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Research ArticlePractice Perspectives

The ASNR-ACR-RSNA Common Data Elements Project: What Will It Do for the House of Neuroradiology?

A.E. Flanders and J.E. Jordan
American Journal of Neuroradiology January 2019, 40 (1) 14-18; DOI: https://doi.org/10.3174/ajnr.A5780
A.E. Flanders
aFrom the Department of Radiology/Neuroradiology (A.E.F.), Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
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J.E. Jordan
bStandards and Guidelines Committee for the American Society of Neuroradiology (J.E.J.), Rancho Palos Verdas, California.
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Article Information

vol. 40 no. 1 14-18
DOI 
https://doi.org/10.3174/ajnr.A5780
PubMed 
30237302

Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Received May 24, 2018
  • Accepted after revision June 28, 2018
  • Published online January 11, 2019.

Copyright & Usage 
© 2019 by American Journal of Neuroradiology

Author Information

  1. A.E. Flandersa and
  2. J.E. Jordanb
  1. aFrom the Department of Radiology/Neuroradiology (A.E.F.), Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
  2. bStandards and Guidelines Committee for the American Society of Neuroradiology (J.E.J.), Rancho Palos Verdas, California.
  1. Please address correspondence to Adam E. Flanders, MD, Thomas Jefferson University Hospital, Suite 1080B Main Building, 132 S. Tenth Street, Philadelphia, PA 19107; e-mail: adam.flanders{at}jefferson.edu; @BFlanksteak
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    Journal of the American College of Radiology 2019 16 10
  • Fostering a Healthy AI Ecosystem for Radiology: Conclusions of the 2018 RSNA Summit on AI in Radiology
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    Radiology: Artificial Intelligence 2019 1 2
  • Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper
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    Journal of Digital Imaging 2021 34 3
  • Common Data Elements in Head and Neck Radiology Reporting
    Anandh G. Rajamohan, Vishal Patel, Nasim Sheikh-Bahaei, Chia-Shang J. Liu, John L. Go, Paul E. Kim, Wende Gibbs, Jay Acharya
    Neuroimaging Clinics of North America 2020 30 3
  • An Introductory Guide to Artificial Intelligence in Interventional Radiology: Part 1 Foundational Knowledge
    Blair Edward Warren, Alexander Bilbily, Judy Wawira Gichoya, Aaron Conway, Ben Li, Aly Fawzy, Camilo Barragán, Arash Jaberi, Sebastian Mafeld
    Canadian Association of Radiologists Journal 2024 75 3
  • Mental Health Informatics
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  • Standardizing imaging findings representation: harnessing Common Data Elements semantics and Fast Healthcare Interoperability Resources structures
    Ali S Tejani, Brian Bialecki, Kevin O’Donnell, Teri Sippel Schmidt, Marc D Kohli, Tarik Alkasab
    Journal of the American Medical Informatics Association 2024 31 8
  • AO Spine Injury Classification System Made Easy
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    Neurographics 2023 13 2
  • Standardized reporting for Head CT Scans in patients suspected of traumatic brain injury (TBI): An international expert endeavor
    Max Wintermark, Jason W. Allen, Yoshimi Anzai, Tilak Das, Adam E. Flanders, Damien Galanaud, Alisa Gean, Sven Haller, Han Lv, Jussi Hirvonen, John E. Jordan, Roland Lee, Yvonne W. Lui, Pia C. Sundgren, Pratik Mukherjee, Kent Gøran Moen, Mario Muto, Karelys Ng, Sumit N. Niogi, Alex Rovira, Niloufar Libre de Bruxellas, Marion Smits, A. John Tsiouris, Johan Van Goethem, Thijs Vande Vyvere, Chris Whitlow, Martin Wiesmann, Kei Yamada, Natalia Zakharova, Paul M. Parizel
    Neuroradiology 2024 66 9
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    Neuroradiology 2023 65 11
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Vol. 40, Issue 1
1 Jan 2019
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Cite this article
A.E. Flanders, J.E. Jordan
The ASNR-ACR-RSNA Common Data Elements Project: What Will It Do for the House of Neuroradiology?
American Journal of Neuroradiology Jan 2019, 40 (1) 14-18; DOI: 10.3174/ajnr.A5780

