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