Literature DB >> 20630384

Radiology report clarity: a cohort study of structured reporting compared with conventional dictation.

Annette J Johnson1, Michael Y M Chen, Michael E Zapadka, Eric M Lyders, Benjamin Littenberg.   

Abstract

PURPOSE: The aim of this study was to determine if radiology residents who use a structured reporting system (SRS) produce reports of greater clarity than residents who use free-text dictation to report cranial MR imaging in patients with clinical suspicion of stroke.
METHODS: This double-cohort study included residents creating reports for 25 cranial MR imaging studies using an SRS in the intervention group and free text in the control group (report n = 1,685). Attending physicians from multiple subspecialties were surveyed seeking clarity ratings of randomly selected reports. Two neuroradiology fellows rated the clarity of 180 of the reports. Clarity ratings were analyzed by using Wilcoxon's signed-rank test for paired data and the Mann-Whitney U test for unpaired data.
RESULTS: Forty-three of 95 surveyed physicians returned completed surveys, with mean clarity ratings for SRS (4.9) and free-text (5.1) reports that did not differ significantly. Respondents' comments most often referred to confusing syntax, unfamiliar terms, or format preferences. Fellow raters rated the clarity of SRS reports lower than that of free-text reports (P < .001).
CONCLUSIONS: The use of an SRS to create MRI reports did not seem to improve or worsen attending physicians' perceptions of report clarity. Experience level may affect clarity-related report preferences. Future SRS should probably include definitions of key terms and be formatted to minimize syntactical errors. Copyright 2010 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20630384     DOI: 10.1016/j.jacr.2010.02.008

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  19 in total

1.  Influence of radiology report format on reading time and comprehension.

Authors:  Elizabeth A Krupinski; E Tyler Hall; Stacy Jaw; Bruce Reiner; Eliot Siegel
Journal:  J Digit Imaging       Date:  2012-02       Impact factor: 4.056

2.  Is there a need to standardize reporting terminology in appendicitis?

Authors:  Benjamin David Godwin; Vlad Valentin Simianu; Frederick Thurston Drake; Manjiri Dighe; David Flum; Puneet Bhargava
Journal:  Ultrasound Q       Date:  2015-06       Impact factor: 1.657

3.  Objective Comparison Using Guideline-based Query of Conventional Radiological Reports and Structured Reports.

Authors:  Máté E Maros; Ralf Wenz; Alex Förster; Matthias F Froelich; Christoph Groden; Wieland H Sommer; Stefan O Schönberg; Thomas Henzler; Holger Wenz
Journal:  In Vivo       Date:  2018 Jul-Aug       Impact factor: 2.155

4.  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

5.  Informatics in radiology: improving clinical work flow through an AIM database: a sample web-based lesion tracking application.

Authors:  Aaron C Abajian; Mia Levy; Daniel L Rubin
Journal:  Radiographics       Date:  2012-06-27       Impact factor: 5.333

6.  Method of electronic health record documentation and quality of primary care.

Authors:  Jeffrey A Linder; Jeffrey L Schnipper; Blackford Middleton
Journal:  J Am Med Inform Assoc       Date:  2012-05-19       Impact factor: 4.497

7.  Carotid artery stenosis: wide variability in reporting formats--a review of 127 Veterans Affairs medical centers.

Authors:  Eric M Cheng; Dawn M Bravata; Suzie El-Saden; Stefanie D Vassar; Susan Ofner; Linda S Williams; Salomeh Keyhani
Journal:  Radiology       Date:  2012-11-09       Impact factor: 11.105

8.  A default normal chest CT structured reporting field for coronary calcifications does not cause excessive false-negative reporting.

Authors:  William R Walter; Shlomit Goldberg-Stein; Jeffrey M Levsky; Hillel W Cohen; Meir H Scheinfeld
Journal:  J Am Coll Radiol       Date:  2015-05-16       Impact factor: 5.532

Review 9.  Artificial intelligence in radiology.

Authors:  Ahmed Hosny; Chintan Parmar; John Quackenbush; Lawrence H Schwartz; Hugo J W L Aerts
Journal:  Nat Rev Cancer       Date:  2018-08       Impact factor: 60.716

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

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