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,.**
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
[email protected]
**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.
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References:
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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.
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