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The Long Island Blood Distribution System as a Prototype for Regional Blood Management

Author

Listed:
  • Eric Brodheim

    (Lindsley F. Kimball Research Institute, The New York Blood Center, New York, New York 10021)

  • Gregory P. Prastacos

    (Department of Decision Science, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

Abstract

Each year over two million hospitalized Americans depend upon the timely availability of the right type of blood products at 6,000 hospital blood banks (HBB's) in the United States. If the right blood products are not available at the HBB when required, then medical complications or postponements of elective surgery can result which translates to extra days of hospitalization and expense. On the other hand, since most blood products may only be administered to a patient of the same blood type within 21 days of collection, overstocking at HBB's leads to low utilization, which increases costs and is wasteful of the scarce blood resource.The Long Island blood distribution system was set up as a prototype of a regional blood center and the hospital blood banks that it services collaborating to preplan regional blood flow. It maximizes blood availability and utilization according to a Programmed Blood Distribution System (PBDS) model and strategy that has been shown to be generally applicable. PBDS schedules blood deliveries according to statistical estimates of the needs of each HBB and monitors actual requirements to adjust deliveries when indicated by control chart techniques. In addition, it provides a daily forecasting of short-term shortages and surpluses for the next several days that results in controlled movement of blood to and from adjoining regions. Finally, the system is able to adjust the regional strategy so that availability is reduced uniformly at all HBB's during periods of seasonal, regional shortages.PBDS has drastically improved utilization and availability of blood on Long Island: wastage has been reduced by 80%, and delivery costs by 64%. This prototype is acting as a model for other regional blood centers in the United States and for other national blood services as a basis for planning and controlling blood flow in a geographic area. It usually replaces preexisting procedures where a regional blood center collects blood based upon gross estimates and reacts to requests for blood by individual HBB's on the basis of experience and on the currently prevailing inventory situation.

Suggested Citation

  • Eric Brodheim & Gregory P. Prastacos, 1979. "The Long Island Blood Distribution System as a Prototype for Regional Blood Management," Interfaces, INFORMS, vol. 9(5), pages 3-20, November.
    • Handle: RePEc:inm:orinte:v:9:y:1979:i:5:p:3-20
    DOI: 10.1287/inte.9.5.3
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    Citations

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    Cited by:

    1. Ashwin Aravindakshan & Olivier Rubel & Oliver Rutz, 2015. "Managing Blood Donations with Marketing," Marketing Science, INFORMS, vol. 34(2), pages 269-280, March.
    2. Olivier Rubel & Prasad A. Naik, 2017. "Robust Dynamic Estimation," Marketing Science, INFORMS, vol. 36(3), pages 453-467, May.
    3. Pahl, Julia & Voß, Stefan, 2014. "Integrating deterioration and lifetime constraints in production and supply chain planning: A survey," European Journal of Operational Research, Elsevier, vol. 238(3), pages 654-674.
    4. Lowalekar, Harshal & Ravi, R. Raghavendra, 2017. "Revolutionizing blood bank inventory management using the TOC thinking process: An Indian case study," International Journal of Production Economics, Elsevier, vol. 186(C), pages 89-122.
    5. Turgay Ayer & Can Zhang & Chenxi Zeng & Chelsea C. White III & V. Roshan Joseph, 2019. "Analysis and Improvement of Blood Collection Operations," Service Science, INFORMS, vol. 21(1), pages 29-46, January.
    6. Beliën, Jeroen & Forcé, Hein, 2012. "Supply chain management of blood products: A literature review," European Journal of Operational Research, Elsevier, vol. 217(1), pages 1-16.
    7. Dursun Delen & Madhav Erraguntla & Richard Mayer & Chang-Nien Wu, 2011. "Better management of blood supply-chain with GIS-based analytics," Annals of Operations Research, Springer, vol. 185(1), pages 181-193, May.

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    Keywords

    health care: blood bank;

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