Data-Guided Healthcare Decision Making - Shanmugam, Ramalingam
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"How does data evidence matter in decision making in healthcare? How do healthcare professionals implement and maintain cost-effective healthcare operations? Do decision trees sharpen decision making? This book answers these questions by clearly showing how to analyze data and how to interpret the results - vital skills for anyone who works in health administration in hospitals, in clinics, or in the pharmaceutical and insurance industries. Written by an expert in health and medical informatics, this book introduces readers to the fundamentals of operational decision making by illustrating the…mehr

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Produktbeschreibung
"How does data evidence matter in decision making in healthcare? How do healthcare professionals implement and maintain cost-effective healthcare operations? Do decision trees sharpen decision making? This book answers these questions by clearly showing how to analyze data and how to interpret the results - vital skills for anyone who works in health administration in hospitals, in clinics, or in the pharmaceutical and insurance industries. Written by an expert in health and medical informatics, this book introduces readers to the fundamentals of operational decision making by illustrating the ideas and tools to reach optimal healthcare, drawing on numerous healthcare data sets from multiple sources. Aimed at an audience of graduate students and lecturers in healthcare administration and business administration courses and heavily illustrated throughout, this book includes up-to-date concepts, new methodologies, and interpretations using widely available software: Microsoft Excel, Microsoft Math Solver, and JASP"--
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Autorenporträt
Ramalingam Shanmugam received Ph.D. degree from Temple University. Since 2016, he is honored with title honorary professor of international studies at Texas State University. He is a passionate teacher. Students nominated him to Honor Society of Phi Kappa Phi. He published over 178 research articles in frontline national and international journals. In 1984, he was elected to be a fellow of the International Statistical Institute. In 2021, he was selected to be a fellow of the American Statistical Association. He is the Book Review Editor for the Journal of Statistical Computation and Simulation. He has published five books.