Abstract
In relation to healthcare big data policy, various issues and conflicts are arising from the perspective of healthcare information protection and use. In particular, conflicts among political actors intensified as issues related to healthcare big data policy were not resolved even during the National Assembly review process. Therefore, the purpose of this article is to reveal factors causing conflict and consider improvement plans through analysis of the National Assembly legislative process and of the conflict factors in actors related to healthcare big data policy. To this end, we analyze the case of amendments to the Insurance Business Act related to the computerization of medical indemnity insurance claims, which can be defined as a recently enacted healthcare big data policy. As a result of the analysis, issues include the accumulation of sensitive personal medical information by private insurance companies, the use of the accumulated big data for purposes other than the purpose, the problem of medical institutions providing personal medical information such as medical records to third parties, the problem of system legitimacy of the Medical Service Act, Pharmaceutical Affairs Act, and Insurance Business Act, the problem of the patient’s right to request transmission of data other than own, and the problem of the right to self-determination regarding the scope and method of transmission of data were presented. This became a factor in causing conflict, with the government and insurance industry taking a pro stance and the medical community and patient groups taking a strong opposing stance. To resolve issues and conflicts, It is necessary to implement improvement measures such as establishing a governance structure to resolve system legitimacy between laws between standing committees during the review process of the National Assembly, setting patient-centered policy directions, strengthening selfdetermination and control rights over healthcare big data, and setting policy directions that prioritize the protection of healthcare big data.
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