Paper
17 February 2012 On the development of expertise in interpreting medical images
Author Affiliations +
Proceedings Volume 8291, Human Vision and Electronic Imaging XVII; 82910R (2012) https://doi.org/10.1117/12.916454
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
Abstract
Medical images represent a core portion of the information clinicians utilize to render diagnostic and treatment decisions. Fundamentally, viewing a medical image involves two basic processes - visually inspecting the image (visual perception) and rendering an interpretation (cognition). The interpretation is often followed by a recommendation. The likelihood of error in the interpretation of medical images is unfortunately not negligible. Errors occur and patients' lives are impacted. Thus we need to understand how clinicians interact with the information in an image during the interpretation process. We also need to understand how clinicians develop expertise throughout their careers and why some people are better at interpreting medical images than others. If we can better understand how expertise develops, perhaps we can develop better training programs, incorporate more effective ways of teaching image interpretation into the medical school and residency curriculums, and create new tools that would enhance and perhaps speed up the learning process. With improved understanding we can also develop ways to further improve decision-making in general and at every level of the medical imaging profession, thus improving patient care. The science of medical image perception is dedicated to understanding and improving the clinical interpretation process.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Elizabeth A. Krupinsky "On the development of expertise in interpreting medical images", Proc. SPIE 8291, Human Vision and Electronic Imaging XVII, 82910R (17 February 2012); https://doi.org/10.1117/12.916454
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Medical imaging

Image processing

Diagnostics

Visualization

Pathology

Radiology

Optical inspection

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