Article Gold Open Access 2017

Increasing authenticity of simulation-based assessment in diagnostic radiology

Simulation in Healthcare
Journal · Vol. 12 · Issue 6 · pp. 377-384
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. © © 2017 Society for Simulation in Healthcare.

Keywords

Author Keywords

Radiology Clinical reasoning Medical images Simulation-based assessments

Index Keywords

human medical education procedures Humans Internship and Residency education program evaluation Educational Measurement organization and management Program development pilot study simulation training Pilot Projects radiology clinical decision making Clinical Decision-Making
Author Affiliations
Department of Education, Universiteit Utrecht, Utrecht, Netherlands
Center for Research and Development of Education, University Medical Center Utrecht, Utrecht, Netherlands
Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
Department of Radiology, Amsterdam UMC - University of Amsterdam, Amsterdam, Noord-Holland, Netherlands
Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands, Examination Committee, Institute of the Netherlands, Utrecht, Netherlands
Funding & Acknowledgements
Kansas State University Research Foundation, KSURF
Supported by SURF, the higher education and research partnership organization for Information and Communications Technology. For more information about SURF, please visit www.surf.nl.
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