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

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Presentation on theme: "Resource allocation decisions in the Health System: the Monte Carlo simulation method."— Presentation transcript:

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

2 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 **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 method aims 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.  Binder, Kurt (1995). The Monte Carlo Method in Condensed Matter Physics. New York: Springer. ISBN  Hammersley, J. M.; Handscomb, D. C. (1975). Monte Carlo Methods. London: Methuen. ISBN  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

8 Nica Emanuela-Alisa, beneficiary of a postdoctoral research scholarship, project co-financed from the European Social Fund through the Sectoral Operational Program for Human Resources Development 2007 – 2013 Priority axis 1 “Education and training in support of economic growth and development of a knowledge-based society” Major area of intervention:1.5 “Doctoral and Postdoctoral Programs in support of research” Title of the project: “Postdoctoral Studies in health ethics policy” Contract Code: POSDRU/89/1.5/S/61879 Beneficiary: “Gr. T. Popa” University of Medicine and Pharmacy, Iaşi The content of this material does not necessarily represent the official position of the European Union or the Romanian Government


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