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A Conceptual Platform for Understanding and Managing Complex Service Enterprises: Case Studies in the Transformation of Healthcare Delivery

  • William B. Rouse
  • Michael J. Pennock
  • Zhongyuan Yu
  • Kara M. Pepe
Chapter
Part of the Translational Systems Sciences book series (TSS, volume 11)

Abstract

The nature of service delivery enterprises is explored in the context of transforming such enterprises to achieve substantially improved effectiveness and efficiency in delivering service outcomes. The impacts of the architectures of service enterprises are considered in terms of multilevel enterprise models. A methodology for developing such models is presented. Computational versions of such models are discussed. Five case studies are summarized that illustrate the application of this conceptual platform to several aspects of health and healthcare.

Keywords

Enterprise transformation Multi-level modeling Computational modeling Healthcare delivery 

References

  1. Baumol, W. J. (1967). Macroeconomics of unbalanced growth: The anatomy of urban crises. American Economic Review, 57, 415–426.Google Scholar
  2. Baumol, W. J., & Bowen, W. B. (1966). Performing arts: The economic dilemma. New York: Twentieth Century Fund.Google Scholar
  3. Boustany, K., Pennock, M. J., Bell, T., Boustani, M., & Rouse, W. B. (2016). Leveraging computer simulation models in healthcare delivery redesign. Indianapolis: Indiana University Health, Aging Brains Care Center.Google Scholar
  4. Buntin, M. B., & Ayanian, J. Z. (2017). Social risk factors and equity in Medicare payment. New England Journal of Medicine., 376(6), 507–510.CrossRefGoogle Scholar
  5. Butler, S. M., Matthew, D. B., & Cabello, M. (2017). Re-balancing medical and social spending to promote health: Increasing state flexibility to improve health through housing. Washington, DC: Brookings Institution.Google Scholar
  6. Cooper, R. (2016). Poverty and the myths of health care reform. Baltimore: Johns Hopkins University Press.Google Scholar
  7. Deming, W. E. (1986). Out of crisis. Cambridge, MA: MIT Press.Google Scholar
  8. Emery, F., & Trist, E. (1973). Toward a social ecology. London: Plenum Press.Google Scholar
  9. Grossman, C., Goolsby, W. A., Olsen, L., & McGinnis, J. M. (2011). Engineering the learning healthcare system. Washington, DC: National Academy Press.Google Scholar
  10. Hendrick, H. W., & Kleiner, B. M. (2001). Macroergonomics: An introduction to work system design. Santa Monica: Human Factors and Ergonomics Society.Google Scholar
  11. LaMantia, M. A., Alder, C. A., Austrom, M. G., Cottingham, A. J., Litzelman, D. K., Boustany, K. C., & Boustani, M. A. (2014). The aging brain care medical home program: Accomplishments and lessons learned at one year. Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, 10(4), P209.CrossRefGoogle Scholar
  12. Naylor, M. D. (2012). Advancing high value transitional care: The central role of nursing and its leadership. Nursing Administration Quarterly, 36, 115–126.CrossRefGoogle Scholar
  13. Naylor, M. D., Hirschman, K. B., Hanlon, A. L., et al. (2014). Comparison of evidence-based interventions on outcomes of hospitalized, cognitively impaired older adults. Journal of Comparative Effectiveness Research., 3(3), 245–257.CrossRefGoogle Scholar
  14. Park, H., Clear, T., Rouse, W. B., Basole, R. C., Braunstein, M. L., Brigham, K. L., & Cunningham, L. (2012). Multi-level simulations of health delivery systems. A prospective tool for policy, strategy, planning and management. Journal of Service Science, 4(3), 253–268.CrossRefGoogle Scholar
  15. Pennock, M. J., Bodner, D. A., & Rouse, W. B. (2017). Lessons learned from evaluating an enterprise modeling methodology. IEEE Systems Journal, in press.Google Scholar
