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a derivative of operations research and game theory that involves identifying all available choices and the potential outcomes of each, in a series of decisions that have to be made about patient care-diagnostic procedures, therapeutic regimens, prognostic expectations; the range of choices can be plotted on a decision tree.
Farlex Partner Medical Dictionary © Farlex 2012
decision analysisClinical decision analysis Decision making
1. An approach to decision making under conditions of uncertainty, involving modeling of sequences or pathways of multiple possible strategies–eg, of diagnosis and treatment for a particular clinical problem to determine which is optimal; DA is based on available estimates–drawn from the literature or from experts of the probabilities that certain events and outcomes will occur and the values of the outcomes that would result from each strategy. See Decision tree.
2. An analysis in which '…a problem is stated, assumptions concerning probabilities and utilities are made, and a conclusion is reached based on the results. If the reader (of the analysis) agrees with the structure, assumptions, and probabilities of the analysis, then he or she must agree with its conclusion.' See Algorithm, Critical pathway.
McGraw-Hill Concise Dictionary of Modern Medicine. © 2002 by The McGraw-Hill Companies, Inc.
A logical, consistent approach to making a medical decision when its consequences cannot be foretold with certainty. Uncertainties in medical practice are due to many factors (e.g., biological variation and limitations in the clinical data available for an individual patient). There are three steps in the analysis: 1. the consequences of each option is described schematically by the use of a decision tree; 2. probability is used to quantify the uncertainties inherent in each option; and 3. each possible outcome is designated by a number that measures the patient's preference for that outcome as compared with the others. After the last step is completed, each outcome is assigned a “utility” value in which 1.0 indicates a perfect outcome and 0 is the worst possibility. Decision analysis may be used to help members of the health care team and the patient make logical choices concerning management of illness.
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