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Increasing Authenticity of Simulation-Based Assessment in Diagnostic Radiology

Authors :
Christian P. Mol
Mario Maas
Jan P. J. van Schaik
Corinne A. Tipker
Olle ten Cate
Kim de Crom
Anouk van der Gijp
Koen L. Vincken
Cécile J. Ravesloot
Dik R. Rutgers
Marieke van der Schaaf
Irene C. van der Schaaf
Amsterdam Gastroenterology Endocrinology Metabolism
Amsterdam Movement Sciences
Radiology and Nuclear Medicine
Source :
Simulation in healthcare, 12(6), 377-384. Lippincott Williams and Wilkins, Simulation in Healthcare, 12(6), 377. Lippincott Williams and Wilkins
Publication Year :
2017
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2017.

Abstract

INTRODUCTION: Clinical reasoning in diagnostic imaging professions is a complex skill that requires processing of visual information and image manipulation skills. We developed a digital simulation-based test method to increase authenticity of image interpretation skill assessment. METHODS: A digital application, allowing volumetric image viewing and manipulation, was used for three test administrations of the national Dutch Radiology Progress Test for residents. This study describes the development and implementation process in three phases. To assess authenticity of the digital tests, perceived image quality and correspondence to clinical practice were evaluated and compared with previous paper-based tests (PTs). Quantitative and qualitative evaluation results were used to improve subsequent tests. RESULTS: Authenticity of the first digital test was not rated higher than the PTs. Test characteristics and environmental conditions, such as image manipulation options and ambient lighting, were optimized based on participants' comments. After adjustments in the third digital test, participants favored the image quality and clinical correspondence of the digital image questions over paper-based image questions. CONCLUSIONS: Digital simulations can increase authenticity of diagnostic radiology assessments compared with paper-based testing. However, authenticity does not necessarily increase with higher fidelity. It can be challenging to simulate the image interpretation task of clinical practice in a large-scale assessment setting, because of technological limitations. Optimizing image manipulation options, the level of ambient light, time limits, and question types can help improve authenticity of simulation-based radiology assessments.

Details

ISSN :
15592332
Database :
OpenAIRE
Journal :
Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare
Accession number :
edsair.doi.dedup.....7edae2e718d6ff9b1894f5c05ce3a947
Full Text :
https://doi.org/10.1097/sih.0000000000000278