Introduction to clinical decision making.

Abstract:

:In the last few years there has been a remarkable increase in the amount of clinical data in the average hospital chart, and more and more problem-solving algorithms have been developed. We need better "thinking tools" to help us handle the flow of information. The term "clinical decision making" is used to describe a systematic way to handle data and algorithms to decide on a best course of action. This introductory article discusses some of the problems in establishing a decision criterion, both for a population and for an individual patient. Comparing the probabilities and utilities of various diagnostic outcomes (true positive, false positive, etc.) leads to a diagnostic strategy. The article also discusses conditional probability. Bayes' theorem, and likelihood ratios.

journal_name

Semin Nucl Med

authors

Patton DD

doi

10.1053/j.semnuclmed.2010.05.001

subject

Has Abstract

pub_date

2010-09-01 00:00:00

pages

319-26

issue

5

eissn

0001-2998

issn

1558-4623

pii

S0001-2998(10)00046-2

journal_volume

40

pub_type

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