Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Modelis slimnīcas gultu noslogojumam× | Rindu teorija veselības aprūpē× | |
|---|---|---|
| Nozare | Veselības aprūpes vadība | Veselības aprūpes vadība |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2000 | 1909 |
| Autors≠ | Healthcare operations researchers | Agner Krarup Erlang |
| Tips≠ | Stochastic simulation and time-series forecasting | Stochastic modeling and optimization technique |
| Pirmavots≠ | 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 ↗ | Erlang, A. K. (1909). The theory of probabilities and telephone conversations. Nyt Tidsskrift for Matematik, 20(B), 33–39. link ↗ |
| Citi nosaukumi | Bed Occupancy Forecasting, Hospital Census Prediction | Healthcare Queuing, Queue Management Healthcare |
| Saistītās | 5 | 5 |
| Kopsavilkums≠ | 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. | Queuing theory is a mathematical discipline that models waiting lines, service capacity, and customer (patient) flow. Developed initially by Agner Erlang for telecommunications in 1909, it has been extensively applied to healthcare to analyze and optimize emergency departments, outpatient clinics, surgical suites, and diagnostic service centers. |
| ScholarGateDatu kopa ↗ |
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