醫療大數據-痛風用藥指標的建立與應用

本次研究意在探討如何以用藥量的變化來建立指標以及如何應用該指標，使得醫療就診資料庫不再僅是作為記錄用，可以提供額外更多的價值讓疾病相關的廠商、醫療機構、政府等關係人，能藉由用藥指標去推測未來的情況變化，再依照不同的情勢，對決策作出不同的調整，希冀本次研究可以做為醫療就診資料庫創新的先鋒，以期未來依據不同的病症，找出各自適合的模式去建立該疾病的指標，將就診資料庫的價值最大化。本次研究採用某一醫療體系的就診資料庫，其在六個直轄市:台北市、新北市、桃園市、台中市、台南市、高雄市所遍及診所的資料庫，期間坐落於2015年6月至2017年6月共計25個月的患者就診紀錄，利用患者每次領取藥的用藥量以及每次領取藥中間所間隔的天數作為研究數據，建立其活躍度指標，另外配合網路聲量，探討其活躍度指標的變化、網路聲量與該疾病最相關的因素之關係研究，。以痛風為例，推測得出酒類實徵淨額領先痛風活躍度指標約1至2個月，而網路聲量領先2至4個月，皆可作為預測痛風用藥量變化的參考數據。

關鍵字

顧客活躍性指標；痛風；酒稅；尿酸；網路聲量

並列摘要

This study aims to explore how to establish index based on changes in drug consumption and how to apply the index in the future. The result of this study makes medical visits database no longer a medical record, but can provide additional value for stakeholders, such as pharmaceutical companies, medical institutions, and Government. The drug index enables those stakeholders to speculate about future changes, and to make adjustments to the decisions in accordance with different situations. The researcher expects this study can be viewed as a pioneer in the innovation of medical visits database, and hopes future researchers could use appropriate models to establish indexes based on different diseases, and maximize the value of the medical visits database. X Hospital provides this study the medical visits data from six major cities—Taipei City, New Taipei City, Taoyuan City, Taichung City, Tainan City, and Kaohsiung City. The data period ranges from June 2015 to June 2017, a total of 25 months of medical visits. The study adopts the drug consumption of each prescription and the days between each prescription as research data to establish activity index. The other data is internet voice related to the disease. After that, the study examines the relationship between changes in the activity index, the most relevant causes of the disease, and internet voice. Taking gout as example, the wine tax leads ahead gout activity index one to two months, and the internet voice regarding gout ahead of index two to four months. Both of two data enable to provide valid information to improve the prediction of gout medicine consumption.