北京大学新型冠状病毒肺炎(COVID-19)防控攻关专项(PKU2020PKYZX003)；北京大学医学部抗击新型冠状病毒肺炎(COVID-19)重大传染病专项(BMU2020HKYZX007)；国家自然科学基金重大研究计划培育项目(91846101)；国家自然科学基金面上项目(72074006)；北京市科技新星计划交叉学科合作课题(Z191100001119008)；国家重点研发计划项目(2018AAA0102100)；北京市高精尖学科建设项目(BMU2019GJJXK001)；北大 - 百度基金(2019BD017)
The problems of medical decision-making caused by medical uncertainty during the coronavirus disease 2019 (COVID-19) pandemic were reviewed, and the potential mechanisms were analyzed. Medical uncertainty could lead to increased risks of ineffective treatments and wastes of medical resources. Regarding coping the public health emergencies, rapidly building data consortium is crucial to break the boundaries of data silos, to improve the potentials of so-called “low-value data” and to provide evidence which could reduce medical uncertainty. Hence, the status of data consortium during public health emergencies was summarized, and the potential implications in China was also discussed.