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Medicina (Buenos Aires)
Print version ISSN 0025-7680On-line version ISSN 1669-9106
Abstract
ANDRADE, Marina C; URGILES, Paúl T and ESTRELLA, María A. Tecnologías de la información y comunicación en el desarrollo de modelos estocásticos aplicados al sector de la salud. Medicina (B. Aires) [online]. 2020, vol.80, n.1, pp.31-38. ISSN 0025-7680.
A stochastic simulation model allows to study and represents in a simplified manner the behavior of complex variables in terms of probability. In this context, the objective of this work is to present, through the use of information and communication technology tools, the applicability of simulation models and methods, in studies of indicators within the health sector. Through the development of a case study, this work demonstrates the potential of the @Risk and Excel technological tools in the construction of stochastic models that allow health professionals to predict, monitor and support decision making in the treatment and monitoring of indicators and indices of a population.
Keywords : Simulation model; Monte Carlo; Body mass index; Information and communication technologies.