Literature DB >> 21249419

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

Jason N Itri1, Woojin Kim, Mary H Scanlon.   

Abstract

Radiology residency and fellowship training provides a unique opportunity to evaluate trainee performance and determine the impact of various educational interventions. We have developed a simple software application (Orion) using open-source tools to facilitate the identification and monitoring of resident and fellow discrepancies in on-call preliminary reports. Over a 6-month period, 19,200 on-call studies were interpreted by 20 radiology residents, and 13,953 on-call studies were interpreted by 25 board-certified radiology fellows representing eight subspecialties. Using standard review macros during faculty interpretation, each of these reports was classified as "agreement", "minor discrepancy", and "major discrepancy" based on the potential to impact patient management or outcome. Major discrepancy rates were used to establish benchmarks for resident and fellow performance by year of training, modality, and subspecialty, and to identify residents and fellows demonstrating a significantly higher major discrepancy rate compared with their classmates. Trends in discrepancies were used to identify subspecialty-specific areas of increased major discrepancy rates in an effort to tailor the didactic and case-based curriculum. A series of missed-case conferences were developed based on trends in discrepancies, and the impact of these conferences is currently being evaluated. Orion is a powerful information technology tool that can be used by residency program directors, fellowship programs directors, residents, and fellows to improve radiology education and training.

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Year:  2011        PMID: 21249419      PMCID: PMC3180545          DOI: 10.1007/s10278-011-9360-7

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


  10 in total

1.  Preliminary interpretations of after-hours CT and sonography by radiology residents versus final interpretations by body imaging radiologists at a level 1 trauma center.

Authors:  Erin Carney; Jeffrey Kempf; Victor DeCarvalho; Anthony Yudd; John Nosher
Journal:  AJR Am J Roentgenol       Date:  2003-08       Impact factor: 3.959

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.  Discrepancies in interpretation of ED body computed tomographic scans by radiology residents.

Authors:  Nelson Tieng; Diana Grinberg; Siu Fai Li
Journal:  Am J Emerg Med       Date:  2007-01       Impact factor: 2.469

4.  Preliminary radiology resident interpretations versus final attending radiologist interpretations and the impact on patient care in a community hospital.

Authors:  Richard B Ruchman; Joseph Jaeger; Ernest F Wiggins; Syndi Seinfeld; Vikas Thakral; Sudha Bolla; Sara Wallach
Journal:  AJR Am J Roentgenol       Date:  2007-09       Impact factor: 3.959

5.  The DePICTORS Study: discrepancies in preliminary interpretation of CT scans between on-call residents and staff.

Authors:  Jessica Walls; Natalie Hunter; Penelope M A Brasher; Stephen G F Ho
Journal:  Emerg Radiol       Date:  2009-01-29

6.  Radiology resident interpretations of on-call imaging studies: the incidence of major discrepancies.

Authors:  Victoria F Cooper; Lori A Goodhartz; Albert A Nemcek; Robert K Ryu
Journal:  Acad Radiol       Date:  2008-09       Impact factor: 3.173

7.  Discrepancy rates of on-call radiology residents' interpretations of CT angiography studies of the neck and circle of Willis.

Authors:  Russell E Meyer; Joshua P Nickerson; Heather N Burbank; Gary F Alsofrom; Grant J Linnell; Christopher G Filippi
Journal:  AJR Am J Roentgenol       Date:  2009-08       Impact factor: 3.959

8.  Head trauma: CT scan interpretation by radiology residents versus staff radiologists.

Authors:  M G Wysoki; C J Nassar; R A Koenigsberg; R A Novelline; S H Faro; E N Faerber
Journal:  Radiology       Date:  1998-07       Impact factor: 11.105

9.  Radiology resident evaluation of head CT scan orders in the emergency department.

Authors:  William K Erly; William G Berger; Elizabeth Krupinski; Joachim F Seeger; John A Guisto
Journal:  AJNR Am J Neuroradiol       Date:  2002-01       Impact factor: 3.825

10.  Effects of training and experience in interpretation of emergency body CT scans.

Authors:  R J Wechsler; C M Spettell; A B Kurtz; A S Lev-Toaff; E J Halpern; L N Nazarian; R I Feld; L Needleman; A A Alexander
Journal:  Radiology       Date:  1996-06       Impact factor: 11.105

  10 in total
  5 in total

1.  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

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.  Milestones on a Shoestring: A Cost-Effective, Semi-automated Implementation of the New ACGME Requirements for Radiology.

Authors:  J Eric Schmitt; Mary H Scanlon; Sabah Servaes; Dayna Levin; Tessa S Cook
Journal:  Acad Radiol       Date:  2015-04-24       Impact factor: 3.173

4.  Evaluation of neuroradiology emergency MRI interpretations: low discrepancy rates between on-call radiology residents' preliminary interpretations and neuroradiologists' final reports.

Authors:  Diana Salca; François Lersy; Thibault Willaume; Marie Stoessel; Agnieszka Lefèvre; François-Daniel Ardellier; Caroline Nicolaï; Abtine Nouri; Seyyid Baloglu; Guillaume Bierry; Agathe Chammas; Stéphane Kremer
Journal:  Eur Radiol       Date:  2022-04-18       Impact factor: 7.034

5.  QRSE: a novel metric for the evaluation of trainee radiologist reporting skills.

Authors:  David Surrey; Richard E Sharpe; Richard J T Gorniak; Levon N Nazarian; Vijay M Rao; Adam E Flanders
Journal:  J Digit Imaging       Date:  2013-08       Impact factor: 4.056

  5 in total

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