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