Data-Guided Healthcare Decision Making
By Ramalingam Shanmugam
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.
By Ramalingam Shanmugam
In today’s rapidly evolving healthcare landscape, decision-making plays a crucial role in the delivery of cost-effective and quality care. However, with the vast amount of data available, healthcare professionals often face challenges in extracting actionable insights from this information. In his insightful book, “Data Evidence in Decision-Making: A Guide for Healthcare Administrators,” author Ramalingam Shanmugam explores the importance of data evidence in healthcare decision-making and provides practical tools and techniques to enhance operational efficiency.
The book begins by introducing readers to the fundamentals of operational decision-making in healthcare. Shanmugam demonstrates how data analysis can support and optimize healthcare operations, enabling administrators to make informed decisions. Drawing on real-world examples and utilizing numerous healthcare data sets from various sources, the author breaks down complex concepts into easily understandable terms, making it accessible to both healthcare professionals and students.
One of the key strengths of this book is its focus on demystifying data analysis. Shanmugam explains how to interpret and analyze data effectively, allowing readers to gain deeper insights into patients’ health, resource allocation, and overall operational performance. By integrating widely available software such as Microsoft Excel, Microsoft Mathematics, MathSolver, and JASP, the author empowers readers to harness the power of technology in their decision-making processes.
The author also addresses the practical aspects of implementing and maintaining cost-effective healthcare operations. He provides valuable guidance on how to measure and evaluate the impact of decisions, ensuring continuous improvement in healthcare quality and efficiency. With the increasing emphasis on value-based care, the book emphasizes the importance of aligning operational decisions with healthcare objectives and patient outcomes.
Throughout the book, Shanmugam emphasizes the benefits of using decision trees as a tool to sharpen decision-making in healthcare. Decision trees provide a visual framework for evaluating different alternatives and their associated risks and rewards. By incorporating decision trees into their decision-making processes, healthcare administrators can effectively assess the potential outcomes of various options and select the optimal path forward.
In addition to the practical insights and methodologies, “Data Evidence in Decision-Making” also delves into the broader implications of data-driven decision-making in healthcare. The author explores ethical considerations in data analysis, addressing privacy concerns and the responsible use of patient information. This holistic approach ensures that readers develop a comprehensive understanding of the challenges and responsibilities associated with implementing data-driven decision-making in the healthcare industry.
With its comprehensive coverage and accessible writing style, this book is an invaluable resource for graduate students and lecturers in Healthcare Administration and Business Administration courses. The combination of theoretical foundations and practical examples makes it an ideal reference for those seeking to enhance their understanding of data analysis and its applications in healthcare.
What sets this book apart is its relevance to the current healthcare landscape. As the industry continues to undergo significant transformations, administrators and healthcare professionals need to stay up-to-date with the latest methodologies and tools. Shanmugam addresses this need by incorporating up-to-date concepts and methodologies, ensuring that readers are equipped with the knowledge and skills needed to thrive in a dynamic healthcare environment.
Moreover, the author’s expertise in health and medical informatics lends credibility to the content presented in the book. Shanmugam’s extensive experience in the field shines through in his ability to communicate complex concepts in a clear and concise manner. Readers can trust that they are receiving accurate and relevant information from an industry expert.
Overall, “Data Evidence in Decision-Making: A Guide for Healthcare Administrators” is a must-read for anyone involved in healthcare administration or seeking a career in the field. The book offers a comprehensive introduction to the fundamentals of operational decision-making and equips readers with the tools and knowledge needed to navigate the data-driven landscape of modern healthcare. By embracing data evidence, healthcare administrators can drive meaningful change in the delivery of care, ultimately improving patient outcomes and organizational performance.
Order your copy of “Data Evidence in Decision-Making: A Guide for Healthcare Administrators” today and embark on a journey to enhance your decision-making skills in the healthcare industry. Whether you’re a student, healthcare professional, or administrator, this book is an indispensable resource for navigating the complex world of data-driven decision-making. Don’t miss out on the opportunity to revolutionize your approach to healthcare administration!
Product Details
- Publisher : Cambridge University Press; New edition (August 24, 2023)
- Language : English
- Hardcover : 500 pages
- ISBN-10 : 100921201X
- ISBN-13 : 978-1009212014