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Epilogue

Published online by Cambridge University Press:  13 July 2023

Ramalingam Shanmugam
Affiliation:
Texas State University, San Marcos
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Summary

This epilogue recaps the major approaches to healthcare decision-making covered in this book, whether those decisions are reached by patients, insurance agents, government agents including policy makers, or healthcare professionals including hospital administrators.

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Chapter
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Publisher: Cambridge University Press
Print publication year: 2023

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References

Chattamvelli, R., & Shanmugam, R. (2019). Generating Functions in Engineering and the Applied Sciences. Synthesis Lectures on Engineering. Williston, VT: Morgan & Claypool.Google Scholar
Chattamvelli, R., & Shanmugam, R. (2020). Discrete Distributions in Engineering and the Applied Sciences. Williston, VT: Morgan & Claypool.CrossRefGoogle Scholar
Chattamvelli, R., & Shanmugam, R. (2021). Continuous distributions in engineering and the applied sciences: Part I. Synthesis Lectures on Mathematics and Statistics, 13(2), 1173.Google Scholar
Dolezel, D., Shanmugam, R., & Morrison, E. E. (2018). Are college students health literate? Journal of American College Health, 68(3), 242249. https://doi.org/10.1080/07448481.2018.1539001.Google Scholar
Marchau, V. A. W. J., Walker, W. E., Bloemen, P. J. T. M, & Popper, S. W. (2019). Decision Making under Deep Uncertainty: From Theory to Practice. New York: Springer.Google Scholar
Milkman, K. L., Chugh, D., & Bazerman, M. H. (2009). How can decision making be improved? Perspectives on Psychological Science, 4(4), 379383.Google Scholar
Provost, F., & Fawcett, T. (2013). Data science and its relationship to big data and data-driven decision making. Big Data, 1(1), 5159.CrossRefGoogle ScholarPubMed
Shanmugam, R. (2014a). Data envelopment analysis for operational efficiency. In Encyclopedia of Business Analytics and Optimization (Vol. 2), edited by Wang, J. (pp. 1828). New York: IGI Global.Google Scholar
Shanmugam, R. (2014b). Data guided public healthcare decision making. In Encyclopedia of Business Analytics and Optimization (Vol. 2), edited by Wang, J. (pp. 3043). New York: IGI Global.Google Scholar
Shanmugam, R. (2014). Stochastic frontier analysis and cancer survivability. In Encyclopedia of Business Analytics and Optimization (Vol. 5), edited by Wang, J. (pp. 1826). New York: IGI Global.Google Scholar
Shanmugam, R. (2016). Data guided unraveling of mysteries in Zika virus incidences. Kenkyu Journal of Epidemiology & Community Medicine, SI 20161(100101), 112.Google Scholar
Shanmugam, R., & Chattamvelli, R. (2015). Statistics for Scientists and Engineers. Hoboken, NJ: John Wiley Inter-Science.CrossRefGoogle Scholar
Young, A., & Kaffenberger, C. (2013). Making data work: a process for conducting action research. Journal of School Counseling, 11(2), n2.Google Scholar

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  • Epilogue
  • Ramalingam Shanmugam, Texas State University, San Marcos
  • Book: Data-Guided Healthcare Decision Making
  • Online publication: 13 July 2023
  • Chapter DOI: https://doi.org/10.1017/9781009212021.017
Available formats
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Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Epilogue
  • Ramalingam Shanmugam, Texas State University, San Marcos
  • Book: Data-Guided Healthcare Decision Making
  • Online publication: 13 July 2023
  • Chapter DOI: https://doi.org/10.1017/9781009212021.017
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Epilogue
  • Ramalingam Shanmugam, Texas State University, San Marcos
  • Book: Data-Guided Healthcare Decision Making
  • Online publication: 13 July 2023
  • Chapter DOI: https://doi.org/10.1017/9781009212021.017
Available formats
×