Literature DB >> 34327629

RadSimPE - a Radiology Workstation Simulator for Perceptual Education.

Soham Banerjee1, William F Auffermann2.   

Abstract

Recent studies have demonstrated the effectiveness of simulation in radiology perceptual education. While current software exists for perceptual research, these software packages are not optimized for inclusion of educational materials and do not have full integration for presentation of educational materials. To address this need, we created a user-friendly software application, RadSimPE. RadSimPE simulates a radiology workstation, displays radiology cases for quantitative assessment, and incorporates educational materials in one seamless software package. RadSimPE provides simple customizability for a variety of educational scenarios and saves results to quantitatively document changes in performance. We performed two perceptual education studies involving evaluation of central venous catheters: one using RadSimPE and the second using conventional software. Subjects in each study were divided into control and experimental groups. Performance before and after perceptual education was compared. Improved ability to classify a catheter as adequately positioned was demonstrated only in the RadSimPE experimental group. Additional quantitative performance metrics were similar for both the group using conventional software and the group using RadSimPE. The study proctors felt that it was qualitatively easier to run the RadSimPE session due to integration of educational material into the simulation software. In summary, we created a user-friendly and customizable simulated radiology workstation software package for perceptual education. Our pilot test using the software for central venous catheter assessment was a success and demonstrated effectiveness of our software in improving trainee performance.
© 2021. Society for Imaging Informatics in Medicine.

Entities:  

Keywords:  Education; Perception; Python; Simulation; Software

Mesh:

Year:  2021        PMID: 34327629      PMCID: PMC8455743          DOI: 10.1007/s10278-021-00489-4

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.903


  10 in total

1.  Teaching search patterns to medical trainees in an educational laboratory to improve perception of pulmonary nodules.

Authors:  William F Auffermann; Brent P Little; Srini Tridandapani
Journal:  J Med Imaging (Bellingham)       Date:  2015-11-06

2.  History of research in medical image perception.

Authors:  Harold L Kundel
Journal:  J Am Coll Radiol       Date:  2006-06       Impact factor: 5.532

3.  Simulation education in anesthesia training: a case report of successful resuscitation of bupivacaine-induced cardiac arrest linked to recent simulation training.

Authors:  Hugh M Smith; Adam K Jacob; Leal G Segura; John A Dilger; Laurence C Torsher
Journal:  Anesth Analg       Date:  2008-05       Impact factor: 5.108

4.  VIEWDEX: an efficient and easy-to-use software for observer performance studies.

Authors:  Markus Håkansson; Sune Svensson; Sara Zachrisson; Angelica Svalkvist; Magnus Båth; Lars Gunnar Månsson
Journal:  Radiat Prot Dosimetry       Date:  2010-03-03       Impact factor: 0.972

5.  Computerized realistic simulation: a teaching module for crisis management in radiology.

Authors:  G T Sica; D M Barron; R Blum; T H Frenna; D B Raemer
Journal:  AJR Am J Roentgenol       Date:  1999-02       Impact factor: 3.959

Review 6.  Intensive care unit imaging.

Authors:  Matthew R Bentz; Steven L Primack
Journal:  Clin Chest Med       Date:  2015-04-01       Impact factor: 2.878

7.  Understanding and Confronting Our Mistakes: The Epidemiology of Error in Radiology and Strategies for Error Reduction.

Authors:  Michael A Bruno; Eric A Walker; Hani H Abujudeh
Journal:  Radiographics       Date:  2015-10       Impact factor: 5.333

8.  Search pattern training for evaluation of central venous catheter positioning on chest radiographs.

Authors:  William F Auffermann; Elizabeth A Krupinski; Srini Tridandapani
Journal:  J Med Imaging (Bellingham)       Date:  2018-03-15

Review 9.  Review of Simulation Training in Interventional Radiology.

Authors:  Souzan Mirza; Sriharsha Athreya
Journal:  Acad Radiol       Date:  2017-12-06       Impact factor: 3.173

Review 10.  Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review.

Authors:  S Barry Issenberg; William C McGaghie; Emil R Petrusa; David Lee Gordon; Ross J Scalese
Journal:  Med Teach       Date:  2005-01       Impact factor: 3.650

  10 in total

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