Medical students' cognitive load in volumetric image interpretation:Insights from human-computer interaction and eye movements

Medical image interpretation is moving from using 2D- to volumetric images, thereby changing the cognitive and perceptual processes involved. This is expected to affect medical students' experienced cognitive load, while learning image interpretation skills. With two studies this explorative research investigated whether measures inherent to image interpretation, i.e. human-computer interaction and eye tracking, relate to cognitive load. Subsequently, it investigated effects of volumetric image interpretation on second-year medical students' cognitive load. Study 1 measured human-computer interactions of participants during two volumetric image interpretation tasks. Using structural equation modelling, the latent variable 'volumetric image information' was identified from the data, which significantly predicted self-reported mental effort as a measure of cognitive load. Study 2 measured participants' eye movements during multiple 2D and volumetric image interpretation tasks. Multilevel analysis showed that time to locate a relevant structure in an image was significantly related to pupil dilation, as a proxy for cognitive load. It is discussed how combining human-computer interaction and eye tracking allows for comprehensive measurement of cognitive load. Combining such measures in a single model would allow for disentangling unique sources of cognitive load, leading to recommendations for implementation of volumetric image interpretation in the medical education curriculum

Юрій Іллєнко (1936–2010)

15 червня помер Юрій Іллєнко – кінематографіст Божою милістю, чия творчість давно стала класикою вітчизняного і світового кіно

Radiology education: a radiology curriculum for all medical students?

Diagnostic errors in radiology are frequent and can cause severe patient harm. Despite large performance differences between radiologists and non-radiology physicians, the latter often interpret medical images because electronic health records make images available throughout the hospital. Some people argue that non-radiologists should not diagnose medical images at all, and that medical school should focus on teaching ordering skills instead of image interpretation skills. We agree that teaching ordering skills is crucial as most physicians will need to order medical images in their professional life. However, we argue that the availability of medical images is so ubiquitous that it is important that non-radiologists are also trained in the basics of medical image interpretation and, additionally in recognizing when radiological consultancy should be sought. In acute situations, basic image interpretations skills can be life-saving. We plead for a radiology curriculum for all medical students. This should include the interpretation of common abnormalities on chest and skeletal radiographs and a basic distinction of normal from abnormal images. Furthermore, substantial attention should be given to the correct ordering of radiological images. Finally, it is critical that students are trained in deciding when to consult a radiologist

Radiology education: a radiology curriculum for all medical students?

Diagnostic errors in radiology are frequent and can cause severe patient harm. Despite large performance differences between radiologists and non-radiology physicians, the latter often interpret medical images because electronic health records make images available throughout the hospital. Some people argue that non-radiologists should not diagnose medical images at all, and that medical school should focus on teaching ordering skills instead of image interpretation skills. We agree that teaching ordering skills is crucial as most physicians will need to order medical images in their professional life. However, we argue that the availability of medical images is so ubiquitous that it is important that non-radiologists are also trained in the basics of medical image interpretation and, additionally in recognizing when radiological consultancy should be sought. In acute situations, basic image interpretations skills can be lifesaving. We plead for a radiology curriculum for all medical students. This should include the interpretation of common abnormalities on chest and skeletal radiographs and a basic distinction of normal from abnormal images. Furthermore, substantial attention should be given to the correct ordering of radiological images. Finally, it is critical that students are trained in deciding when to consult a radiologist

Radiology education: a radiology curriculum for all medical students?

Diagnostic errors in radiology are frequent and can cause severe patient harm. Despite large performance differences between radiologists and non-radiology physicians, the latter often interpret medical images because electronic health records make images available throughout the hospital. Some people argue that non-radiologists should not diagnose medical images at all, and that medical school should focus on teaching ordering skills instead of image interpretation skills. We agree that teaching ordering skills is crucial as most physicians will need to order medical images in their professional life. However, we argue that the availability of medical images is so ubiquitous that it is important that non-radiologists are also trained in the basics of medical image interpretation and, additionally in recognizing when radiological consultancy should be sought. In acute situations, basic image interpretations skills can be life-saving. We plead for a radiology curriculum for all medical students. This should include the interpretation of common abnormalities on chest and skeletal radiographs and a basic distinction of normal from abnormal images. Furthermore, substantial attention should be given to the correct ordering of radiological images. Finally, it is critical that students are trained in deciding when to consult a radiologist

Determinants of Difficulty and Discriminating Power of Image-based Test Items in Postgraduate Radiological Examinations

Rationale and Objectives: The psychometric characteristics of image-based test items in radiological written examinations are not well known. In this study, we explored difficulty and discriminating power of these test items in postgraduate radiological digital examinations. Materials and Methods: We reviewed test items of seven Dutch Radiology Progress Tests (DRPTs) that were taken from October 2013 to April 2017. The DRPT is a semiannual formative examination, required for all Dutch radiology residents. We assessed several stimulus and response characteristics of test items. The response format of test items included true or false, single right multiple choice with 2, 3, 4, or ≥5 answer options, pick-N multiple-choice, drag-and-drop, and long-list-menu formats. We calculated item P values and item-rest-correlation (Rir) values to assess difficulty and discriminating power. We performed linear regression analysis in image-based test items to investigate whether P and Rir values were significantly related to stimulus and response characteristics. Also, we compared psychometric indices between image-based test items and text-alone items. Results: P and Rir values of image-based items (n = 369) were significantly related to the type of response format (P < .001), and not to which of the seven DRPTs the item was obtained from, radiological subspecialty domain, nonvolumetric or volumetric character of images, or context-rich or context-free character of the stimulus. When accounted for type of response format, difficulty and discriminating power of image-based items did not differ significantly from text-alone items (n = 881). Test items with a relatively large number of answer options were generally more difficult, and discriminated better among high- and low-performing candidates. Conclusion: In postgraduate radiological written examinations, difficulty and discriminating power of image-based test items are related to the type of response format and are comparable to those of text-alone items. We recommend a response format with a relatively large number of answer options to optimize psychometric indices of radiological image-based test items