隨著 AI 軟硬體市場的蓬勃發展,不只帶動了數位醫療健康產業,也產生了一些上個世代未曾面臨 (沒有引起足夠關注) 的問題。個人醫療數據的收集、管理、利用、串接與揭露等等重要事項,我們對此理解多少?目前台灣的個資法和全民健康保險法的規範、監督與執行,是否跟上了數位醫療的發展速度? The booming AI software and hardware market has not only boosted the digital healthcare industry, but has also brought about some problems that the previous generation did not face (or did not pay enough attention to). How much do we understand about important matters related to our personal data, such as the collection, management, use, connection and disclosure of health data? Are the current regulations, supervision, and enforcement of Taiwan’s Personal Data Protection Act (PDPA) and National Health Insurance (NHI) Act keeping up with the pace of digital healthcare development? 健康資訊系統對於資料收集的最重要特徵,是能夠及時收集、管理、分析和傳輸健康數據,以便管理人員能夠追蹤進度,並對系統提供回饋,以持續提高數據品質並用於做出決策。 The most important feature of data collection in a health information system is that the system should collect, manage, analyze, and disseminate health data in a timely manner, so that manager...