Cognitive Biases and Heuristics in Medical Decision Making

By Jennifer Blumenthal-Barby, Heather Krieger. Medical decision making, 2015

436 citations recorded by the source corpus.

Subfields: Emergency Medical Services, Family Practice, General Health Professions

View Paper: https://www.semanticscholar.org/paper/551abc8d8f680b80b8b499d4bd6bc3bc7eb15cba

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Emergency Medical Services

1. Zana Buçinca
2. Krzysztof Z Gajos

In Family Practice

1. Zana Buçinca
2. Krzysztof Z Gajos
3. Christian C. Ruff
4. Philippe N. Tobler
5. Donald A. Redelmeier
6. Gustavo Saposnik

In General Health Professions

1. Zana Buçinca
2. Krzysztof Z Gajos

Citations in the corpus

• Proxy tasks and subjective measures can be misleading in evaluating explainable AI systems (2020, background): “ecisions [40]. „ese heuristics save time and e‡ort, and frequently lead to good outcomes, but in some situations they result in cognitive biases that systematically lead to poor decisions (see, e.g., [4]). To help people make good decision reliably, computer-based Decision Support Systems (DSS) have”
• Cognitive biases associated with medical decisions: a systematic review (2016, background): “While a recent review on cognitive biases and heuristics suggested that general medical personnel is prone to show cognitive biases, it did not answer the question whether these biases actually relate to the number of medical errors in physicians [25].”