台灣已逐步進入高齡化社會，健康照護、醫療保險成為許多人關注的議題。在全世界資訊系統愈來愈發達的情形下，醫療大數據已經重新定義了醫療保健的提供模式。相較大數據在其他行業的運用朝向「客製化」、「精準化」的發展。在未來大數據的浪潮下，醫療大數據的進一步發展就必須建立在資料庫連結的一個前提。醫療行政是政府、醫院、醫師、藥物、患者醫療保險(花費)這六大因素配置，本研究透過彙集因醫療行業運轉所產生的資料進行連結所產生之數據進行分析，達到資源最佳配置與多贏的局面，降低醫療工作人員的負擔，使其可以更容易做出精準的醫療判斷，為此本研究之動機。台灣在1995年實施全民健康保險，讓國人在醫療品質上有安全保障同時也累積龐大的健保資料庫，更於2000年開放產官學研究於非商業性質研究，提供醫療用藥安全、醫療健康科技、健保醫療經濟及財務學的研究與政策制定的參考與依據；本次研究的範圍為2001年~2013年之間，而醫療大數據分析及應用成為健康醫療的顯學，可以用於藥物安全分析，並累積挖掘許多醫療知識，為健康醫療安全把關及知識的增進，同時提升民眾對醫療資源浪費認知度提高。為本文對國家發展的預期成果。未來影響台灣經濟面向的人口議題，亦是人口年齡的結構變化，而非人口數量的變化，人口老化將導致健康照護，社會保險及福利支出的增加，造成國家整體財政負擔加重，進而使得年輕世代勞動者負擔變大。因此，人口老化帶來國家社會面臨更多挑戰，既然人口老化帶來衝擊無法避免，如何透過政策來提高老人人口的社會價值，為本研究報告探討範圍，提出未來預期成果及貢獻。

Taiwan has gradually entered the aging society. Health care and medical insurance have become the topics of concern for many people. In the world where information systems are increasingly developed, medical big data has redefined the pattern of healthcare delivery. The use of larger data in other industries is oriented towards the development of "customized" and "precision." In the wave of big data in the future, the further development of medical big data must be based on the premise of a database link. Medical administration is a configuration of six factors: government, hospitals, physicians, medicines, and patient medical insurance (costs). This study analyzes the data generated by linking data generated by the operation of the medical industry to achieve the optimal allocation of resources. A win-win situation reduces the burden on medical staff and makes it easier to make accurate medical judgments. This is the motivation for this study. In 1995, Taiwan implemented universal health insurance, allowing people to have a safe and secure medical quality while also accumulating a huge database of health insurance. In 2000, it also opened up the study of official production in non-commercial nature, providing medical drug safety, medical and health technology. The reference and basis for the study and policy formulation of health care and finance for health care and health care; In 2001~2013 the analysis and application of medical big data has become the epidemiology of health care, and can be used for drug safety analysis, and has accumulated a lot of medical knowledge to ensure the safety of health care. The improvement of knowledge, while enhancing the public awareness of the waste of medical resources. This is the expected result of the development of the country for this article. The population issues that affect Taiwan’s economy in the future are also structural changes in the age of the population, rather than changes in the population. The aging of the population will lead to health care, social insurance and welfare expenditures will increase, causing the country’s overall financial burden to increase, which in turn will make young generations. As the burden on workers becomes greater, the aging of the population has brought more challenges to the national society. Since the impact of aging on the population cannot be avoided, how to increase the social value of the elderly population through policies will explore the scope of this research report and propose future expected results. And contribution.