Encyclopedia of Medical Decision Making
- Michael W. Kattan - Cleveland Clinic Foundation, Ohio
Clinical Medicine | Health Services Research | Judgment & Decision Making
Broadly speaking, concepts in medical decision making (MDM) may be divided into two major categories: prescriptive and descriptive. Work in the area of prescriptive MDM investigates how medical decisions should be done using complicated analyses and algorithms to determine cost-effectiveness measures, prediction methods, and so on. In contrast, descriptive MDM studies how decisions actually are made involving human judgment, biases, social influences, patient factors, and so on. The Encyclopedia of Medical Decision Making gives a gentle introduction to both categories, revealing how medical and healthcare decisions are actually made—and constrained—and how physician, healthcare management, and patient decision making can be improved to optimize health outcomes.
Discusses very general issues that span many aspects of MDM, including bioethics; health policy and economics; disaster simulation modeling; medical informatics; the psychology of decision making; shared and team medical decision making; social, moral, and religious factors; end-of-life decision making; assessing patient preference and patient adherence; and more
Incorporates both quantity and quality of life in optimizing a medical decision
Considers characteristics of the decisionmaker and how those characteristics influence their decisions
Presents outcome measures to judge the quality or impact of a medical decision
Examines some of the more commonly encountered biostatistical methods used in prescriptive decision making
Provides utility assessment techniques that facilitate quantitative medical decision making
Addresses the many different assumption perspectives the decision maker might choose from when trying to optimize a decision
Offers mechanisms for defining MDM algorithms
"Kattan's background in statistics is evident in the abundance of entries related to biostatistics, epidemiology, decision analysis, and outcomes measurement. Such content is well balanced by entries on foundational topics in evidence-based medicine and clinical decision making. All essays are carefully thorough and include applications and examples to illustrate difficult concepts. The value of this resource outweighs its cost, particularly for health science libraries affiliated with a medical school or teaching hospital."