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Clinical Decision Support Tools for Order Entry

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Quality and Safety in Imaging

Part of the book series: Medical Radiology ((Med Radiol Diagn Imaging))

Abstract

Medical imaging has helped to transform healthcare and will continue to advance the understanding and treatment of disease. Despite the substantial benefits of medical imaging, there is wide variation in the use of imaging (especially high-cost imaging) and concern about it’s inappropriate use persists. Inappropriate use may result in suboptimal quality of care and wasteand may harm patients by exposure to unnecessary ionizing radiation, the risks of over-diagnosis and over-treatment, including unnecessary additional tests and treatments provided in follow-up of incidental or ambiguous imaging findings.

Clinical decision support tools for order entry provide an opportunity to embed evidence/ clinical best practices in the workflow of providers requesting imaging examinations to reduce inappropriate use of imaging. In this chapter, we define clinical decision support for order entry, review trends in imaging use and describe general features of effective clinical decision support including experience from large-scale implementations. We conclude by reviewing some of the emerging challenges and opportunities for imaging clinical decision support and future directions.

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Abbreviations

AUC:

Appropriate use criteria

CDS:

Clinical decision support

CPOE:

Computerized physician order entry system

EHR:

Electronic health record

IT:

Information technology

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Author information

Authors and Affiliations

  1. Department of Radiology, Center for Evidence-Based Imaging, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA

    Laila Cochon M.D. & Ramin Khorasani M.D., M.P.H.

Authors
  1. Laila Cochon M.D.
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  2. Ramin Khorasani M.D., M.P.H.
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Corresponding author

Correspondence to Ramin Khorasani M.D., M.P.H. .

Editor information

Editors and Affiliations

  1. Department of Diagnostic Imaging, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain

    Lluís Donoso-Bach

  2. Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA

    Giles W. L. Boland

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Cochon, L., Khorasani, R. (2018). Clinical Decision Support Tools for Order Entry. In: Donoso-Bach, L., Boland, G. (eds) Quality and Safety in Imaging. Medical Radiology(). Springer, Cham. https://doi.org/10.1007/174_2017_162

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  • DOI: https://doi.org/10.1007/174_2017_162

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42576-4

  • Online ISBN: 978-3-319-42578-8

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