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Automated detection of heuristics and biases among pathologists in a computer-based system
Journal article   Open access   Peer reviewed

Automated detection of heuristics and biases among pathologists in a computer-based system

Rebecca Crowley, Elizabeth Legowski, Olga Medvedeva, Kayse Reitmeyer, Eugene Tseytlin, Melissa Castine, Drazen Jukic and Claudia Mello-Thoms
Advances in health sciences education : theory and practice, Vol.18(3), pp.343-363
08/2013
DOI: 10.1007/s10459-012-9374-z
PMCID: PMC3728442
PMID: 22618855
url
https://doi.org/10.1007/s10459-012-9374-zView
Published (Version of record) Open Access

Abstract

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 errors. The authors conducted the study using a computer-based system to view and diagnose virtual slide cases. The software recorded participant responses throughout the diagnostic process, and automatically classified participant actions based on definitions of eight common heuristics and/or biases. The authors measured frequency of heuristic use and bias across three levels of training. Biases studied were detected at varying frequencies, with availability and search satisficing observed most frequently. There were few significant differences by level of training. For representativeness and anchoring, the heuristic was used appropriately as often or more often than it was used in biased judgment. Approximately half of the diagnostic errors were associated with one or more biases. We conclude that heuristic use and biases were observed among physicians at all levels of training using the virtual slide system, although their frequencies varied. The system can be employed to detect heuristic use and to test methods for decreasing diagnostic errors resulting from cognitive biases.
Clinical competence Diagnostic reasoning Pathology Biases Education Heuristics Educational technology Metacognition Diagnostic errors Medical Education Cognition

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