Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Model obsazenosti lůžek v nemocnici× | Simulace toku pacientů× | |
|---|---|---|
| Obor | Management zdravotní péče | Management zdravotní péče |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 2000 | 1990 |
| Tvůrce≠ | Healthcare operations researchers | Operations research and management science |
| Typ≠ | Stochastic simulation and time-series forecasting | Discrete event simulation technique |
| Původní zdroj≠ | Tikk, D., Kóczy, L. T., & Gedeon, T. D. (2003). A survey on fuzzy relational equations and their applications in web intelligence. In W. Pedrycz (Ed.), Handbook of Granular Computing (pp. 521–542). John Wiley & Sons. link ↗ | Pidd, M. (1992). Computer Simulation in Management Science (3rd ed.). John Wiley & Sons. ISBN: 9780471939314 |
| Další názvy | Bed Occupancy Forecasting, Hospital Census Prediction | Healthcare DES, Patient Movement Simulation |
| Příbuzné | 5 | 5 |
| Shrnutí≠ | Hospital bed occupancy models forecast the number of occupied beds at future times by analyzing admission patterns, length of stay distributions, and discharge dynamics. These models support tactical decisions about staffing, supply chain management, and strategic decisions about capacity expansion. | Discrete Event Simulation (DES) is a computational technique that models the movement of patients through healthcare facilities by simulating individual patient journeys and interactions with resources (staff, beds, equipment). DES allows realistic representation of complex, stochastic healthcare processes and supports 'what-if' analysis without disrupting live operations. |
| ScholarGateDatová sada ↗ |
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