2019
DOI: 10.1136/bmjqs-2018-009078
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Bridging the gap between uncertainty, confidence and diagnostic accuracy: calibration is key

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Cited by 38 publications
(47 citation statements)
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References 29 publications
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“…In other domains of medicine, such as dermatology and radiology where diagnosis depends on a visual analysis, it has been shown that diagnostic uncertainty decreases with experience. [62][63][64][65] Our work con rms that this is also true for Electrocardiography, whether conventional or blended learning strategies are used. However, students who engaged in blended ECG learning activities achieved better diagnostic accuracy for topics for which there was initial diagnostic uncertainty.…”
Section: Discussionsupporting
confidence: 63%
“…In other domains of medicine, such as dermatology and radiology where diagnosis depends on a visual analysis, it has been shown that diagnostic uncertainty decreases with experience. [62][63][64][65] Our work con rms that this is also true for Electrocardiography, whether conventional or blended learning strategies are used. However, students who engaged in blended ECG learning activities achieved better diagnostic accuracy for topics for which there was initial diagnostic uncertainty.…”
Section: Discussionsupporting
confidence: 63%
“…In other domains of Medicine, such as Dermatology and Radiology where diagnosis depends on a visual analysis, it had been shown that diagnostic uncertainty decreases with experience. [50][51][52][53] Our work con rms that this is also true for Electrocardiography, whether conventional or blended learning strategies are used. However, students who engaged in blended ECG learning activities achieved better diagnostic accuracy for topics for which there was initial diagnostic uncertainty.…”
Section: Discussionsupporting
confidence: 63%
“…In other domains of medicine, such as dermatology and radiology, where diagnosis also depends on a visual analysis, it has been shown that diagnostic uncertainty decreases with experience [63][64][65][66]. Our work confirms that this is true for Electrocardiography as well, whether conventional or blended learning strategies are used.…”
supporting
confidence: 82%