  16. Rouse, W. B. (1998). Computer support of collaborative planning. Journal of the American Society for Information Science, 49(9), 832–839.CrossRefGoogle Scholar
  17. Rouse, W. B. (2001). Essential challenges of strategic management. New York: Wiley.Google Scholar
  18. Rouse, W. B. (2005). A theory of enterprise transformation. Journal of Systems Engineering, 8(4), 279–295.CrossRefGoogle Scholar
  19. Rouse, W. B. (Ed.). (2006). Enterprise transformation: Understanding and enabling fundamental change. Hoboken: John Wiley.Google Scholar
  20. Rouse, W. B. (2007). People and organizations: Explorations of human-centered design. New York: Wiley.CrossRefGoogle Scholar
  21. Rouse, W. B. (2009). Engineering perspectives on healthcare delivery: Can we afford technological innovation in healthcare? Journal of Systems Research and Behavioral Science, 26, 1–10.CrossRefGoogle Scholar
  22. Rouse, W. B. (2010a). Impacts of healthcare price controls: Potential unintended consequences of firms’ responses to price policies. IEEE Systems Journal, 4(1), 34–38.CrossRefGoogle Scholar
  23. Rouse, W. B. (Ed.). (2010b). The economics of human systems integration: Valuation of Investments in people’s training and education, safety and health, and work productivity. New York: Wiley.Google Scholar
  24. Rouse, W. B. (2014). Human interaction with policy flight simulators. Journal of Applied Ergonomics, 45(1), 72–77.CrossRefGoogle Scholar
  25. Rouse, W. B. (2015). Modeling and visualization of complex systems and enterprises: Explorations of physical, human, economic, and social phenomena. Hoboken: Wiley.CrossRefGoogle Scholar
  26. Rouse, W. B. (2016). Universities as complex enterprises: How academia works, why it works these ways, and where the university enterprise is headed. Hoboken: Wiley.CrossRefGoogle Scholar
  27. Rouse, W. B., & Boff, K. R. (Eds.). (2005). Organizational simulation: From modeling and simulation to games and entertainment. New York: Wiley.Google Scholar
  28. Rouse, W. B., & Cortese, D. A. (Eds.). (2010). Engineering the system of healthcare delivery. Amsterdam: IOS Press.Google Scholar
  29. Rouse, W. B., & Serban, N. (2014). Understanding and managing the complexity of healthcare. Cambridge, MA: MIT Press.Google Scholar
  30. Rouse, W. B., Pennock, M. J., Oghbaie, M., & Liu, C. (2016). Interactive visualizations for decision support: Application of Rasmussen’s abstraction-aggregation hierarchy. Journal of Applied Ergonomics, 47, 59, 541–553. in press.CrossRefGoogle Scholar
  31. Rouse, W. B., Johns, M. M. E., & Pepe, K. (2017a). Learning in the healthcare enterprise. Journal of Learning Health Systems, in press.Google Scholar
  32. Rouse, W. B., Naylor, M., Pennock, M. J., Yu, Z., Pepe, K. M., Hirschman, K. B., & Pauly, M. V. (2017b). The use of policy simulation to implement the transitional care model. Hoboken: Center for Complex Systems and Enterprises, Stevens Institute of Technology.Google Scholar
  33. Sullivan, K. R. (2016). Visualizing the social determinants of health. Hoboken: MS Project, School of Systems and Enterprises, Stevens Institute of Technology.Google Scholar
  34. Tolk, A. (2014). Ontology, epistemology, and teleology for modeling and simulation: Philosophical foundations for intelligent M&S applications. Berlin: Springer.Google Scholar
  35. White, J. A., Schmidt, W., & Bennett, G. K. (2012). Analysis of queueing systems. New York: Elsevier.Google Scholar
  36. Yu, Z., Rouse, W. B., Serban, S., & Veral, E. (2016). A data-rich agent-based decision support model for hospital consolidation. Journal of Enterprise Transformation, 6(3/4), 136–161.CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • William B. Rouse
    • 1
  • Michael J. Pennock
    • 1
  • Zhongyuan Yu
    • 1
  • Kara M. Pepe
    • 1
  1. 1.Stevens Institute of TechnologyHobokenUSA

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