Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Simulación del Flujo de Pacientes× | Modelo de Ocupación de Camas Hospitalarias× | |
|---|---|---|
| Campo | Gestión sanitaria | Gestión sanitaria |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1990 | 2000 |
| Autor original≠ | Operations research and management science | Healthcare operations researchers |
| Tipo≠ | Discrete event simulation technique | Stochastic simulation and time-series forecasting |
| Fuente seminal≠ | Pidd, M. (1992). Computer Simulation in Management Science (3rd ed.). John Wiley & Sons. ISBN: 9780471939314 | 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 ↗ |
| Alias | Healthcare DES, Patient Movement Simulation | Bed Occupancy Forecasting, Hospital Census Prediction |
| Relacionados | 5 | 5 |
| Resumen≠ | 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. | 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. |
| ScholarGateConjunto de datos ↗ |
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