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What is Markov Modelling

Chapter 12
Handbook of Research on Advances in Health Informatics and Electronic Healthcare Applications: Global Adoption and Impact of Information Communication Technologies
A form of modelling based on stochastic processes where the discrete states of a problem and the possible transitions between them are analysed. Systems represented as a network of states with paths between nodes weighted according to their probability of their occurrence. Paths and cycles in the system can be analysed mathematically to determine the likelihood of overall outcomes. The Markov property requires that the probability of transition between two states is dependant only on the current state and the problem must be formulated accordingly.
Published in Chapter:
Developments in Modeling Organizational Issues in Healthcare: Multi Method Modeling
Kirandeep Chahal (Brunel University, UK), Herbert Dalby (Brunel University, UK), Tillal Eldabi (Brunel University, UK), and Ray J. Paul (Brunel University, UK)
Copyright: © 2010 |Pages: 15
DOI: 10.4018/978-1-60566-030-1.ch012
Abstract
Healthcare organisations increasingly use simulation and modelling techniques to analyse their procedures and policies. Modelling activities attempt to help meet the challenges, constraints and requirements for efficiency encountered in the modern healthcare environment. A variety of techniques are used, often applied in different roles and by different functions in the organisation. Recent research has investigated the benefits of considering multiple approaches in the analysis of problems. This chapter briefly introduces the use of simulation and modelling in healthcare and the factors driving the increasingly widespread use of these techniques. Simple examples show how individual methods may be applied to model healthcare problems. The recent emergence of multi method approaches to modelling is examined and, focusing specifically on healthcare, examples of how these new ideas may also be applied in healthcare modelling are presented. Finally the challenges to implementing such new approaches effectively in a healthcare environment are discussed.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Chapter 12
Developments in Modeling Organizational Issues in Healthcare: Multi Method Modeling
A form of modelling based on stochastic processes where the discrete states of a problem and the possible transitions between them are analysed. Systems represented as a network of states with paths between nodes weighted according to their probability of their occurrence. Paths and cycles in the system can be analysed mathematically to determine the likelihood of overall outcomes. The Markov property requires that the probability of transition between two states is dependant only on the current state and the problem must be formulated accordingly.
Published in Chapter: Developments in Modeling Organizational Issues in Healthcare: Multi Method Modeling; From: Handbook of Research on Advances in Health Informatics and Electronic Healthcare Applications: Global Adoption and Impact of Information Communication Technologies
Full Text Chapter Download: US $37.50 Add to Cart
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