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Titlebook: Clinical Decision Support Systems; Theory and Practice Eta S. Berner (Professor, Masters of Science in He Book 19991st edition Springer Sci

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Pavel Laryushkin,Victor Glazunov When a CDDSS passes the test of accuracy and is ready for clinical implementation, the need for replicable and gener-alizable measurement of practical impact emerges. It is increasingly acknowledged that measurement of system performance and impact represents the research component of informatics p
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https://doi.org/10.1007/978-3-476-04022-0gnosis. In fact, so strong is our belief in the regularity of signs and symptoms that the process has long been regarded as straightforward, if not easy: “...there is nothing remarkable,” Hippocrates suggested some 2,400 years ago, “in being right in the great majority of cases in the same district,
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Clinical Diagnostic Decision Support Systems—An Overviewe informatician, has developed and proliferated a new kind of model, the Clinical Diagnostic Decision Support System (CDDSS). Modeling historically was, and still remains, an inexact science. Ptolemy, in the ‘Almagest’, placed the earth at the center of the universe, and could still explain why the
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Mathematical Foundations of Decision Support Systemss do support decisions, but they are not “clinical decision support systems” in the usual sense. What we usually mean by a clinical decision support system is a program that supports a reasoning task, carried out behind the scenes and based on clinical data. For example, a program that accepts thyro
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Testing System Accuracypart of the development process and is used by the CDDSS developers for system improvement. Once a system is sufficiently mature, more formal evaluation studies should be done, initially of system accuracy and later, of system impact. A wide range of study design choices can be appropriate for asses
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Hospital-Based Decision Supportwith drug dosing, health maintenance, diagnosis and other clinically relevant decisions have been developed for the medical market. Increasing ease of access to personal computers is partially responsible for this growth. So is the interest in automated medical decision-making that has grown from an
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Decision Support for Patientsarate these systems from the more general area of consumer health informatics. Consumer health informatics represents a diverse field devoted to the development, implementation, and research on telecommunication and computer applications designed to be used by consumers to access information on a wi
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Design and Implementation Issuess MYCIN,. CASNET. and the Leeds abdominal pain system3 made it reasonable to assume that it was only a matter of time until computers became a standard part of physicians’ diagnostic armamentarium. As the other chapters in this book have shown, there have been a number of successful applications dev
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