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David M. Eddy Probabilistic reasoning in clinical medicine: Problems and opportunities incollection To a great extent, the quality and cost of health care are determined by the decisions made by physicians whose ultimate objective is to design and administer a treatment program to improve a patient’s condition. Most of the decisions involve many factors, great uncertainty, and difficult value questions. This chapter examines one aspect of how these decisions are made, studying the use of probabilistic reasoning to analyze a particular problem: whether to perform a biopsy on a woman who has a breast mass that might be malignant. Specifically, we shall study how physicians process information about the results of a mammogram, an X-ray test used to diagnose breast cancer. The evidence presented shows that physicians do not manage uncertainty very well, that many physicians make major errors in probabilistic reasoning, and that these errors threaten the quality of medical care.

Probabilistic reasoning in clinical medicine: Problems and opportunities

David M. Eddy

In Daniel Kahneman, Paul Slovic, and Amos Tversky (eds.) Judgment under Uncertainty, Cambridge, 1982, pp. 249--267

Abstract

To a great extent, the quality and cost of health care are determined by the decisions made by physicians whose ultimate objective is to design and administer a treatment program to improve a patient’s condition. Most of the decisions involve many factors, great uncertainty, and difficult value questions.

This chapter examines one aspect of how these decisions are made, studying the use of probabilistic reasoning to analyze a particular problem: whether to perform a biopsy on a woman who has a breast mass that might be malignant. Specifically, we shall study how physicians process information about the results of a mammogram, an X-ray test used to diagnose breast cancer. The evidence presented shows that physicians do not manage uncertainty very well, that many physicians make major errors in probabilistic reasoning, and that these errors threaten the quality of medical care.

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