Abstract

A novel software, DiffTool, was developed in-house to keep track of changes made by board-certified radiologists to preliminary reports created by residents and evaluate its impact on radiological hands-on training. Before (t0) and after (t2−4) the deployment of the software, 18 residents (median age: 29 years; 33% female) completed a standardized questionnaire on professional training. At t2−4 the participants were also requested to respond to three additional questions to evaluate the software. Responses were recorded via a six-point Likert scale ranging from 1 (“strongly agree”) to 6 (“strongly disagree”). Prior to the release of the software, 39% (7/18) of the residents strongly agreed with the statement that they manually tracked changes made by board-certified radiologists to each of their radiological reports while 61% were less inclined to agree with that statement. At t2−4, 61% (11/18) stated that they used DiffTool to track differences. Furthermore, we observed an increase from 33% (6/18) to 44% (8/18) of residents who agreed to the statement “I profit from every corrected report”. The DiffTool was well accepted among residents with a regular user base of 72% (13/18), while 78% (14/18) considered it a relevant improvement to their training. The results of this study demonstrate the importance of providing a time-efficient way to analyze changes made to preliminary reports as an additive for professional training.

Details

Title
The importance of educational tools and a new software solution for visualizing and quantifying report correction in radiology training
Author
Salhöfer, Luca 1 ; Haubold, Johannes 1 ; Gutt, Maurice 2 ; Hosch, René 3 ; Umutlu, Lale 4 ; Meetschen, Mathias 1 ; Schuessler, Maximilian 1 ; Forsting, Michael 4 ; Nensa, Felix 1 ; Schaarschmidt, Benedikt Michael 4 

 University Hospital Essen, Institute of Diagnostic and Interventional Radiology and Neuroradiology, Essen, Germany (GRID:grid.410718.b) (ISNI:0000 0001 0262 7331); University Hospital Essen, Institute for Artificial Intelligence in Medicine, Essen, Germany (GRID:grid.410718.b) (ISNI:0000 0001 0262 7331) 
 University Hospital Essen, Central IT Services, Essen, Germany (GRID:grid.410718.b) (ISNI:0000 0001 0262 7331) 
 University Hospital Essen, Institute for Artificial Intelligence in Medicine, Essen, Germany (GRID:grid.410718.b) (ISNI:0000 0001 0262 7331) 
 University Hospital Essen, Institute of Diagnostic and Interventional Radiology and Neuroradiology, Essen, Germany (GRID:grid.410718.b) (ISNI:0000 0001 0262 7331) 
Pages
1172
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2913580981
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.