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Kaiser Permanente Oakland Medical Center Optimizes Operating Room Block Schedule for New Hospital

Author

Listed:
  • Brittney Benchoff

    (Alpine Data, San Francisco, California 94107)

  • Candace Arai Yano

    (Department of Industrial Engineering and Operations Research and the Haas School of Business, University of California, Berkeley, Berkeley, California 94720)

  • Alexandra Newman

    (Doctoral Program in Operations Research with Engineering, Colorado School of Mines, Golden, Colorado 80401)

Abstract

In July 2014, Kaiser Permanente, a major integrated healthcare delivery consortium, opened a new hospital, replacing an existing hospital, adjacent to its headquarters in Oakland, California. Hospital staff needed to devise a new operating room schedule. In developing the schedule, the key decisions the staff would have to make were the type of block (i.e., a combination of surgery types that can be performed in the same operating room on the same day) to assign to each operating room on each day of the planning horizon. We report on the development and implementation of an integer programming model to generate a near-optimal block schedule. The approach differs from many in the literature because it considers both direct nursing costs and patient-related costs, and can accommodate a variety of practical constraints. Kaiser Permanente Oakland implemented the proposed schedule and continues to use it with minor modifications in response to subsequent growth and changes in patient demand patterns. Three major benefits of the schedule are that it: (1) satisfies almost all of the monthly block requirements in only four weeks, thereby releasing capacity to reduce the surgical backlog; (2) eliminates days with excess admissions, which would have required additional nursing staff; and (3) reduces the number of surgeries canceled due to an insufficient number of available beds.

Suggested Citation

  • Brittney Benchoff & Candace Arai Yano & Alexandra Newman, 2017. "Kaiser Permanente Oakland Medical Center Optimizes Operating Room Block Schedule for New Hospital," Interfaces, INFORMS, vol. 47(3), pages 214-229, June.
  • Handle: RePEc:inm:orinte:v:47:y:2017:i:3:p:214-229
    DOI: 10.1287/inte.2017.0885
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    References listed on IDEAS

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    Cited by:

    1. Sean Harris & David Claudio, 2022. "Current Trends in Operating Room Scheduling 2015 to 2020: a Literature Review," SN Operations Research Forum, Springer, vol. 3(1), pages 1-42, March.
    2. Chaithanya Bandi & Diwakar Gupta, 2020. "Operating Room Staffing and Scheduling," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 958-974, September.
    3. Wang, Lien & Demeulemeester, Erik & Vansteenkiste, Nancy & Rademakers, Frank E., 2024. "Capacity and surgery partitioning: An approach for improving surgery scheduling in the inpatient surgical department," European Journal of Operational Research, Elsevier, vol. 313(1), pages 112-128.
    4. David Scheinker & Margaret L. Brandeau, 2020. "Implementing Analytics Projects in a Hospital: Successes, Failures, and Opportunities," Interfaces, INFORMS, vol. 50(3), pages 176-189, May.
    5. Sanjay L. Ahire, 2023. "McLeod Health Optimizes Staffing for Patient Room Cleaning," Interfaces, INFORMS, vol. 53(2), pages 155-168, March.

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