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Medical Resident Work Schedules: Design and Evaluation by Stimulation Modeling

Author

Listed:
  • Robert S. Dittus

    (Indiana University School of Medicine, Indianapolis, Indiana 46202)

  • Robert W. Klein

    (Regenstrief Institute for Health Care, Indianapolis, Indiana 46202)

  • David J. DeBrota

    (Regenstrief Institute for Health Care, Indianapolis, Indiana 46202)

  • Mark A. Dame

    (Eli Lilly and Company, Indianapolis, Indiana 46285)

  • John F. Fitzgerald

    (Richard L. Roudebush VAMC, Indianapolis, Indiana 46202)

Abstract

Society has demanded reform in medical resident work scheduling; consequently, hospitals are implementing changes having organizational, clinical, financial, social, emotional, and educational consequences for physician training and patient care. We report the use of simulation modeling as an approach to evaluate the outcomes of alternative designs prior to implementation. Mobile resources such as physicians with complex job descriptions and patients with time-varying arrival processes complicated the modeling task. A flexible, powerful simulation language helped to model resource decision rules and the frequent preemptions of less urgent activities as more urgent requests arise. A distribution fitting package enhanced the synthesis of data from diverse sources into distributions that adequately modeled input processes. The resulting simulation model was used to examine alternatives in the design of a new housestaff work schedule. We were able to predict accurately the effects on the sleep and activity profile of interns when their schedules were modified. Furthermore, this model has remained an asset for investigating consequences of many types of variation within the system, including changes in patient demand as well as numbers or job descriptions of the housestaff.

Suggested Citation

  • Robert S. Dittus & Robert W. Klein & David J. DeBrota & Mark A. Dame & John F. Fitzgerald, 1996. "Medical Resident Work Schedules: Design and Evaluation by Stimulation Modeling," Management Science, INFORMS, vol. 42(6), pages 891-906, June.
  • Handle: RePEc:inm:ormnsc:v:42:y:1996:i:6:p:891-906
    DOI: 10.1287/mnsc.42.6.891
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    Citations

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    Cited by:

    1. Abo-Hamad, Waleed & Arisha, Amr, 2013. "Simulation-based framework to improve patient experience in an emergency department," European Journal of Operational Research, Elsevier, vol. 224(1), pages 154-166.
    2. Yann Ferrand & Michael Magazine & Uday S. Rao & Todd F. Glass, 2011. "Building Cyclic Schedules for Emergency Department Physicians," Interfaces, INFORMS, vol. 41(6), pages 521-533, December.
    3. Erhard, Melanie & Schoenfelder, Jan & Fügener, Andreas & Brunner, Jens O., 2018. "State of the art in physician scheduling," European Journal of Operational Research, Elsevier, vol. 265(1), pages 1-18.
    4. Hui Zhang & Thomas J. Best & Anton Chivu & David O. Meltzer, 2020. "Simulation-based optimization to improve hospital patient assignment to physicians and clinical units," Health Care Management Science, Springer, vol. 23(1), pages 117-141, March.
    5. Donghyun Choi & Yonghwi Noh & Jin Sung Rha, 2019. "Work pressure and burnout effects on emergency room operations: a system dynamics simulation approach," Service Business, Springer;Pan-Pacific Business Association, vol. 13(3), pages 433-456, September.
    6. Keshtkaran, Mahsa & Churilov, Leonid & Hearne, John & Abbasi, Babak & Meretoja, Atte, 2016. "Validation of a decision support model for investigation and improvement in stroke thrombolysis," European Journal of Operational Research, Elsevier, vol. 253(1), pages 154-169.
    7. Kraul, Sebastian & Brunner, Jens O., 2023. "Stable annual scheduling of medical residents using prioritized multiple training schedules to combat operational uncertainty," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1263-1278.

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