Presentation on theme: "Resource allocation decisions in the Health System: the Monte Carlo simulation method."— Presentation transcript:
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 firstname.lastname@example.org **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
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.
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.
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.
Key words: Monte Carlo Method, resource, Health System.
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.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.
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