This new edition is fully updated to address and include: significant changes in hospital environments, including managed care delivery methodologies, how Medicare and Medicaid work, and the role of nurse practitioners, physician assistants, and other ancillary hospital personnel patient screening recommendations from agencies such as the U.S. Preventive Services Task Force and the American Cancer Society convenient lists of common drug reactions and commonly used alternative and complementary medicine treatment modalities expanded, commonly used medical abbreviations and acronyms. Students benefit from a convenient handbook that offers a crucial link between basic sciences years and the hospital experience, and are aided in achieving mastery of proper physical diagnosis and medical work-up for accurate diagnosis. Includes concise disease pathophysiology reviews.

This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.

Fundamentals of Clinical Practice, Second Edition presents medical students with a comprehensive guide to the social ramifications of a physician's work, and more experienced practitioners with the tools to augment their own patient-centered techniques.

This classic reference, now updated with the newest applications and results, addresses the fundamentals of such trials based on sound scientific methodology, statistical principles, and years of accumulated experience by the three authors.

Using clinical examples and citing liberally from the peer-reviewed literature, this book shows how statistical priniciples can improve medical decisions.

Fundamentals of Medical Physiology provides a concise, in-depth introduction by organ system to the principles of body function and uses emphasis on general models and clinical cases to foster mastery of these principles.Special features include: An emphasis on general models that underlie a number of recurring physiologic mechanisms -- for example, flow of substances and the factors that affect flow or energy formation and transformation -- to strengthen understanding Use of clinical cases -- developed, refined, and tested in the classroom over the past decade -- to test mastery of physiologic concepts Section-opening Patient Cases conclude with Some Things to Think About to help direct your study of the physiologic mechanisms of that organ system Chapter Questions ask you to apply what you have learned in that chapter to building an understanding of the case Answers to chapter questions allow you to check your understanding and direct further review A comprehensive Case Analysis with cause-and-effect diagrams reviews in detail the physiology behind the case Access via scratch-off code to all the cases in your book -- plus additional clinical cases -- with questions and answers and case analysis to enable convenient online review and testing Specifically, designed for the first- and second-year medical student, this innovative text -- ideal as a study aid for the USMLE -- provides the tools needed to learn and apply physiology to medical practice.

This is a basic book on evidence-based medicine (EBM). It starts with an introduction to the topic. It outlines the relationship between EBM and research and quality of care. Then It goes on to cover the most commonly used modules of EBM, i.e. therapy, diagnosis, prognosis and meta-analysis. Each module starts with an introduction to fundamental concepts, and description of the related research process, and then follows the critical appraisal of related type of research artcle. At the end, it covers the different systems of grading of level of evidence and strength of recommendations. The book also has three examples of critical appraisal on diagnosis, therapy, and meta-analysis.​