About Health Decision Science
Decision Science provides a structured, logical way of thinking through and informing complex decisions. Decision science seeks to make plain the scientific issues and value judgments underlying these decisions, and to identify tradeoffs that might accompany any particular action or inaction. Inherent in a decision analytic approach is an explicit focus on identifying, measuring, and valuing the outcomes of decisions, as well as the uncertainty about these outcomes when decisions are made. Using this approach, one explicitly specifies values and objectives, the choices available, the probabilities that characterize uncertainties and potential consequences, the values attached to outcomes, and the options for acquiring more evidence to reduce uncertainty. These elements are then incorporated into a mathematical model to structure the decision problem over time, and across populations affected. While different types of models may be chosen to accommodate the complexity of the decision problem, all rely on quantitative mathematical analysis to compare the expected performance of alternatives.What kinds of decisions to decision scientists address?
How does decision science relate to other disciplines?
What kinds of issues does decision science address?
What role do models play in health decision science?
What are examples of models developed by Center investigators?
What kinds of questions does the Center for Health Decision Science try to answer?
Where can I read more?How does decision science relate to other disciplines?
What kinds of issues does decision science address?
What role do models play in health decision science?
What are examples of models developed by Center investigators?
What kinds of questions does the Center for Health Decision Science try to answer?