Kayse Reitmeyer

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The purpose of this study is threefold: (1) to develop an automated, computer-based method to detect heuristics and biases as pathologists examine virtual slide cases, (2) to measure the frequency and distribution of heuristics and errors across three levels of training, and (3) to examine relationships of heuristics to biases, and biases to diagnostic(More)
In this study, we examined the effect of two metacognitive scaffolds on the accuracy of confidence judgments made while diagnosing dermatopathology slides in SlideTutor. Thirty-one (N = 31) first- to fourth-year pathology and dermatology residents were randomly assigned to one of the two scaffolding conditions. The cases used in this study were selected(More)
Diagnostic classification is an important part of clinical care, which is often the main determinant of treatment and prognosis. Clinicians’ underor over-confidence in their performance on diagnostic tasks can result in diagnostic errors which can lead to delay in appropriate treatment and unnecessary increase in the cost of medical care. This paper(More)
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