Literature DB >> 27831831

Common Data Elements in Radiology.

Daniel L Rubin1, Charles E Kahn1.   

Abstract

Diagnostic radiologists generally produce unstructured information in the form of images and narrative text reports. Although designed for human consumption, radiologic reports contain a wealth of information that could be valuable for clinical care, research, and quality improvement if that information could be extracted by automated systems. Unfortunately, the lack of structure in radiologic reports limits the ability of information systems to share information easily with other systems. A common data element (CDE)-a unit of information used in a shared, predefined fashion-can improve the ability to exchange information seamlessly among information systems. In this article, a model and a repository of radiologic CDEs is described, and three important applications are highlighted. CDEs can help advance radiologic practice, research, and performance improvement, and thus, it is crucial that CDEs be adopted widely in radiologic information systems. © RSNA, 2016.

Entities:  

Mesh:

Year:  2016        PMID: 27831831     DOI: 10.1148/radiol.2016161553

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  27 in total

1.  tbiExtractor: A framework for extracting traumatic brain injury common data elements from radiology reports.

Authors:  Margaret Mahan; Daniel Rafter; Hannah Casey; Marta Engelking; Tessneem Abdallah; Charles Truwit; Mark Oswood; Uzma Samadani
Journal:  PLoS One       Date:  2020-07-01       Impact factor: 3.240

Review 2.  Current applications and future directions of deep learning in musculoskeletal radiology.

Authors:  Pauley Chea; Jacob C Mandell
Journal:  Skeletal Radiol       Date:  2019-08-04       Impact factor: 2.199

3.  A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop.

Authors:  Curtis P Langlotz; Bibb Allen; Bradley J Erickson; Jayashree Kalpathy-Cramer; Keith Bigelow; Tessa S Cook; Adam E Flanders; Matthew P Lungren; David S Mendelson; Jeffrey D Rudie; Ge Wang; Krishna Kandarpa
Journal:  Radiology       Date:  2019-04-16       Impact factor: 11.105

Review 4.  The state of structured reporting: the nuance of standardized language.

Authors:  Lindsey A G Shea; Alexander J Towbin
Journal:  Pediatr Radiol       Date:  2019-03-29

5.  Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers.

Authors:  John Mongan; Linda Moy; Charles E Kahn
Journal:  Radiol Artif Intell       Date:  2020-03-25

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

Authors:  A E Flanders; J E Jordan
Journal:  AJNR Am J Neuroradiol       Date:  2018-09-20       Impact factor: 3.825

7.  Fostering a Healthy AI Ecosystem for Radiology: Conclusions of the 2018 RSNA Summit on AI in Radiology.

Authors:  Falgun H Chokshi; Adam E Flanders; Luciano M Prevedello; Curtis P Langlotz
Journal:  Radiol Artif Intell       Date:  2019-03-27

8.  Unleashing the value of Common Data Elements through the CEDAR Workbench.

Authors:  Martin J O'Connor; Denise B Warzel; Marcos Martínez-Romero; Josef Hardi; Debra Willrett; Attila L Egyedi; Aras Eftekhari; John Graybeal; Mark A Musen
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

Review 9.  Overview of Noninterpretive Artificial Intelligence Models for Safety, Quality, Workflow, and Education Applications in Radiology Practice.

Authors:  Yasasvi Tadavarthi; Valeria Makeeva; William Wagstaff; Henry Zhan; Anna Podlasek; Neil Bhatia; Marta Heilbrun; Elizabeth Krupinski; Nabile Safdar; Imon Banerjee; Judy Gichoya; Hari Trivedi
Journal:  Radiol Artif Intell       Date:  2022-02-02

10.  Structured reporting adds clinical value in primary CT staging of diffuse large B-cell lymphoma.

Authors:  Franziska Schoeppe; Wieland H Sommer; Dominik Nörenberg; Mareike Verbeek; Christian Bogner; C Benedikt Westphalen; Martin Dreyling; Ernst J Rummeny; Alexander A Fingerle
Journal:  Eur Radiol       Date:  2018-03-29       Impact factor: 5.315

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.