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A new model for categorizing cognitive biases and debiasing strategies in dermatology
Rohan I Yesudian1, Paul D Yesudian2
1Department of Medicine, University of Cambridge, Cambridge, UK.
Abstract:
Cognitive biases are a significant cause of medical error. They arise from "system 1" thinking, which depends on heuristics to make quick decisions in complex situations. Heuristics make us "predictably irrational," distorting our ability to accurately assess probabilities in clinical scenarios. It is well reported in the literature that metacognition, the art of reflecting on one's thought processes, is the optimal way to deal with cognitive biases. However, it is unclear how this can be consistently implemented in dermatological practice. Our debiasing attempts thus far have been sporadic at best. This article categorizes important cognitive biases according to each stage of the doctor-patient interaction (history taking, clinical examination, investigations, diagnosis, and management). We hope that providing this clinically relevant framework can foster metacognition and a platform for algorithmic debiasing. This will enable us to engage "system 2" (analytical thinking) in a targeted way, thereby avoiding excessive cognitive load. Organization-level interventions should also be implemented to free up the cognitive capacity of an individual and to enable them to employ system 2 thinking more regularly.
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