MEDICAL DECISION MAKING Detailed resource showing how to best make medical decisions while incorporating clinical practice guidelines and decision support systems Sir William Osler, a legendary physician of an earlier era, once said, “Medicine is a science of uncertainty and an art of probability.” In Osler’s day, and now, decisions about treatment often cannot wait until the diagnosis is certain. Medical Decision Making is about how to make the best possible decision given that uncertainty. The book shows how to tailor decisions under uncertainty to achieve the best outcome based on published evidence, features of a patient’s illness, and the patient’s preferences. Medical Decision Making describes a powerful framework for helping clinicians and their patients reach decisions that lead to outcomes that the patient prefers. That framework contains the key principles of patient-centered decision-making in clinical practice. Since the first edition of Medical Decision Making in 1988, the authors have focused on explaining key concepts and illustrating them with clinical examples. For the Third Edition, every chapter has been revised and updated. Written by four distinguished and highly qualified authors, Medical Decision Making includes information on: How to consider the possible causes of a patient’s illness and decide on the probability of the most important diagnoses. How to measure the accuracy of a diagnostic test. How to help patients express their concerns about the risks that they face and how an illness may affect their lives. How to describe uncertainty about how an illness may change over time. How to construct and analyze decision trees. How to identify the threshold for doing a test or starting treatment How to apply these concepts to the design of practice guidelines and medical policy making. Medical Decision Making is a valuable resource for clinicians, medical trainees, and students of decision analysis who wish to fully understand and apply the principles of decision making to clinical practice.
This important new book synthesizes relevant research on the learning of mathematics from birth into the primary grades from the full range of these complementary perspectives. At the core of early math experts Julie Sarama and Douglas Clements's theoretical and empirical frameworks are learning trajectories—detailed descriptions of children’s thinking as they learn to achieve specific goals in a mathematical domain, alongside a related set of instructional tasks designed to engender those mental processes and move children through a developmental progression of levels of thinking. Rooted in basic issues of thinking, learning, and teaching, this groundbreaking body of research illuminates foundational topics on the learning of mathematics with practical and theoretical implications for all ages. Those implications are especially important in addressing equity concerns, as understanding the level of thinking of the class and the individuals within it, is key in serving the needs of all children.
Purpose of In vivo Models of Inflammation is to provide the biomedical researcher in both the pharmaceutical industry and academia with a description of the state of the art animal model systems used to emulate diseases with components of inflammation. The aim of this second edition is to act as a complement to the first by describing and updating the standard models that are most utilized for specific disease areas. In addition, this 2nd edition includes new models exploring emerging areas of inflammation research. It provides detailed descriptions of the methodologies and uses of the most significant models. This includes current information regarding agents that demonstrate efficacy, those that do not and those that can be used as standard controls. The focus remains on those models that serve as pre-clinical correlates to human disease as well as those that represent components of the inflammatory response. New approaches to the development of future models in selected therapeutic areas have been highlighted. The focus on novel technologies that are vital for innovative in vivo research has also been expanded to include chapters on the use of transgenic and gene transfer technologies, nanotechnology, and stem cells. The book provides the scientist with an up-to-date reference manual for selecting the best animal model for their specific question. Chapters describing current regulations in the United States, United Kingdom, and Japan are also included.
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