השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| מודל תפוסת מיטות בבית חולים× | תורת התורים ברפואה× | |
|---|---|---|
| תחום | ניהול מערכות בריאות | ניהול מערכות בריאות |
| משפחה | Process / pipeline | Process / pipeline |
| שנת המקור≠ | 2000 | 1909 |
| הוגה השיטה≠ | Healthcare operations researchers | Agner Krarup Erlang |
| סוג≠ | Stochastic simulation and time-series forecasting | Stochastic modeling and optimization technique |
| מקור מכונן≠ | 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 ↗ |
| כינויים | Bed Occupancy Forecasting, Hospital Census Prediction | Healthcare Queuing, Queue Management Healthcare |
| קשורות | 5 | 5 |
| תקציר≠ | 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. |
| ScholarGateמערך נתונים ↗ |
|
|