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| Teoria kolejek w ochronie zdrowia× | Efektywność szpitali w DEA× | |
|---|---|---|
| Dziedzina | Zarządzanie opieką zdrowotną | Zarządzanie opieką zdrowotną |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 1909 | 1978 |
| Twórca≠ | Agner Krarup Erlang | Abraham Charnes, William Cooper, Edward Rhodes |
| Typ≠ | Stochastic modeling and optimization technique | Non-parametric frontier estimation technique |
| Źródło pierwotne≠ | Erlang, A. K. (1909). The theory of probabilities and telephone conversations. Nyt Tidsskrift for Matematik, 20(B), 33–39. link ↗ | Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. DOI ↗ |
| Inne nazwy | Healthcare Queuing, Queue Management Healthcare | Hospital DEA, Healthcare DEA |
| Pokrewne | 5 | 5 |
| Podsumowanie≠ | 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. | Data Envelopment Analysis (DEA) is a linear programming technique for measuring the relative efficiency of multiple hospitals using multiple inputs and outputs. Introduced by Charnes, Cooper, and Rhodes in 1978, DEA has become the standard method for benchmarking hospital performance in healthcare systems worldwide. |
| ScholarGateZbiór danych ↗ |
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