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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Article
A Study of Medical Insurance With Big Data in Taiwan
Author(s)
Jhih-Ling Chiu
Chun-Ya Chang
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DOI:10.17265/2328-2185/2018.05.009
Affiliation(s)
Ming Chuan University, Taipei, Taiwan
Ming Chuan University; Tokio Marine Newa Insurance Co., Ltd., Taipei, Taiwan
ABSTRACT
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 variables; (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.
KEYWORDS
big data, medical insurance, questionnaire survey
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