Average Reviews:
(More customer reviews)This is an interesting book that covers a variety of tools helpful to decision makers in the health industry. While these tools have been individually presented in other papers and books, I think this is probably the first book that has it all together. It first covers the very basics of what decision analysis is, as well as the fundamentals of probability. Then there are full chapters on decision trees, modeling group decisions, root-cause analysis, ... (see the table of contents). Within each chapter, there are real-world driven examples from the health industry with explanations of the detailed process in conducting the analysis (e.g. with sample interviews with the decision makers to get the parameters). I think it's a very good reference if you want to learn a decision analysis tool in detail with some health care examples or as a text book on the subject. It doesn't appear to be written to give a brief overview of the field just to satisfy one's curiosity (though the first chapter could help with that). It's more targeted at those who want to learn all or selected concepts and tools in detail.
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The first part of the book explains the various analytical tools that simplify and accelerate decision making. Learn about tools that help you determine causes, evaluate choices, and forecast future events. For occasions when a group, rather than an individual, has to make a decision, you will also learn what tools can help you create group consensus. The second half of the book shows you how to apply analytical tools to different healthcare situations, including comparing clinician performance, determining the causes for medical errors, analyzing the costs of programs, and determining the market for new services. Many practical examples walk you step-by-step through common decision-making scenarios.
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