Business Analytics Assists Transitioning Traditional Medicine to Telemedicine at Virtual Radiologic

Ersin Körpeoğlu (), Zachary Kurtz (), Fatma Kılınç-Karzan (), Sunder Kekre () and Pat A. Basu ()
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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

Interfaces, 2014, vol. 44, issue 4, 393-410

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.

Keywords: business analytics; capacity planning; forecasting; optimization; healthcare industry (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:44:y:2014:i:4:p:393-410

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