Clinical Decision Support for Ordering CTA-PE Studies in the Emergency Department-A Pilot on Feasibility and Clinical Impact in a Tertiary Medical Center.


Journal

Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159

Informations de publication

Date de publication:
08 2019
Historique:
received: 17 04 2018
revised: 08 09 2018
accepted: 12 09 2018
pubmed: 6 11 2018
medline: 16 5 2020
entrez: 4 11 2018
Statut: ppublish

Résumé

To determine the feasibility and impact of Clinical Decision Support for imaging ordering. A survey of 231 emergency providers identified Computed tomography angiography (CTA)-Pulmonary embolism (PE) as an overutilized study. We developed an algorithm that combined established risk scores to stratify patients for PE work-up (recommendations: CTA, D-dimer or no further testing); the algorithm was integrated into the Epic Radiology Information Ordering System. Among 872 studies requested, 479 (55%) received a recommendation to change their order: 6 (1.3%) were cancelled; 13 (2.7%) changed to a D-dimer, and 460 (96%) proceeded with CTA. Of the 853 studies conducted, 8.2% were positive for PE. The algorithm had good discriminatory power with positivity rates of 12.0% (CT), 10.0% (D-dimer), and 2.6% (no further testing). Compliance with the recommendation ranged from 12%-68% (mean 45%) with 10% correlation between compliance and positivity rates. While the CDS algorithm was accurate, it had only a minimal impact on ordering practices, in part due to heterogeneity in physician adherence.

Identifiants

pubmed: 30389307
pii: S1076-6332(18)30432-X
doi: 10.1016/j.acra.2018.09.009
pii:
doi:

Substances chimiques

Fibrin Fibrinogen Degradation Products 0
fibrin fragment D 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1077-1083

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Auteurs

Alexander Goehler (A)

Department of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115; Harvard Medical School, 25 Shattuck St, Boston, MA 02115; Alfried Krupp von Bohlen und Halbach Foundation Chair for Health Systems Management, University of Duisburg-Essen, Essen, Germany. Electronic address: agoehler@post.harvard.edu.

Christopher Moore (C)

Yale University, Yale New Haven Hospital, Department of Emergency Medicine, 464 Congress Ave #260, New Haven, CT 06450.

Jennifer M Manne-Goehler (JM)

Harvard Medical School, 25 Shattuck St, Boston, MA 02115; Harvard University, Beth-Israel Medical Center, Department of Medicine, 330 Brookline Ave, Boston, MA 02215.

Jennifer Arango (J)

Yale University, Yale New Haven Hospital, Department of Radiology, 20 York St # 2, New Haven, CT 06510.

Linda D'Amato (L)

Yale New Haven Hospital, Information Technology Services, 789 Howard Ave, New Haven, CT 06519.

Howard P Forman (HP)

Yale University, Yale New Haven Hospital, Department of Radiology, 20 York St # 2, New Haven, CT 06510.

Jeffrey Weinreb (J)

Yale University, Yale New Haven Hospital, Department of Radiology, 20 York St # 2, New Haven, CT 06510.

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Classifications MeSH