Literature DB >> 26537931

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

Amit D Kalaria1, Ross W Filice2.   

Abstract

Regular comparison of preliminary to final reports is a critical part of radiology resident and fellow education as prior research has documented substantial preliminary to final discrepancies. Unfortunately, there are many barriers to this comparison: high study volume; overnight rotations without an attending; the ability to finalize reports remotely; the subtle nature of many changes; and lack of easy access to the preliminary report after finalization. We developed a system that automatically compiles and emails a weekly summary of report differences for all residents and fellows. Trainees can also create a custom report using a date range of their choice and can view this data on a resident dashboard. Differences between preliminary and final reports are clearly highlighted with links to the associated study in Picture Archiving and Communication Systems (PACS) for efficient review and learning. Reports with more changes, particularly changes made in the impression, are highlighted to focus attention on those exams with substantive edits. Our system provides an easy way for trainees to review changes to preliminary reports with immediate access to the associated images, thereby improving their educational experience. Departmental surveys showed that our report difference summary is easy to understand and improves the educational experience of our trainees. Additionally, interesting descriptive statistics help us understand how reports are changed by trainee level, by attending, and by exam type. Finally, this system can be easily ported to other departments who have access to their Health Level 7 (HL7) data.

Keywords:  Automated feedback; Health Level 7 (HL7); Internship and residency; Interpretation errors; Medical education; Medical informatics applications; Performance measurement; Quality assurance; Radiology information systems; Radiology reporting; Radiology workflow; Resident-attending discrepancy

Mesh:

Year:  2016        PMID: 26537931      PMCID: PMC4879030          DOI: 10.1007/s10278-015-9840-2

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  7 in total

1.  Radiology Report Comparator: a novel method to augment resident education.

Authors:  Richard E Sharpe; David Surrey; Richard J T Gorniak; Levon Nazarian; Vijay M Rao; Adam E Flanders
Journal:  J Digit Imaging       Date:  2012-06       Impact factor: 4.056

2.  Using a web-based application to enhance resident training and improve performance on-call.

Authors:  Jason N Itri; Regina O Redfern; Mary H Scanlon
Journal:  Acad Radiol       Date:  2010-05-05       Impact factor: 3.173

3.  Orion: a web-based application designed to monitor resident and fellow performance on-call.

Authors:  Jason N Itri; Woojin Kim; Mary H Scanlon
Journal:  J Digit Imaging       Date:  2011-10       Impact factor: 4.056

4.  Identifying benchmarks for discrepancy rates in preliminary interpretations provided by radiology trainees at an academic institution.

Authors:  Alexander T Ruutiainen; Mary H Scanlon; Jason N Itri
Journal:  J Am Coll Radiol       Date:  2011-09       Impact factor: 5.532

5.  Increased error rates in preliminary reports issued by radiology residents working more than 10 consecutive hours overnight.

Authors:  Alexander T Ruutiainen; Daniel J Durand; Mary H Scanlon; Jason N Itri
Journal:  Acad Radiol       Date:  2013-03       Impact factor: 3.173

6.  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

7.  The discrepancy rate between preliminary and official reports of emergency radiology studies: a performance indicator and quality improvement method.

Authors:  Ghada Issa; Bedros Taslakian; Malak Itani; Eveline Hitti; Nicholas Batley; Miriam Saliba; Fadi El-Merhi
Journal:  Acta Radiol       Date:  2014-05-15       Impact factor: 1.990

  7 in total
  3 in total

1.  PathBot: A Radiology-Pathology Correlation Dashboard.

Authors:  Linda C Kelahan; Amit D Kalaria; Ross W Filice
Journal:  J Digit Imaging       Date:  2017-12       Impact factor: 4.056

2.  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

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

Authors:  Jan Vosshenrich; Ivan Nesic; Joshy Cyriac; Daniel T Boll; Elmar M Merkle; Tobias Heye
Journal:  Eur Radiol       Date:  2020-09-30       Impact factor: 5.315

  3 in total

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