Описание: Increased interest from academic, industrial, and government scientists in the pathogenic molds and yeasts has stimulated research that has resulted in a
significant expansion of our knowledge of the biology, molecular genetics, clinical expression, diagnosis, and management of fungal diseases. "Medical Mycology" has therefore been
thoroughly revised and updated for this edition to include coverage of all newly identified and emerging fungal pathogens or fungal infections, innovative research, and the development
of applications of new technology in the field. "Medical Mycology" provides comprehensive coverage of the pathogenic fungi and the diseases they cause.The volume covers the
history, the biologic and molecular taxonomy of the fungal pathogens, diagnostic techniques, and integration of newer antifungal agents and strategies for the management of fungal
pathogens, followed by detailed reviews of the etiological agents grouped by the principle sites that they target and the host response they elicit.
"Medical Mycology" is an
important resource for all members of the medical mycology community and associated disciplines, including research scientists, clinical laboratory scientists, infectious disease
specialists and other clinicians, and epidemiologists. It will also be a powerful resource and inspirati
n for students interested in studying the relationship between the fungi and their hosts, leading to the diverse infections that they cause.
Описание: A compendium of health care quantitative techniques based in Excel Analytics and Decision Support in Health Care Operations is a comprehensive introductory guide to quantitative techniques, with practical Excel-based solutions for strategic health care management.
Автор: Diefenbach Название: Handbook of Health Decision Science ISBN: 1493934848 ISBN-13(EAN): 9781493934843 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This comprehensive reference delves into the complex process of medical decision making—both the nuts-and-bolts access and insurance issues that guide choices and the cognitive and affective factors that can make patients decide against their best interests. Wide-ranging coverage offers a robust evidence base for understanding decision making across the lifespan, among family members, in the context of evolving healthcare systems, and in the face of life-changing diagnosis. The section on applied decision making reviews the effectiveness of decision-making tools in healthcare, featuring real-world examples and guidelines for tailored communications with patients. Throughout, contributors spotlight the practical importance of the field and the pressing need to strengthen health decision-making skills on both sides of the clinician/client dyad. Among the Handbook’s topics: From laboratory to clinic and back: connecting neuroeconomic and clinical measures of decision-making dysfunctions. Strategies to promote the maintenance of behavior change: moving from theoretical principles to practices. Shared decision making and the patient-provider relationship. Overcoming the many pitfalls of communicating risk. Evidence-based medicine and decision-making policy. The internet, social media, and health decision making. The Handbook of Health Decision Science will interest a wide span of professionals, among them health and clinical psychologists, behavioral researchers, health policymakers, and sociologists.
Автор: Leiner, F.; Gaus, W.; Haux, R.; Knaup-Gregori, P. (Eds.) Leiner, F.; Gaus, W.; Haux, R.; Knaup-Gregori, P. (Eds.) Leiner, F.; Gaus, W.; Haux, R.; Knaup-Gregori, P. (Eds.) Название: Medical Data Management: A Practical Guide ISBN: 0387951598 ISBN-13(EAN): 9780387951591 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Medical Data Management is a systematic introduction to the basic methodology of professional clinical data management. It is an invaluable resource for all health care professionals involved in designing, assessing, adapting, or using clinical data management systems in hospitals, outpatient clinics, study centers, health plans, etc.
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