Quantitative Methods in Healthcare: Modeling Patient Flow, Treatment Sequencing, and Resource Allocation, (Paperback)

<b>Reactive Publishing</b><p>This book provides a practical introduction to quantitative methods in healthcare, focusing on three critical areas: modeling patient flow, treatment sequencing, and resource allocation.</p><p>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.</p><p>Key topics include: <br>- Discrete-event simulation for patient flow analysis<br>- Optimization approaches for treatment sequencing<br>- Resource allocation models under uncertainty<br>- Implementation of healthcare simulations using Python</p><p>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.</p><p>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.</p>

• Quantitative Methods in Healthcare: Modeling Patient Flow, Treatment Sequencing, and Resource Allocation, (Paperback)
• Author: Danny Munrow
• ISBN: 9798198352575
• Format: Paperback
• Publication Date: 2026-05-23
• Page Count: 418