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OR Applications in Disease Screening

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Operations Research Applications in Health Care Management

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 262))

Abstract

This chapter presents an overview of disease screening problems and operations research applications on different aspects of the problem. We first discuss operations research applications in evaluation and optimization of screening policies. Cost-effectiveness analysis and personalized medical decision making approaches for screening problems are be discussed here. The methodologies discussed include microsimulation models, compartmental models, general stochastic models and Partially Observed Markov Decision Processes. Then, organization of screening services for reaching out to the population and improving the effectiveness of screening, is discussed. Main topics included are location and resource allocation problems. We conclude with a brief discussion of future research directions.

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Acknowledgements

The authors gratefully acknowledge the feedback they received from Oguzhan Alagoz, Turgay Ayer, Brian Denton, Fatih Safa Erenay, Paul Harper, Evin Uzun Jacobson, Ozge Karanfil, and two anonymous reviewers, which helped improve the chapter significantly.

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Authors and Affiliations

  1. College of Administrative Sciences and Economics, Koç University, 34450, İstanbul, Turkey

    Evrim Didem Güneş

  2. Department of Industrial Engineering, Koç University, 34450, İstanbul, Turkey

    E. Lerzan Örmeci

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  1. Evrim Didem Güneş
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Correspondence to Evrim Didem Güneş .

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Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Macka, Istanbul, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Istanbul Technical University, Macka, Istanbul, Turkey

    Y. Ilker Topcu

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Güneş, E.D., Örmeci, E.L. (2018). OR Applications in Disease Screening. In: Kahraman, C., Topcu, Y. (eds) Operations Research Applications in Health Care Management. International Series in Operations Research & Management Science, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-319-65455-3_12

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