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| 病院ベッド稼働率モデル× | 患者フローシミュレーション× | |
|---|---|---|
| 分野 | 医療経営学 | 医療経営学 |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | 2000 | 1990 |
| 提唱者≠ | Healthcare operations researchers | Operations research and management science |
| 種類≠ | Stochastic simulation and time-series forecasting | Discrete event simulation technique |
| 原典≠ | 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 |
| 別名 | Bed Occupancy Forecasting, Hospital Census Prediction | Healthcare DES, Patient Movement Simulation |
| 関連 | 5 | 5 |
| 概要≠ | 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. |
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