विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| रोगी प्रवाह सिमुलेशन× | अस्पताल बिस्तर अधिभोग मॉडल× | |
|---|---|---|
| क्षेत्र | स्वास्थ्य सेवा प्रबंधन | स्वास्थ्य सेवा प्रबंधन |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1990 | 2000 |
| प्रवर्तक≠ | Operations research and management science | Healthcare operations researchers |
| प्रकार≠ | Discrete event simulation technique | Stochastic simulation and time-series forecasting |
| मौलिक स्रोत≠ | 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 ↗ |
| उपनाम | Healthcare DES, Patient Movement Simulation | Bed Occupancy Forecasting, Hospital Census Prediction |
| संबंधित | 5 | 5 |
| सारांश≠ | 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. |
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