Abstract: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.