Journal of Digital Imaging

, Volume 19, Issue 4, pp 295–306 | Cite as

Benefits of the DICOM Structured Report

  • Rita NoumeirEmail author

Recently, the digital imaging and communications in medicine (DICOM) standard introduced rules for the encoding, transmission, and storage of the imaging diagnostic report. This medical document can be stored and communicated with the images in picture archiving and communication system (PACS). It is a structured document that contains text with links to other data such as images, waveforms, and spatial or temporal coordinates. Its structure, along with its wide use of coded information, enables the semantic understanding of the data that is essential for the Electronic Healthcare Record deployment. In this article, we present DICOM Structured Report (SR) and discuss its benefits. We show how SR enables efficient radiology workflow, improves patient care, optimizes reimbursement, and enhances the radiology ergonomic working conditions. As structured input significantly alters the interpretation process, understanding all its benefits is necessary to support the change.

Key Words

Digital Imaging and Communications in Medicine (DICOM) structured report interpretation Picture Archiving and Communication System (PACS) Radiology Information System (RIS) Integrating the Healthcare Enterprise (IHE) 



This work was supported by the Natural Sciences and Engineering Research Council of Canada.


  1. 1.
    Ratib, O, Swiernik, M, McCoy, JM 2003From PACS to integrated EMRComput Med Imaging Graph27207215March/JuneCrossRefPubMedGoogle Scholar
  2. 2.
    Pommerening, k, Reng, M 2004Secondary use of the electronic health record via pseudonymisationBos, LLaxminarayan, SMarsh, A eds. Medical Care Compunetics 1IOS PressAmsterdam441446Google Scholar
  3. 3.
    Noumeir R: Reporting workflow modeling, progress in biomedical optics and imaging. Medical Imaging 2004-PACS and Imaging Informatics 5(25):8–15, 2004Google Scholar
  4. 4.
    Noumeir, R 2003DICOM structured report document type definitionIEEE Trans Inf Technol Biomed7318328DecemberCrossRefPubMedGoogle Scholar
  5. 5.
    Clunie, DA 2001DICOM structured reporting: An object model as an implementation boundaryProc SPIE Int Soc Opt Eng4323207215Google Scholar
  6. 6.
    Noumeir, R 2002Multimedia medical diagnostic documentProc IEEE Int Conf Multimedia Expo2325328Google Scholar
  7. 7.
    Clunie DA: DICOM Structured Reporting. PixelMed Publishing, 2002Google Scholar
  8. 8.
    Hripcsak, G, Austin, JHM, Philip, O, Alderson, PO, Friedman, C 2002Use of natural language processing to translate clinical information from a database of 889,921 chest radiographic reportsRadiology224157163PubMedGoogle Scholar
  9. 9.
    Langlotz, CP 2002Automatic structuring of radiology reports: Harbinger of a second information revolution in radiologyRadiology22457PubMedGoogle Scholar
  10. 10.
    Naik, SS, Hanbidge, A, Wilson, SR 2001Radiology reports: Examining radiologist and clinician preferences regarding style and contentAJR176591598PubMedGoogle Scholar
  11. 11.
    Noumeir R: Radiology interpretation process modeling. J Biomed Inf 39(2):103–114, April 2006CrossRefGoogle Scholar
  12. 12.
    Noumeir R, Lemay A, Lina JM: Pseudonymisation of radiology data for research purposes. J Digit Imaging (in press)Google Scholar
  13. 13.
    Supplement 104: DICOM Encapsulation of PDF Documents, Digital Imaging and Communications in Medicine (DICOM), March 2005Google Scholar
  14. 14.
    IHE Technical Framework, www.ihe.netGoogle Scholar
  15. 15.
    Carr, CD, Moore, SM 2003IHE: A model for driving adoption of standardsComput Med Imaging Graph27137146March/JuneCrossRefPubMedGoogle Scholar

Copyright information

© SCAR (Society for Computer Applications in Radiology) 2006

Authors and Affiliations

  1. 1.École de Technologie SupérieureMontrealCanada

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