As of January 2022, 16.91% of Taiwan’s population was over the age of 65, and a 2017 study indicated that 94.2% of patients who required long-term care in Taiwan received home care. This study produced a “post-home care patient information survey” to understand the characteristics of home care patients and the volume and results of home care and investigate the relationships between them. Different diagnoses were found to have no significant effect on the volume or results of home care. Positive correlations were found between the services patients required and the volume of home care and specific results. Volume and specific results were also positively correlated. The termination of home care was primarily due to medical needs (98.6%). As the Taiwanese population ages, home care must be improved, and the conditions for which patients can receive home care should be expanded. Care services should replace diagnoses in determining benefit standards for home care payments.

To prevent medical costs from rising, the National Health Insurance administration implemented the global budget system for financial reform, effective 1 July 2004. Since the implementation of this system, patients have been required to pay for some medicines to limit costs to the system. More recently, as they have faced constant increases in health insurance fees and also faced an increase in the number of medical expenses they must pay during an economic recession and a rise in unemployment, would the economic burden on the people of Taiwan not be increased? Even though National Health Insurance is a form of social insurance, does it guarantee social equality? The value of the healthcare industry is irreplaceable, so the most critical concern is whether worsening doctor-patient relationships will worsen healthcare quality. In short, while the global budget system saves on National Health Insurance costs, whether its implementation has affected healthcare quality is also worth exploring. This commentary also hopes to serve as a reference for the implementation of national health insurance in the United States.

Disability insurance in Taiwan is covered by social insurance benets provided by the government and by commercial insurance benets. Taiwanese life insurance companies have offered disability insurance packages for decades to provide security for those unable to work. This study explored the awareness of, understanding, and willingness to pay for disability insurance in Taiwan. Aquestionnaire was designed and distributed to 500 individuals insured by a single Taiwanese insurance company to investigate the factors that inuenced their purchase of disability insurance and their willingness to pay for disability insurance. Statistical results showed 13.5% of respondents had purchased disability insurance, 69.3% expressed willingness to pay, and 52.5% were unaware of disability insurance. Hypothetical provision of long-term care insurance was not likely to affect willingness to pay for disability insurance. There is much room for future development in terms of the willingness to pay for disability insurance, as it was not translated into actual purchase among the participants.

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.