构建数据协作机制应对突发公共卫生事件中的医疗不确定性
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R184R

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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)


Establishment of data consortium for responding medical uncertainty during public health emergencies
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    摘要:

    本文首先回顾了新型冠状病毒肺炎在全球蔓延后,由医疗不确定性造成的医疗决策困难,并剖析了这一突发公共卫生事件中医疗不确定性形成的原因和无效治疗带来的风险及医疗资源浪费。在此基础上,围绕如何在面临突发公共卫生事件时快速建立数据协作机制开展了现状回顾和讨论思考,即以数据为驱动,打破“数据孤岛”、提高“低价值数据”的数据质量和利用率,从而为应对相关事件提供有效证据。

    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.

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  • 在线发布日期: 2021-03-30
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