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Data-Guided Healthcare Decision Making

Data-Guided Healthcare Decision Making

£99.99

  • Date Published: June 2023
  • availability: In stock
  • format: Hardback
  • isbn: 9781009212014

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  • How does data evidence matter in decision-making in healthcare? How do you implement and maintain cost effective healthcare operations? Do decision trees help to sharpen decision making? This book will answer these questions, demystifying the many questions by clearly showing how to analyse data and how to interpret the results – vital skills for anyone who will go on to work in health administration in hospitals, clinics, pharmaceutical or 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: Excel, Microsoft Mathematics, MathSolver and JASP.

    • Heavily illustrated, offering new insights into challenges presented by interpreting and analysing healthcare data
    • Guides readers to understanding necessary formulae in a topical, engaging and relevant way
    • Offers practical guidance on concepts and tools in a comprehendible way – making it simple for the reader to apply solutions in their workplace
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    Product details

    • Date Published: June 2023
    • format: Hardback
    • isbn: 9781009212014
    • length: 500 pages
    • dimensions: 261 x 211 x 29 mm
    • weight: 1.41kg
    • availability: In stock
  • Table of Contents

    1. Why and how healthcare decisions are made
    2. Are data guided healthcare decisions superior?
    3. Software: EXCEL, Microsoft Mathematics and JASP
    4. How to collect authentic data
    5. Uncertainties and their impact on healthcare decision
    6. Why models are important in healthcare
    7. How healthcare decision trees emerge and function
    8. How are group decisions practiced in healthcare?
    9. Tracing and remedying root causes of adversities
    10. Healthcare decision making for cost-effectiveness
    11. Risk analysis in healthcare decision making
    12. Evaluation of healthcare programs
    13. Six sigma and lean management in healthcare sectors
    14. Forecasting in healthcare sectors.

  • Author

    Ramalingam Shanmugam, Texas State University, San Marcos
    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.

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