Discrete Event Simulation for Health Technology Assessment

J. Jaime Caro, Jörgen Möller, Jonathan Karnon, James Stahl, Jack Ishak

October 16, 2015 by Chapman and Hall/CRC
Reference - 354 Pages - 117 B/W Illustrations
ISBN 9781482218244 - CAT# K22138

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  • Demonstrates the powerful tools and tremendous flexibility of DES for HTA
  • Avoids jargon as much as possible, introducing the requisite simulation terminology along the way
  • Emphasizes that entities and their attributes are not just objects that trigger events
  • Explains the requirements and fundamentals of producing suitable equations for building a DES
  • Offers a starting point for investigating software options
  • Gives a detailed account of a real case study of a DES applied to the problem of screening strategies for breast cancer surveillance


Discover How to Apply DES to Problems Encountered in HTA

Discrete event simulation (DES) has traditionally been used in the engineering and operations research fields. The use of DES to inform decisions about health technologies is still in its infancy. Written by specialists at the forefront of this area, Discrete Event Simulation for Health Technology Assessment is the first book to make all the central concepts of DES relevant for health technology assessment (HTA). Accessible to beginners, the book requires no prerequisites and describes the concepts with as little jargon as possible.

The book first covers the essential concepts and their implementation. It next provides a fully worked out example using both a widely available spreadsheet program (Microsoft Excel) and a popular specialized simulation package (Arena). It then presents approaches to analyze the simulations, including the treatment of uncertainty; tackles the development of the required equations; explains the techniques to verify that the models are as efficient as possible; and explores the indispensable topic of validation. The book also covers a variety of non-essential yet handy topics, such as the animation of a simulation and extensions of DES, and incorporates a real case study involving screening strategies for breast cancer surveillance.

This book guides you in leveraging DES in your assessments of health technologies. After reading the chapters in sequence, you will be able to construct a realistic model designed to help in the assessment of a new health technology.


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