دانلود مقاله ISI انگلیسی شماره 78440
ترجمه فارسی عنوان مقاله

مدل سازی شبیه سازی برای پیمانکار خدمات اورژانس بیمارستان در سطح منطقه

عنوان انگلیسی
Simulation modelling for contracting hospital emergency services at the regional level
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
78440 2014 13 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : European Journal of Operational Research, Volume 235, Issue 1, 16 May 2014, Pages 287–299

ترجمه کلمات کلیدی
OR در خدمات بهداشتی - شبیه سازی؛ بیمارستان؛ خدمات ضروری؛ پیمانکاری
کلمات کلیدی انگلیسی
OR in health services; Simulation; Hospitals; Emergency services; Contracting
پیش نمایش مقاله
پیش نمایش مقاله  مدل سازی شبیه سازی برای پیمانکار خدمات اورژانس بیمارستان در سطح منطقه

چکیده انگلیسی

Hospital emergency services are closely connected to demographic issues and population changes. The methodology presented here helps to assess the effects of the forecasted demand changes on the next-year emergency unit workloads. The objective of the study is to estimate the expected volume of emergency hospital services, as measured by the number and costs of medical procedures provided to patients, to be contracted by the Polish National Health Fund (NFZ) branch at the regional level to cover the forecasted demand. A discrete-event simulation model was developed to elaborate the credible forecasts of the function components, the fundamental elements of the contract values granted by the NFZ for emergency departments for the following year. Emergency department-level data were drawn from the NFZ regional branch registry to perform a statistical analysis of emergency services provided to patients in 17 admission units and emergency wards in 2010. The model results indicate that the predicted increase in two age groups, i.e., the youngest children and the older population, will have different effects on the number and value of hospital emergency services to be considered in the contracting policy. There is potential for a discrete-event simulation to support strategic health policy decision making at the regional level. The value of this approach lies in providing estimates for the what-if scenarios related to the prognosis of changing acute demand.