Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Имитационное моделирование потоков пациентов× | Модель занятости больничных коек× | |
|---|---|---|
| Область | Управление здравоохранением | Управление здравоохранением |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1990 | 2000 |
| Автор метода≠ | Operations research and management science | Healthcare operations researchers |
| Тип≠ | Discrete event simulation technique | Stochastic simulation and time-series forecasting |
| Основополагающий источник≠ | 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 ↗ |
| Другие названия | Healthcare DES, Patient Movement Simulation | Bed Occupancy Forecasting, Hospital Census Prediction |
| Связанные | 5 | 5 |
| Сводка≠ | 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. |
| ScholarGateНабор данных ↗ |
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