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Quantitative Methods in Healthcare: Modeling Patient Flow, Treatment Sequencing, and Resource Allocation
Paperback
Publisher: Independently Published
Published: May 23 2026
Pages: 418
Weight: 1.11
Height: 1.04 Width: 6.00 Depth: 9.00
Language: English
This book provides a practical introduction to quantitative methods in healthcare, focusing on three critical areas: modeling patient flow, treatment sequencing, and resource allocation.
Written for healthcare analysts, operations researchers, data scientists, and students in health informatics, the book demonstrates how to apply simulation techniques and Python programming to real-world healthcare challenges. Readers will learn how to build and analyze simulation models that support better decision-making in complex hospital environments and public health scenarios.
Key topics include:
- Discrete-event simulation for patient flow analysis
- Optimization approaches for treatment sequencing
- Resource allocation models under uncertainty
- Implementation of healthcare simulations using Python
The emphasis is on clear methodology, reproducible code examples, and practical model development rather than theoretical abstraction. All techniques are presented with healthcare-specific context and considerations.
Whether you are improving hospital efficiency, planning resource use during demand surges, or developing data-driven strategies for healthcare delivery, this book offers structured guidance and working Python examples to help you translate quantitative methods into actionable insights.
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