency Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Int J Med Inform ; 87: 101-10, 2016 Mar.
Article en En | MEDLINE | ID: mdl-26806717
ABSTRACT

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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lesiones Encefálicas / Consulta Remota / Manejo de Caso / Sistemas de Apoyo a Decisiones Clínicas / Servicio de Urgencia en Hospital / Registros Electrónicos de Salud Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male / Newborn Idioma: En Revista: Int J Med Inform Asunto de la revista: INFORMATICA MEDICA Año: 2016 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lesiones Encefálicas / Consulta Remota / Manejo de Caso / Sistemas de Apoyo a Decisiones Clínicas / Servicio de Urgencia en Hospital / Registros Electrónicos de Salud Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male / Newborn Idioma: En Revista: Int J Med Inform Asunto de la revista: INFORMATICA MEDICA Año: 2016 Tipo del documento: Article