Some Heuristics, Biases, and Thinking Mistakes

Abstract

This chapter delves into the specific heuristics, biases, and cognitive errors that often arise during decision-making processes in healthcare. It explores how specific mental shortcuts can lead to inconsistencies and irrationalities. Key concepts include statistical evaluation errors, such as the base rate fallacy and the law of large numbers, and causal inference issues like regression to the mean and omitted variables. This chapter also covers common cognitive biases, such as confirmation bias, optimism bias, action bias, halo effect, overdiagnosis, etc., which influence medical professionals and patients in interpreting information and deciding. Recognition of such biases can enhance medical decision outcomes as well as improving the communication between stakeholders.

Citation

Yıldırım, A. (2024), "Some Heuristics, Biases, and Thinking Mistakes", Behavioral Economics in Healthcare, Emerald Publishing Limited, Leeds, pp. 41-71. https://doi.org/10.1108/978-1-83662-080-820241003