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| Warteschlangentheorie im Gesundheitswesen× | Patientenfluss-Simulation× | |
|---|---|---|
| Fachgebiet | Gesundheitsmanagement | Gesundheitsmanagement |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 1909 | 1990 |
| Urheber≠ | Agner Krarup Erlang | Operations research and management science |
| Typ≠ | Stochastic modeling and optimization technique | Discrete event simulation technique |
| Wegweisende Quelle≠ | Erlang, A. K. (1909). The theory of probabilities and telephone conversations. Nyt Tidsskrift for Matematik, 20(B), 33–39. link ↗ | Pidd, M. (1992). Computer Simulation in Management Science (3rd ed.). John Wiley & Sons. ISBN: 9780471939314 |
| Aliasnamen | Healthcare Queuing, Queue Management Healthcare | Healthcare DES, Patient Movement Simulation |
| Verwandt | 5 | 5 |
| Zusammenfassung≠ | 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. | 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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