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Multilevel Simulations of Health Delivery Systems: A Prospective Tool for Policy, Strategy, Planning, and Management

Author

Listed:
  • Hyunwoo Park

    (Tennenbaum Institute, Georgia Institute of Technology, Atlanta, Georgia 30308)

  • Trustin Clear

    (Tennenbaum Institute, Georgia Institute of Technology, Atlanta, Georgia 30308)

  • William B. Rouse

    (Tennenbaum Institute, Georgia Institute of Technology, Atlanta, Georgia 30308)

  • Rahul C. Basole

    (Tennenbaum Institute, Georgia Institute of Technology, Atlanta, Georgia 30308)

  • Mark L. Braunstein

    (Tennenbaum Institute, Georgia Institute of Technology, Atlanta, Georgia 30308)

  • Kenneth L. Brigham

    (Center for Health Discovery and Well Being, Predictive Health Institute, Emory University, Atlanta, Georgia 30308)

  • Lynn Cunningham

    (Center for Health Discovery and Well Being, Predictive Health Institute, Emory University, Atlanta, Georgia 30308)

Abstract

Computer simulations are effective tools for addressing enterprise transformation in terms of alternative organizational policies, operating procedures, and allocations of resources. We present a multilevel approach to computationally model health delivery enterprises. This approach is illustrated by its application to an employer-based prevention and wellness program. The decision of interest in this application concerns the design of prevention and wellness programs that are self-sustaining and provide a positive return on investment for the overall enterprise. The nature of this decision is shown to have enormous implications for how delivery services are organized.

Suggested Citation

  • Hyunwoo Park & Trustin Clear & William B. Rouse & Rahul C. Basole & Mark L. Braunstein & Kenneth L. Brigham & Lynn Cunningham, 2012. "Multilevel Simulations of Health Delivery Systems: A Prospective Tool for Policy, Strategy, Planning, and Management," Service Science, INFORMS, vol. 4(3), pages 253-268, September.
    • Handle: RePEc:inm:orserv:v:4:y:2012:i:3:p:253-268
    DOI: 10.1287/serv.1120.0022
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