A comparison of how MR released to the insurance company Assist Card from a Chinese medical facility Hengyang HP vs from a US facility Stutter Health was roughly displayed. The former MR was for Mafia, a Colombian Ass...A comparison of how MR released to the insurance company Assist Card from a Chinese medical facility Hengyang HP vs from a US facility Stutter Health was roughly displayed. The former MR was for Mafia, a Colombian Assist Card cardholder, worked and got hospitalized in China, the later MR for Kong Lijun, a Chinese StarrChina cardholder, visited and got medical treatments in USA, they shared Assist Card international traveling and insurance assistance. In both cases, Assist Card got MR for the patient from the facilities that gave them treatments. As a third party, Assist Card went through different procedures to claim MR from Hengyang HP vs from Stutter Health. It managed to have got three MRs and three FTF and was pushing a fourth MR from Hengyang HP in about ten days, while it got only one MR from Stutter Health in ten days after twists and turns. The over cooperative or obedient tendency toward Assist Card＇s requests made Hengyang HP vulnerable and controllable, while the strict MR release procedures in Stutter Health made Assist Card passive and helpless.展开更多
The structures of numerous industries, including the insurance industry, have been altered by the ongoing development of associated technologies. As the insurance industry undergoes this period of technology transform...The structures of numerous industries, including the insurance industry, have been altered by the ongoing development of associated technologies. As the insurance industry undergoes this period of technology transformation, it is important to recognize the key role that big data play in the industry. Most critically, the industry could not function without the utilization of big data, which explains to a large extent why every insurance company maintains its own numeric database. Relatedly, Taiwan＇s Bureau of National Health Insurance recently established the Information Integration Application Service Center, to which qualified companies and institutions can submit applications for permission to analyze the bureau＇s collected disease data according to stipulated regulations. In effect, access to the center＇s data provides insurance companies with a further means of improving their operational effectiveness through the analysis of big data, with targets for potential improvements including the various strategies utilized to react to changes in the environment, such as those involved in marketing, administrative management, and product pricing and services. The foundation of the present study consisted of a literature review and survey, with the key objective being to determine and discuss the effects of big data analysis on the medical insurance industry, including the changes that the utilization of big data results in for the customers of medical insurance companies. With the issues discussed above in mind, the survey was designed to determine whether medical insurance consumers know about and understand the effects of big data. The survey data indicated the following key findings： （1） The two concepts exhibit clear differences in terms of population statistic wxiables; （2） The two concepts exhibit clear differences in terms of insurance purchasing variables; and （3） The two concepts exhibit clear differences in terms of the level of understanding regarding big data.展开更多
文摘A comparison of how MR released to the insurance company Assist Card from a Chinese medical facility Hengyang HP vs from a US facility Stutter Health was roughly displayed. The former MR was for Mafia, a Colombian Assist Card cardholder, worked and got hospitalized in China, the later MR for Kong Lijun, a Chinese StarrChina cardholder, visited and got medical treatments in USA, they shared Assist Card international traveling and insurance assistance. In both cases, Assist Card got MR for the patient from the facilities that gave them treatments. As a third party, Assist Card went through different procedures to claim MR from Hengyang HP vs from Stutter Health. It managed to have got three MRs and three FTF and was pushing a fourth MR from Hengyang HP in about ten days, while it got only one MR from Stutter Health in ten days after twists and turns. The over cooperative or obedient tendency toward Assist Card＇s requests made Hengyang HP vulnerable and controllable, while the strict MR release procedures in Stutter Health made Assist Card passive and helpless.
文摘The structures of numerous industries, including the insurance industry, have been altered by the ongoing development of associated technologies. As the insurance industry undergoes this period of technology transformation, it is important to recognize the key role that big data play in the industry. Most critically, the industry could not function without the utilization of big data, which explains to a large extent why every insurance company maintains its own numeric database. Relatedly, Taiwan＇s Bureau of National Health Insurance recently established the Information Integration Application Service Center, to which qualified companies and institutions can submit applications for permission to analyze the bureau＇s collected disease data according to stipulated regulations. In effect, access to the center＇s data provides insurance companies with a further means of improving their operational effectiveness through the analysis of big data, with targets for potential improvements including the various strategies utilized to react to changes in the environment, such as those involved in marketing, administrative management, and product pricing and services. The foundation of the present study consisted of a literature review and survey, with the key objective being to determine and discuss the effects of big data analysis on the medical insurance industry, including the changes that the utilization of big data results in for the customers of medical insurance companies. With the issues discussed above in mind, the survey was designed to determine whether medical insurance consumers know about and understand the effects of big data. The survey data indicated the following key findings： （1） The two concepts exhibit clear differences in terms of population statistic wxiables; （2） The two concepts exhibit clear differences in terms of insurance purchasing variables; and （3） The two concepts exhibit clear differences in terms of the level of understanding regarding big data.
