NDLI: Time series forecasting of medicare fund expenditures based on historical data

Content Provider	IEEE Xplore Digital Library
Author	Qu Gang Cui Shengnan Tang Jiafu
Copyright Year	2014
Description	Author affiliation: Dept. of Manage. Sci. & Eng., Dongbei Univ. of Finance & Econ., Dalian, China (Tang Jiafu) \|\| Dept. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China (Cui Shengnan) \|\| Dept. of Bus. Adm., Northeastern Univ., Shenyang, China (Qu Gang)
Abstract	With the development of medical and health services, as well as the advance of treatment technology, there are more health demands in our society. The rapid growth of the absolute value of medicare fund expenditures has put lots of pressures on countries' national health care system. However, the medical insurance fund is the direct key to the health care system. The increases of fund expenditures may cause a relatively shortage of fund and put pressures on the sustainable health care development. To respond to these issues, this paper analyzes the impact of medicare indicators on the medicare fund expenditures, and forecasts the monthly expenditure of medicare fund based on the method of time series forecasting, based on the historical data of medicare fund in the recent 5 years of Dalian, in order to prepare for policy adjustments and early warning. Eventually, it shows that medicare fund balances exist significant mean difference between the group of different medicare indicators. And forecasting error is 6.72%, which meets the actual demand.
Starting Page	2611
Ending Page	2615
File Size	200331
Page Count	5
File Format	PDF
ISBN	9781479937073
e-ISBN	9781479937080
DOI	10.1109/CCDC.2014.6852614
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Economics Fitting Time series analysis Medicare Fund Expenditures Insurance Medical services Time Series Forecast Medicare Fund Balances Variance Analysis Forecasting Medical diagnostic imaging
Content Type	Text
Resource Type	Article

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