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Surveillance Schedules for Medical Examinations

Author

Listed:
  • R. L. A. Kirch

    (Cornell University, College of Medicine)

  • M. Klein

    (Columbia University)

Abstract

A model is developed to aid in determining examination schedules for the detection of an age-dependent disease. It is shown that in an optimal schedule the interval between examinations is proportional to the square root of the age-specific incidence probability of the disease. To illustrate the methodology, optimal schedules are developed for breast cancer examinations.

Suggested Citation

  • R. L. A. Kirch & M. Klein, 1974. "Surveillance Schedules for Medical Examinations," Management Science, INFORMS, vol. 20(10), pages 1403-1409, June.
    • Handle: RePEc:inm:ormnsc:v:20:y:1974:i:10:p:1403-1409
    DOI: 10.1287/mnsc.20.10.1403
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    Cited by:

    1. Laura McLay & Christodoulos Foufoulides & Jason Merrick, 2010. "Using simulation-optimization to construct screening strategies for cervical cancer," Health Care Management Science, Springer, vol. 13(4), pages 294-318, December.
    2. Alireza Sabouri & Woonghee Tim Huh & Steven M. Shechter, 2017. "Screening Strategies for Patients on the Kidney Transplant Waiting List," Operations Research, INFORMS, vol. 65(5), pages 1131-1146, October.
    3. Süleyman Özekici & Talin Papazyan, 1988. "Inspection policies and processes for deteriorating systems subject to catastrophic failure," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(4), pages 481-492, August.
    4. Hessam Bavafa & Sergei Savin & Christian Terwiesch, 2021. "Customizing Primary Care Delivery Using E‐Visits," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4306-4327, November.
    5. Evrim Güneş & Stephen Chick & Luk Wassenhove, 2010. "Quality competition for screening and treatment services," Annals of Operations Research, Springer, vol. 178(1), pages 201-222, July.
    6. Lisa M. Maillart & Julie Simmons Ivy & Scott Ransom & Kathleen Diehl, 2008. "Assessing Dynamic Breast Cancer Screening Policies," Operations Research, INFORMS, vol. 56(6), pages 1411-1427, December.
    7. Wang, Fan & Zhang, Shengfan & Henderson, Louise M., 2018. "Adaptive decision-making of breast cancer mammography screening: A heuristic-based regression model," Omega, Elsevier, vol. 76(C), pages 70-84.
    8. Jonathan E. Helm & Mariel S. Lavieri & Mark P. Van Oyen & Joshua D. Stein & David C. Musch, 2015. "Dynamic Forecasting and Control Algorithms of Glaucoma Progression for Clinician Decision Support," Operations Research, INFORMS, vol. 63(5), pages 979-999, October.
    9. B. C. Giri & T Chakraborty, 2007. "Optimal production, maintenance, and warranty strategies for item sold with rebate combination warranty," Journal of Risk and Reliability, , vol. 221(4), pages 257-264, December.

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