Demand Forecasting And Planning of ICU Sector In Hospital

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Taherkhani Kadkhodaei, Ahmad | 2014

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 45193 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Kianfar, Farhad
Abstract:
This research conducted to achieve a pragmatic approach for the demand forecasting of ICU beds which is the one of most important services are provided by hospitals and medical centers and always has been challenging associated with capacity planning in many countries. Attaining such a method, ICU patients identified and categorized according to patients age and duration of hospitalization period. Then, as a case study, demanded ICU beds in Iran's hospitals predicted for three time horizons in 2021, 2031 and 2041 by use of regression model to forecast the population of identified patient categories which was extracted from Iran's demographic data in a 30-year period. The results indicated significant demand increase in ICU beds due to the escalation of senescent categories proportion in population compared with current ratios. Moreover, ICU needs was recognized to meet the expected demand, which was showed by research results
Keywords:
Demand Forecasting ; Regression Analysis ; Population Growth ; Intensive Care Unit (ICU) ; Age Groups

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