Stroke and Big Data

2020 神醫中心學術演講

日期 : 9月 24日星期四

時間 : 上午10:30 

地點 : 國衛院竹南院區/ 行政大樓B1第6會議室

主題 : Stroke and Big Data

講師 : Tsong-Hai Lee ( 李宗海), M.D., Ph.D.




Stroke is the fourth leading cause of death in Taiwan and the first leading cause in China and most Asian countries. Stroke is also the most important cause to cause impaired daily activity.

The etiology of stroke is multi-factorial, and many factors may predispose to stroke and result in poor stroke outcome. Whether stroke can be predictive, preventive and managed earlier to improve outcome may depend on big data and multidisciplinary collaboration.

Big data of stroke including clinical profiles, images, genetics, metabolomics  can be a good way to improve stroke research and establish new stroke management model to improve stroke outcome. The quality of outcomes data such as mortality, adverse events, and disability can vary by type and timing of the collected data, such as the in-hospital, short-term or long-term periods. There are 3 main approaches for collecting outcomes data after stroke, clinical studies, clinical stroke registries and administrative data. We are working on the linkage between clinical stroke registries (Chang Gung Stroke Databank) and administrative data (National Health Insurance Research Databank) to improve our stroke research. Some of the results will be presented to share with you.



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