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Business Analytics Assists Transitioning Traditional Medicine to Telemedicine at Virtual Radiologic

Author

Listed:
  • Ersin Körpeoğlu

    (Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Zachary Kurtz

    (Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Fatma Kılınç-Karzan

    (Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Sunder Kekre

    (Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Pat A. Basu

    (Doctor on Demand, San Francisco, California 94105)

Abstract

Virtual Radiologic (vRad), the largest teleradiology company in the United States, faces the difficult problem of matching more than 400 radiologists with time-varying and seasonal demand. In addition to the constraints that traditional medical facilities face, vRad is subject to supply and demand requirements that are unique to the teleradiology business environment. In this paper, we present a forecasting and capacity-planning model that more accurately assesses demand and plans system capacity to provide better service to vRad’s customers. We discuss the underlying reasons for improvement and quantify the impact on vRad’s entire system. We explain managerial insights that will help both vRad and other companies in the service sector with similar service-response requirements and demand patterns. We also highlight the implementation challenges our teams faced.

Suggested Citation

  • Ersin Körpeoğlu & Zachary Kurtz & Fatma Kılınç-Karzan & Sunder Kekre & Pat A. Basu, 2014. "Business Analytics Assists Transitioning Traditional Medicine to Telemedicine at Virtual Radiologic," Interfaces, INFORMS, vol. 44(4), pages 393-410, August.
    • Handle: RePEc:inm:orinte:v:44:y:2014:i:4:p:393-410
    DOI: 10.1287/inte.2014.0752
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    References listed on IDEAS

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    1. Huguette Beaulieu & Jacques Ferland & Bernard Gendron & Philippe Michelon, 2000. "A mathematical programming approach for scheduling physicians in the emergency room," Health Care Management Science, Springer, vol. 3(3), pages 193-200, June.
    2. Rodney B. Wallace & Ward Whitt, 2005. "A Staffing Algorithm for Call Centers with Skill-Based Routing," Manufacturing & Service Operations Management, INFORMS, vol. 7(4), pages 276-294, August.
    3. Rudy Hung, 1994. "Multiple-Shift Workforce Scheduling Under the 3--4 Workweek with Different Weekday and Weekend Labor Requirements," Management Science, INFORMS, vol. 40(2), pages 280-284, February.
    4. Simon N. Wood, 2003. "Thin plate regression splines," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(1), pages 95-114, February.
    5. Donald K. K. Lee & Stefanos A. Zenios, 2009. "Optimal Capacity Overbooking for the Regular Treatment of Chronic Conditions," Operations Research, INFORMS, vol. 57(4), pages 852-865, August.
    6. Mor Armony & Constantinos Maglaras, 2004. "On Customer Contact Centers with a Call-Back Option: Customer Decisions, Routing Rules, and System Design," Operations Research, INFORMS, vol. 52(2), pages 271-292, April.
    7. Sakine Batun & Brian T. Denton & Todd R. Huschka & Andrew J. Schaefer, 2011. "Operating Room Pooling and Parallel Surgery Processing Under Uncertainty," INFORMS Journal on Computing, INFORMS, vol. 23(2), pages 220-237, May.
    8. Carri W. Chan & Vivek F. Farias & Nicholas Bambos & Gabriel J. Escobar, 2012. "Optimizing Intensive Care Unit Discharge Decisions with Patient Readmissions," Operations Research, INFORMS, vol. 60(6), pages 1323-1341, December.
    9. Bar{i}c{s} Ata & Jan A. Van Mieghem, 2009. "The Value of Partial Resource Pooling: Should a Service Network Be Integrated or Product-Focused?," Management Science, INFORMS, vol. 55(1), pages 115-131, January.
    10. Stephen C. Graves, 1981. "A Review of Production Scheduling," Operations Research, INFORMS, vol. 29(4), pages 646-675, August.
    11. Ernst, A. T. & Jiang, H. & Krishnamoorthy, M. & Sier, D., 2004. "Staff scheduling and rostering: A review of applications, methods and models," European Journal of Operational Research, Elsevier, vol. 153(1), pages 3-27, February.
    12. Mahar, Stephen & Bretthauer, Kurt M. & Salzarulo, Peter A., 2011. "Locating specialized service capacity in a multi-hospital network," European Journal of Operational Research, Elsevier, vol. 212(3), pages 596-605, August.
    13. Noah Gans & Ger Koole & Avishai Mandelbaum, 2003. "Telephone Call Centers: Tutorial, Review, and Research Prospects," Manufacturing & Service Operations Management, INFORMS, vol. 5(2), pages 79-141, September.
    Full references (including those not matched with items on IDEAS)

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