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- W3008590386 abstract "An ageing population directly affects the volume and structure of hospital demands while raising concerns about both short- and long-term medical service accessibility. In this context, simulations can be used to facilitate understanding about population dynamics and the mechanisms driving healthcare service demands. This study’s primary goal was to determine, using a hybrid simulation technique, how demographic changes influenced the demand for inpatient hospital services. The studied model was used to predict how changes in the age-gender population distribution would affect future hospital inpatient service use among 17 hospital located in a large administrative region in Poland. The population model was constructed as a system dynamics model while patient pathways were modeled using a discrete event approach. Results showed that the hybrid model enabled analyses and insights that were not delivered by each sole method." @default.
- W3008590386 created "2020-03-06" @default.
- W3008590386 creator A5010063800 @default.
- W3008590386 date "2019-12-01" @default.
- W3008590386 modified "2023-09-25" @default.
- W3008590386 title "Combining Simulation Techniques to Understand Demographic Dynamics and Forecast Hospital Demands" @default.
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- W3008590386 doi "https://doi.org/10.1109/wsc40007.2019.9004855" @default.
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