Literature DB >> 25442793

State of structured reporting in radiology, a survey.

Daniel K Powell1, James E Silberzweig2.   

Abstract

RATIONALE AND
OBJECTIVES: To survey North American radiologists on current practices in structured reporting and language.
MATERIALS AND METHODS: An e-mail invitation was sent to the Association of University Radiologists membership (comprising 910 members) to participate in an online survey that addressed development, use, and experience of structured reporting, language, and imaging classification or reporting systems and personal dictation styles.
RESULTS: Of the 910 members e-mailed, 265 (29.1%) responded, 90.6% of whom were from academic teaching hospitals. There were no significant differences in responses based on group size or region of practice. Of all the respondents, 51.3% come from groups that developed structured reporting for at least half of their reports and only 10.9% for none. A significantly fewer 13% of respondents used rigid unmodifiable structures or checklists rather than adaptable outlines; 59.5% respondents report being satisfied or very satisfied with their structured reports, whereas a significantly fewer 13% report being dissatisfied or very dissatisfied. Structured reports were reportedly significantly more likely to be required, appreciated, and to decrease errors in departments using many structured reports compared to groups with less widespread use.
CONCLUSIONS: Most academic radiology departments are using or experimenting with structured reports. Although radiologist satisfaction with standardization is significant, there are strong opinions about their limitations and value. Our survey suggests that North American radiologists are invested in exploring structured reporting and will hopefully inform future study on how we define a standard report and how much we can centralize this process.
Copyright © 2015 AUR. Published by Elsevier Inc. All rights reserved.

Keywords:  Structured reporting; national standards; reporting systems; reporting templates; standardized language

Mesh:

Year:  2014        PMID: 25442793     DOI: 10.1016/j.acra.2014.08.014

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  23 in total

Review 1.  Does standardised structured reporting contribute to quality in diagnostic pathology? The importance of evidence-based datasets.

Authors:  D W Ellis; J Srigley
Journal:  Virchows Arch       Date:  2015-08-28       Impact factor: 4.064

2.  Conversion of Radiology Reporting Templates to the MRRT Standard.

Authors:  Charles E Kahn; Brad Genereaux; Curtis P Langlotz
Journal:  J Digit Imaging       Date:  2015-10       Impact factor: 4.056

Review 3.  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

4.  Structured reporting of MRI of the shoulder - improvement of report quality?

Authors:  Sebastian Gassenmaier; Marco Armbruster; Florian Haasters; Tobias Helfen; Thomas Henzler; Sedat Alibek; Dominik Pförringer; Wieland H Sommer; Nora N Sommer
Journal:  Eur Radiol       Date:  2017-03-13       Impact factor: 5.315

5.  Emergency medicine summary code for reporting CT scan results: implementation and survey results.

Authors:  Joanne Lam; Ryan Coughlin; Luce Buhl; Meghan Herbst; Timothy Herbst; Jared Martillotti; Bret Coughlin
Journal:  Emerg Radiol       Date:  2018-02-07

6.  Radiologist Productivity Analytics: Factors Impacting Abdominal Pelvic CT Exam Reporting Times.

Authors:  Amar Udare; Minu Agarwal; Kiret Dhindsa; Amer Alaref; Michael Patlas; Abdullah Alabousi; Yoan K Kagoma; Christian B van der Pol
Journal:  J Digit Imaging       Date:  2022-01-10       Impact factor: 4.056

7.  Does Second Reader Opinion Affect Patient Management in Pancreatic Ductal Adenocarcinoma?

Authors:  Giuseppe Corrias; Sandra Huicochea Castellanos; Ryan Merkow; Russel Langan; Vinod Balachandran; Monica Ragucci; Gabriella Carollo; Marcello Mancini; Luca Saba; Lorenzo Mannelli
Journal:  Acad Radiol       Date:  2018-01-17       Impact factor: 3.173

8.  Breast Imaging in the Era of Big Data: Structured Reporting and Data Mining.

Authors:  Laurie R Margolies; Gaurav Pandey; Eliot R Horowitz; David S Mendelson
Journal:  AJR Am J Roentgenol       Date:  2015-11-20       Impact factor: 3.959

Review 9.  Evidence-Based Cancer Imaging.

Authors:  Atul B Shinagare; Ramin Khorasani
Journal:  Korean J Radiol       Date:  2017-01-05       Impact factor: 3.500

10.  Structured reporting for fibrosing lung disease: a model shared by radiologist and pulmonologist.

Authors:  Nicola Sverzellati; Anna Odone; Mario Silva; Roberta Polverosi; Carlo Florio; Luciano Cardinale; Giancarlo Cortese; Giancarlo Addonisio; Maurizio Zompatori; Giorgia Dalpiaz; Sara Piciucchi; Anna Rita Larici
Journal:  Radiol Med       Date:  2017-12-11       Impact factor: 3.469

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