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Resource allocation decisions in the Health System: the Monte Carlo simulation method

Resource allocation decisions in the Health System: the Monte Carlo simulation method. Resource allocation decisions in the Health System: the Monte Carlo simulation method. Emanuela-Alisa NICA, Ph.D. Senior Lecturer * Virgil Constantin FĂTU, .**

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Resource allocation decisions in the Health System: the Monte Carlo simulation method

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  1. Resource allocation decisions in the Health System: the Monte Carlo simulation method

  2. Resource allocation decisions in the Health System: the Monte Carlo simulation method Emanuela-Alisa NICA, Ph.D. Senior Lecturer* Virgil Constantin FĂTU,.** Ovidiu STAMATIN , Ph.D. Assistant Professor *** *Postdoctoral Center for Health Policy and Ethics, “Gr. T. Popa” University of Medicine and Pharmacy Iasi, Ph.D. Senior Lecturer at the Faculty of Political and Administrative Sciences, “Petre Andrei “ University of  Iasi alice_nica@yahoo.com **Petre Andrei “ University of  Iasi  ***Ph.D. Assistant Professor at “Grigore T. Popa“ University of Medicine and Pharmacy Iasi, Postdoctoral Center for Health Policy and Ethics, “Grigore T. Popa” University of Medicine and Pharmacy Iasi

  3. Abstract: The notions regarding operational research are based on various mathematical and statistical methods used in decision-making, among which the Monte Carlo simulation method is a worth mentioning example.

  4. The first references to this simulation method date back in 1940 and they are attributed to the researchers John Von Neumann, Stanislaw Ulam and Nicholas Metropolis.

  5. The paper Resource allocation decisions in the Health System: the Monte Carlo simulation methodaims to apply the Monte Carlo simulation method to the resource allocation decisions within the health system.

  6. Key words: • Monte Carlo Method, • resource, • Health System.

  7. References: • Anderson, H.L. (1986). Metropolis, Monte Carlo and the MANIAC, Los Alamos Science 14: 96–108. http://library.lanl.gov/cgi-bin/getfile?00326886.pdf. • Binder, Kurt (1995). The Monte Carlo Method in Condensed Matter Physics. New York: Springer. ISBN 0-387-54369-4. • Hammersley, J. M.; Handscomb, D. C. (1975). Monte Carlo Methods. London: Methuen. ISBN 0-416-52340-4. • Hendry, D. F. (1984). Monte Carlo experimentation in econometrics. In Handbook of Econometrics, Volume II, Chapter 13. Z. Griliches and M. D. Intriligator (eds), Amsterdam, North Holland. • Sawilowsky, Shlomo S.; Fahoome, Gail C. (2003). Statistics via Monte Carlo Simulation with Fortran. Rochester Hills, MI: JMASM. ISBN 0-9740236-0-4.

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