By David L. Olson, Özgür M. Araz

In today’s fast-paced world, healthcare quality and disease prevention play a crucial role in ensuring the well-being of individuals and communities. As the healthcare industry faces numerous challenges, such as reducing patient growth through disease prevention, stopping or slowing disease progression, and improving quality of care while reducing costs, there is a growing need for effective management strategies. This is where the fascinating field of data mining comes into play.

Data Mining in Healthcare Management: Using Analytics and Knowledge Management takes readers on a practical journey, showcasing how data mining methods can be applied to tackle various healthcare management problems. Authored by David L. Olson and Özgür M. Araz, this book provides a comprehensive overview of the current challenges faced by healthcare management and demonstrates how analytics and knowledge management can be leveraged to address them.

The book begins by highlighting the importance of healthcare quality and disease prevention. It emphasizes the need to reduce patient growth through proactive measures and to halt or slow down the progression of diseases. The authors also address the pressing need to enhance the quality of care while simultaneously reducing healthcare costs.

Data mining is a powerful tool that can assist healthcare managers and decision-makers in finding meaningful patterns and insights within large datasets. This book introduces readers to descriptive and predictive analytics tools, showcasing how they can effectively be applied to healthcare management. The authors provide practical examples and case studies to illustrate the application of these tools in real-world scenarios.

One of the key strengths of this book is its emphasis on the practical aspects of data mining in healthcare management. The authors provide step-by-step guidance on how to leverage descriptive and predictive analytics to address specific challenges. They explain various data mining techniques in a clear and concise manner, making the book accessible to readers with varying levels of expertise in the field.

The book also explores the role of knowledge management in healthcare management. It demonstrates how healthcare organizations can leverage knowledge management strategies to enhance decision-making processes, improve patient outcomes, and drive organizational efficiency. Through the use of technology and software solutions, healthcare managers can harness the power of data to make informed decisions and drive positive change within their organizations.

Data Mining in Healthcare Management: Using Analytics and Knowledge Management is not only a valuable resource for researchers and students in the operations research and management field, but also for practitioners working in the healthcare sector. Data analysts, decision-makers, and healthcare professionals can benefit from the insights and practical guidance provided in this book.

In conclusion, Data Mining in Healthcare Management: Using Analytics and Knowledge Management offers a comprehensive and practical approach to leveraging data mining methods in healthcare management. By providing a deep understanding of the challenges faced by the healthcare industry and showcasing real-world applications of data mining techniques, this book equips readers with the knowledge and tools needed to drive positive change and improve healthcare outcomes. Whether you are a researcher, student, or healthcare professional, this book is a must-have resource for those seeking to make a significant impact in the field of healthcare management.

Order your copy of Data Mining in Healthcare Management: Using Analytics and Knowledge Management today and embark on a journey towards revolutionizing healthcare management through the power of data mining.