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Data evidence plays a crucial role in decision-making in the healthcare industry. However, implementing and maintaining cost-effective healthcare operations can be a daunting task. One of the key challenges healthcare professionals face is sharpening their decision-making skills to achieve optimal healthcare outcomes.
This book provides a comprehensive guide to help healthcare professionals overcome these challenges. Written by an expert in health and medical informatics, it equips readers with the vital skills to analyze data and interpret results, enabling them to make informed decisions in health administration.
Decision trees are a powerful tool in sharpening decision-making skills. This book illustrates how decision trees can be applied to various healthcare scenarios, helping readers to reach optimal healthcare outcomes.
Through numerous healthcare data sets from multiple sources, this book introduces readers to the fundamentals of operational decision making. It provides a practical approach to analyzing data, illustrating the ideas and tools needed to reach optimal healthcare outcomes.
This book is an essential resource for graduate students and lecturers in Healthcare Administration and Business Administration courses. Heavily illustrated throughout, it includes up-to-date concepts, new methodologies, and interpretations using widely available software such as Excel, Microsoft Mathematics, MathSolver, and JASP.
Published by Cambridge University Press, this new edition (August 24, 2023) comprises 500 pages and is available in hardcover. The ISBN-10 is 100921201X, and the ISBN-13 is 978-1009212014.
Stay ahead in the rapidly evolving healthcare landscape by unlocking the power of data-driven decision making. Get your copy today and discover how to make informed decisions that drive optimal healthcare outcomes!
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