Literature DB >> 32997178

Revealing the most common reporting errors through data mining of the report proofreading process.

Jan Vosshenrich1, Ivan Nesic2, Joshy Cyriac2, Daniel T Boll2, Elmar M Merkle2, Tobias Heye2.   

Abstract

OBJECTIVES: To investigate the most common errors in residents' preliminary reports, if structured reporting impacts error types and frequencies, and to identify possible implications for resident education and patient safety.
MATERIAL AND METHODS: Changes in report content were tracked by a report comparison tool on a word level and extracted for 78,625 radiology reports dictated from September 2017 to December 2018 in our department. Following data aggregation according to word stems and stratification by subspecialty (e.g., neuroradiology) and imaging modality, frequencies of additions/deletions were analyzed for findings and impression report section separately and compared between subgroups.
RESULTS: Overall modifications per report averaged 4.1 words, with demonstrably higher amounts of changes for cross-sectional imaging (CT: 6.4; MRI: 6.7) than non-cross-sectional imaging (radiographs: 0.2; ultrasound: 2.8). The four most frequently changed words (right, left, one, and none) remained almost similar among all subgroups (range: 0.072-0.117 per report; once every 9-14 reports). Albeit representing only 0.02% of analyzed words, they accounted for up to 9.7% of all observed changes. Subspecialties solely using structured reporting had substantially lower change ratios in the findings report section (mean: 0.2 per report) compared with prose-style reporting subspecialties (mean: 2.0). Relative frequencies of the most changed words remained unchanged.
CONCLUSION: Residents' most common reporting errors in all subspecialties and modalities are laterality discriminator confusions (left/right) and unnoticed descriptor misregistration by speech recognition (one/none). Structured reporting reduces overall error rates, but does not affect occurrence of the most common errors. Increased error awareness and measures improving report correctness and ensuring patient safety are required. KEY POINTS: • The two most common reporting errors in residents' preliminary reports are laterality discriminator confusions (left/right) and unnoticed descriptor misregistration by speech recognition (one/none). • Structured reporting reduces the overall the error frequency in the findings report section by a factor of 10 (structured reporting: mean 0.2 per report; prose-style reporting: 2.0) but does not affect the occurrence of the two major errors. • Staff radiologist review behavior noticeably differs between radiology subspecialties.

Entities:  

Keywords:  Education; Medical errors; Patient safety; Report; Residency

Mesh:

Year:  2020        PMID: 32997178      PMCID: PMC7979672          DOI: 10.1007/s00330-020-07306-6

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  11 in total

1.  Syntactic and semantic errors in radiology reports associated with speech recognition software.

Authors:  Michael D Ringler; Brian C Goss; Brian J Bartholmai
Journal:  Health Informatics J       Date:  2016-07-26       Impact factor: 2.681

2.  Comparison-Bot: an Automated Preliminary-Final Report Comparison System.

Authors:  Amit D Kalaria; Ross W Filice
Journal:  J Digit Imaging       Date:  2016-06       Impact factor: 4.056

3.  Trainee report dashboard: tool for enhancing feedback to radiology trainees about their reports.

Authors:  Richard J T Gorniak; Adam E Flanders; Richard E Sharpe
Journal:  Radiographics       Date:  2013-08-26       Impact factor: 5.333

4.  Improving Radiology Report Quality by Rapidly Notifying Radiologist of Report Errors.

Authors:  Matthew J Minn; Arash R Zandieh; Ross W Filice
Journal:  J Digit Imaging       Date:  2015-08       Impact factor: 4.056

5.  Detection and Correction of Laterality Errors in Radiology Reports.

Authors:  Young Han Lee; Jaemoon Yang; Jin-Suck Suh
Journal:  J Digit Imaging       Date:  2015-08       Impact factor: 4.056

6.  "Mock before you block": an in-built action-check to prevent wrong-side anaesthetic nerve blocks.

Authors:  J J Pandit; J Matthews; M Pandit
Journal:  Anaesthesia       Date:  2016-10-07       Impact factor: 6.955

7.  Efficacy of a checklist-style structured radiology reporting template in reducing resident misses on cervical spine computed tomography examinations.

Authors:  Eaton Lin; Daniel K Powell; Nolan J Kagetsu
Journal:  J Digit Imaging       Date:  2014-10       Impact factor: 4.056

8.  Difficulties in right-left discrimination in a normal population.

Authors:  S M Wolf
Journal:  Arch Neurol       Date:  1973-08

9.  Minimizing Barriers in Learning for On-Call Radiology Residents-End-to-End Web-Based Resident Feedback System.

Authors:  Hailey H Choi; Jennifer Clark; Ann K Jay; Ross W Filice
Journal:  J Digit Imaging       Date:  2018-02       Impact factor: 4.056

10.  Extra-spinal incidental findings at lumbar spine MRI in the general population: a large cohort study.

Authors:  Carlo Cosimo Quattrocchi; Alessandro Giona; Alberto Corrado Di Martino; Yuri Errante; Laura Scarciolla; Carlo Augusto Mallio; Vincenzo Denaro; Bruno Beomonte Zobel
Journal:  Insights Imaging       Date:  2013-03-02
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  1 in total

1.  State-of-the-art CT and MR imaging and assessment of atherosclerotic carotid artery disease: the reporting-a consensus document by the European Society of Cardiovascular Radiology (ESCR).

Authors:  L Saba; C Loewe; T Weikert; M C Williams; N Galea; R P J Budde; R Vliegenthart; B K Velthuis; M Francone; J Bremerich; L Natale; K Nikolaou; J N Dacher; C Peebles; F Caobelli; A Redheuil; M Dewey; K F Kreitner; R Salgado
Journal:  Eur Radiol       Date:  2022-10-04       Impact factor: 7.034

  1 in total

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