Literature DB >> 28696857

Use of Radiology Procedure Codes in Health Care: The Need for Standardization and Structure.

Kenneth C Wang1, Jigar B Patel1, Bimal Vyas1, Michael Toland1, Beverly Collins1, Daniel J Vreeman1, Swapna Abhyankar1, Eliot L Siegel1, Daniel L Rubin1, Curtis P Langlotz1.   

Abstract

Radiology procedure codes are a fundamental part of most radiology workflows, such as ordering, scheduling, billing, and image interpretation. Nonstandardized unstructured procedure codes have typically been used in radiology departments. Such codes may be sufficient for specific purposes, but they offer limited support for interoperability. As radiology workflows and the various forms of clinical data exchange have become more sophisticated, the need for more advanced interoperability with use of standardized structured codes has increased. For example, structured codes facilitate the automated identification of relevant prior imaging studies and the collection of data for radiation dose tracking. The authors review the role of imaging procedure codes in radiology departments and across the health care enterprise. Standards for radiology procedure coding are described, and the mechanisms of structured coding systems are reviewed. In particular, the structure of the RadLex™ Playbook coding system and examples of the use of this system are described. Harmonization of the RadLex Playbook system with the Logical Observation Identifiers Names and Codes standard, which is currently in progress, also is described. The benefits and challenges of adopting standardized codes-especially the difficulties in mapping local codes to standardized codes-are reviewed. Tools and strategies for mitigating these challenges, including the use of billing codes as an intermediate step in mapping, also are reviewed. In addition, the authors describe how to use the RadLex Playbook Web service application programming interface for partial automation of code mapping. © RSNA, 2017.

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Year:  2017        PMID: 28696857      PMCID: PMC5548452          DOI: 10.1148/rg.2017160188

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  10 in total

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3.  RadLex: a new method for indexing online educational materials.

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Journal:  Radiographics       Date:  2006 Nov-Dec       Impact factor: 5.333

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9.  A corpus-based approach for automated LOINC mapping.

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10.  Mapping institution-specific study descriptions to RadLex Playbook entries.

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  10 in total
  7 in total

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Journal:  J Am Med Inform Assoc       Date:  2019-01-01       Impact factor: 4.497

Review 2.  Standard Lexicons, Coding Systems and Ontologies for Interoperability and Semantic Computation in Imaging.

Authors:  Kenneth C Wang
Journal:  J Digit Imaging       Date:  2018-06       Impact factor: 4.056

3.  The LOINC RSNA radiology playbook - a unified terminology for radiology procedures.

Authors:  Daniel J Vreeman; Swapna Abhyankar; Kenneth C Wang; Christopher Carr; Beverly Collins; Daniel L Rubin; Curtis P Langlotz
Journal:  J Am Med Inform Assoc       Date:  2018-07-01       Impact factor: 4.497

4.  Analysis of a multicentre cloud-based CT dosimetric database: preliminary results.

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Journal:  Eur Radiol Exp       Date:  2019-07-16

Review 5.  The augmented radiologist: artificial intelligence in the practice of radiology.

Authors:  Erich Sorantin; Michael G Grasser; Ariane Hemmelmayr; Sebastian Tschauner; Franko Hrzic; Veronika Weiss; Jana Lacekova; Andreas Holzinger
Journal:  Pediatr Radiol       Date:  2021-10-19

Review 6.  Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper.

Authors:  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
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Review 7.  Biomedical Ontologies to Guide AI Development in Radiology.

Authors:  Ross W Filice; Charles E Kahn
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  7 in total

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