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The ASNR-ACR-RSNA Common Data Elements Project: What Will It Do for the House of Neuroradiology?
A.E. Flanders, J.E. Jordan
American Journal of Neuroradiology Jan 2019, 40 (1) 14-18; DOI: 10.3174/ajnr.A5780
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This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • Bending the Artificial Intelligence Curve for Radiology: Informatics Tools From ACR and RSNA
    Marc Kohli, Tarik Alkasab, Ken Wang, Marta E. Heilbrun, Adam E. Flanders, Keith Dreyer, Charles E. Kahn
    Journal of the American College of Radiology 2019 16 10
  • Fostering a Healthy AI Ecosystem for Radiology: Conclusions of the 2018 RSNA Summit on AI in Radiology
    Falgun H. Chokshi, Adam E. Flanders, Luciano M. Prevedello, Curtis P. Langlotz
    Radiology: Artificial Intelligence 2019 1 2
  • Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper
    Christopher J. Roth, David A. Clunie, David J. Vining, Seth J. Berkowitz, Alejandro Berlin, Jean-Pierre Bissonnette, Shawn D. Clark, Toby C. Cornish, Monief Eid, Cree M. Gaskin, Alexander K. Goel, Genevieve C. Jacobs, David Kwan, Damien M. Luviano, Morgan P. McBee, Kelly Miller, Abdul Moiz Hafiz, Ceferino Obcemea, Anil V. Parwani, Veronica Rotemberg, Elliot L. Silver, Erik S. Storm, James E. Tcheng, Karen S. Thullner, Les R. Folio
    Journal of Digital Imaging 2021 34 3
  • Common Data Elements in Head and Neck Radiology Reporting
    Anandh G. Rajamohan, Vishal Patel, Nasim Sheikh-Bahaei, Chia-Shang J. Liu, John L. Go, Paul E. Kim, Wende Gibbs, Jay Acharya
    Neuroimaging Clinics of North America 2020 30 3
  • An Introductory Guide to Artificial Intelligence in Interventional Radiology: Part 1 Foundational Knowledge
    Blair Edward Warren, Alexander Bilbily, Judy Wawira Gichoya, Aaron Conway, Ben Li, Aly Fawzy, Camilo Barragán, Arash Jaberi, Sebastian Mafeld
    Canadian Association of Radiologists Journal 2024 75 3
  • Mental Health Informatics
    Randy L. Gollub, Nicole Benson
    2021
  • Standardizing imaging findings representation: harnessing Common Data Elements semantics and Fast Healthcare Interoperability Resources structures
    Ali S Tejani, Brian Bialecki, Kevin O’Donnell, Teri Sippel Schmidt, Marc D Kohli, Tarik Alkasab
    Journal of the American Medical Informatics Association 2024 31 8
  • AO Spine Injury Classification System Made Easy
    A.S. Al Taweel, G. Edhayan, M. Colasurdo, S.C. Owji, M.M. Barghash, M.A. Alabdulkareem, H.A. Al Jadiry, K.J. Hsieh
    Neurographics 2023 13 2
  • Standardized reporting for Head CT Scans in patients suspected of traumatic brain injury (TBI): An international expert endeavor
    Max Wintermark, Jason W. Allen, Yoshimi Anzai, Tilak Das, Adam E. Flanders, Damien Galanaud, Alisa Gean, Sven Haller, Han Lv, Jussi Hirvonen, John E. Jordan, Roland Lee, Yvonne W. Lui, Pia C. Sundgren, Pratik Mukherjee, Kent Gøran Moen, Mario Muto, Karelys Ng, Sumit N. Niogi, Alex Rovira, Niloufar Libre de Bruxellas, Marion Smits, A. John Tsiouris, Johan Van Goethem, Thijs Vande Vyvere, Chris Whitlow, Martin Wiesmann, Kei Yamada, Natalia Zakharova, Paul M. Parizel
    Neuroradiology 2024 66 9
  • Structured Reporting in Radiology
    Marc Kohli, Adam Flanders, Tarik Alkasab, Judy Gichoya, Ashley Prosper, Mansoor Fatehi
    2022

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