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The Effects of Discrete Work Shifts on a Nonterminating Service System

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  • Robert J. Batt
  • Diwas S. KC
  • Bradley R. Staats
  • Brian W. Patterson

Abstract

Hospital emergency departments (EDs) provide around‐the‐clock medical care, and as such are generally modeled as nonterminating queues. However, from the care provider's point of view, ED care is not a never‐ending process, but rather occurs in discrete work shifts and may require passing unfinished work to the next care provider at the end of the shift. We use data from a large, academic medical center ED to show that the patients’ rate of service completion varies over the course of the physician shift. Furthermore, patients that have experienced a physician handoff have a higher rate of service completion than nonhanded off patients. As a result, a patient's expected treatment time is impacted by when the physician's shift treatment begins. We also show that patients that have been handed off are more likely to revisit the ED within three days, suggesting that patient handoffs lower clinical quality. Lastly, we use simulation to show that shift length and new‐patient cutoff rules can be used to reduce handoffs, but at the expense of system throughput.

Suggested Citation

  • Robert J. Batt & Diwas S. KC & Bradley R. Staats & Brian W. Patterson, 2019. "The Effects of Discrete Work Shifts on a Nonterminating Service System," Production and Operations Management, Production and Operations Management Society, vol. 28(6), pages 1528-1544, June.
  • Handle: RePEc:bla:popmgt:v:28:y:2019:i:6:p:1528-1544
    DOI: 10.1111/poms.12999
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    Cited by:

    1. Ken Moon & Prashant Loyalka & Patrick Bergemann & Joshua Cohen, 2022. "The Hidden Cost of Worker Turnover: Attributing Product Reliability to the Turnover of Factory Workers," Management Science, INFORMS, vol. 68(5), pages 3755-3767, May.
    2. Guihua Wang, 2022. "Stay at home to stay safe: Effectiveness of stay‐at‐home orders in containing the COVID‐19 pandemic," Production and Operations Management, Production and Operations Management Society, vol. 31(5), pages 2289-2305, May.
    3. Sachin B. Modi & David E. Cantor, 2021. "How Coopetition Influences Environmental Performance: Role of Financial Slack, Leverage, and Leanness," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2046-2068, July.
    4. Yuan Chen & Hsing Kenneth Cheng & Yang Liu & Jingchuan Pu & Liangfei Qiu & Ning Wang, 2022. "Knowledge‐sharing ties and equivalence in corporate online communities: A novel source to understand voluntary turnover," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3896-3913, October.
    5. Masoud Kamalahmadi & Qiuping Yu & Yong-Pin Zhou, 2021. "Call to Duty: Just-in-Time Scheduling in a Restaurant Chain," Management Science, INFORMS, vol. 67(11), pages 6751-6781, November.
    6. Diwas Singh KC, 2020. "Heuristic Thinking in Patient Care," Management Science, INFORMS, vol. 66(6), pages 2545-2563, June.
    7. Saravanan Kesavan & Susan J. Lambert & Joan C. Williams & Pradeep K. Pendem, 2022. "Doing Well by Doing Good: Improving Retail Store Performance with Responsible Scheduling Practices at the Gap, Inc," Management Science, INFORMS, vol. 68(11), pages 7818-7836, November.
    8. Sriram Somanchi & Idris Adjerid & Ralph Gross, 2022. "To Predict or Not to Predict: The Case of the Emergency Department," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 799-818, February.
    9. Andres F. Jola‐Sanchez, 2022. "How does warfare affect firms' productivity?," Production and Operations Management, Production and Operations Management Society, vol. 31(5), pages 1940-1962, May.

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