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| Προσομοίωση Ροής Ασθενών× | Μοντέλο Πληρότητας Κλινών Νοσοκομείου× | |
|---|---|---|
| Πεδίο | Διοίκηση Υπηρεσιών Υγείας | Διοίκηση Υπηρεσιών Υγείας |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 1990 | 2000 |
| Δημιουργός≠ | Operations research and management science | Healthcare operations researchers |
| Τύπος≠ | Discrete event simulation technique | Stochastic simulation and time-series forecasting |
| Θεμελιώδης πηγή≠ | 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 ↗ |
| Εναλλακτικές ονομασίες | Healthcare DES, Patient Movement Simulation | Bed Occupancy Forecasting, Hospital Census Prediction |
| Συναφείς | 5 | 5 |
| Σύνοψη≠ | 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. |
| ScholarGateΣύνολο δεδομένων ↗ |
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