Literature DB >> 30923882

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

Lindsey A G Shea1, Alexander J Towbin2,3.   

Abstract

Radiology reports are the principal form of communication with the referring provider. Unfortunately, they can be a form of communication riddled with errors and inscrutable statements burying the intended meaning, failing to achieve the main task for which it was made: communicating key imaging findings as they pertain to the clinical question being posed. Structured reporting is a multifaceted and modular solution to problematic reports, with variable iterations and benefits. Structured reports have been adapted across departments and even national societies, with standardized format, content and language. Newer developments include contextual reporting and common data elements. Herein, we discuss the various forms and levels of structured reporting and the latest advancements, as well as the general acceptance within radiology. We also discuss some areas for improvement as the practice of structured reporting matures.

Keywords:  Children; Common data elements; Communication; Contextual reporting; Radiology; Standardized reporting; Structured reporting

Mesh:

Year:  2019        PMID: 30923882     DOI: 10.1007/s00247-019-04345-0

Source DB:  PubMed          Journal:  Pediatr Radiol        ISSN: 0301-0449


  24 in total

1.  Prepopulated radiology report templates: a prospective analysis of error rate and turnaround time.

Authors:  C M Hawkins; S Hall; J Hardin; S Salisbury; A J Towbin
Journal:  J Digit Imaging       Date:  2012-08       Impact factor: 4.056

2.  State of structured reporting in radiology, a survey.

Authors:  Daniel K Powell; James E Silberzweig
Journal:  Acad Radiol       Date:  2014-10-23       Impact factor: 3.173

Review 3.  Communication in diagnostic radiology: meeting the challenges of complexity.

Authors:  David B Larson; Craig M Froehle; Neil D Johnson; Alexander J Towbin
Journal:  AJR Am J Roentgenol       Date:  2014-11       Impact factor: 3.959

4.  Use of a Web-Based Calculator and a Structured Report Generator to Improve Efficiency, Accuracy, and Consistency of Radiology Reporting.

Authors:  Alexander J Towbin; C Matthew Hawkins
Journal:  J Digit Imaging       Date:  2017-10       Impact factor: 4.056

5.  Radiology Reports: What YOU Think You're Saying and What THEY Think You're Saying.

Authors:  Bonmyong Lee; Matthew T Whitehead
Journal:  Curr Probl Diagn Radiol       Date:  2016-11-16

Review 6.  Improving efficiency in the radiology department.

Authors:  Alexander J Towbin; Laurie A Perry; David B Larson
Journal:  Pediatr Radiol       Date:  2017-05-23

7.  Improving consistency in radiology reporting through the use of department-wide standardized structured reporting.

Authors:  David B Larson; Alex J Towbin; Rebecca M Pryor; Lane F Donnelly
Journal:  Radiology       Date:  2013-01-17       Impact factor: 11.105

8.  Creation and implementation of department-wide structured reports: an analysis of the impact on error rate in radiology reports.

Authors:  C Matthew Hawkins; Seth Hall; Bin Zhang; Alexander J Towbin
Journal:  J Digit Imaging       Date:  2014-10       Impact factor: 4.056

9.  PACS and the Erosion of Professional Relationships.

Authors:  Darel E Heitkamp; Jordan H Cuskaden; Bilal Tahir; Richard B Gunderman
Journal:  Acad Radiol       Date:  2016-05-10       Impact factor: 3.173

10.  Improvement in diagnostic accuracy of ultrasound of the pediatric appendix through the use of equivocal interpretive categories.

Authors:  David B Larson; Andrew T Trout; Shelby R Fierke; Alexander J Towbin
Journal:  AJR Am J Roentgenol       Date:  2015-04       Impact factor: 3.959

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  2 in total

1.  Structured Reporting of Computed Tomography in the Staging of Neuroendocrine Neoplasms: A Delphi Consensus Proposal.

Authors:  Vincenza Granata; Francesca Coppola; Roberta Grassi; Roberta Fusco; Salvatore Tafuto; Francesco Izzo; Alfonso Reginelli; Nicola Maggialetti; Duccio Buccicardi; Barbara Frittoli; Marco Rengo; Chandra Bortolotto; Roberto Prost; Giorgia Viola Lacasella; Marco Montella; Eleonora Ciaghi; Francesco Bellifemine; Federica De Muzio; Ginevra Danti; Giulia Grazzini; Massimo De Filippo; Salvatore Cappabianca; Carmelo Barresi; Franco Iafrate; Luca Pio Stoppino; Andrea Laghi; Roberto Grassi; Luca Brunese; Emanuele Neri; Vittorio Miele; Lorenzo Faggioni
Journal:  Front Endocrinol (Lausanne)       Date:  2021-11-30       Impact factor: 5.555

Review 2.  [Artificial intelligence in image evaluation and diagnosis].

Authors:  Hans-Joachim Mentzel
Journal:  Monatsschr Kinderheilkd       Date:  2021-07-02       Impact factor: 0.323

  2 in total

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