Data mining and analytics in healthcare management : applications and tools / David L. Olson, Özgür M. Araz.

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Data mining and analytics in healthcare management : applications and tools / David L. Olson, Özgür M. Araz.

9783031281136 electronic book
3031281136 electronic book
9783031281129 print
3031281128

Cham, Switzerland : Springer, 2023.

English

1 online resource (x, 191 pages) : illustrations (some color).

10.1007/978-3-031-28113-6 doi

RA971.6 .O47 2023

362.102856312

This book presents data mining methods in the field of healthcare management in a practical way. Healthcare quality and disease prevention are essential in today's world. Healthcare management faces a number of challenges, e.g. reducing patient growth through disease prevention, stopping or slowing disease progression, and reducing healthcare costs while improving quality of care. The book provides an overview of current healthcare management problems and highlights how analytics and knowledge management have been used to better cope with them. It then demonstrates how to use descriptive and predictive analytics tools to help address these challenges. In closing, it presents applications of software solutions in the context of healthcare management. Given its scope, the book will appeal to a broad readership, from researchers and students in the operations research and management field to practitioners such as data analysts and decision-makers who work in the healthcare sector.

Includes bibliographical references and indexes.

Access limited to authorized users.

Online resource; title from PDF title page (SpringerLink, viewed April 24, 2023).

International series in operations research & management science ; v. 341.

Print version: 9783031281129

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