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.
General
Imprint: |
Springer International Publishing AG
|
Country of origin: |
Switzerland |
Series: |
International Series in Operations Research & Management Science, 341 |
Release date: |
May 2023 |
Authors: |
David L. Olson
• Özgür M. Araz
|
Dimensions: |
235 x 155mm (L x W) |
Pages: |
189 |
Edition: |
1st ed. 2023 |
ISBN-13: |
978-3-03-128112-9 |
Categories: |
Books
Promotions
|
LSN: |
3-03-128112-8 |
Barcode: |
9783031281129 |
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