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《中国工程科学》 >> 2020年 第22卷 第2期 doi: 10.15302/J-SSCAE-2020.02.021

COVID-19 疫情背景下的医院人工智能快速布局和发展战略探讨

1. 浙江大学医学院附属第一医院,杭州 310003;

2. 树兰(杭州)医院,杭州 310003

资助项目 :国家科技重大专项“艾滋病和病毒性肝炎等重大传染病防治” (2018ZX10301201);中国工程院咨询项目“人工智能在医药健康领域应用发展战略研究” (2019-ZD-06);浙江大学教育基金会项目 (2020XGZX063) 收稿日期: 2020-03-16 修回日期: 2020-03-31 发布日期: 2020-04-10

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摘要

本文旨在开展新型冠状病毒肺炎(COVID-19)疫情背景下医院人工智能(AI)应用的宏观探讨,以期推动我国医院AI应用的顶层设计和快速布局,为健康中国建设提供新路径。 COVID-19疫情发生以来,中国以举国之力实施疫情防控阻击战,同步以捐赠物资、派遣医疗队、分享医疗诊治经验和高科技手段等方式开展全球抗疫协作。在抗击COVID-19疫情的过程中,一线医疗工作展示了有关医疗AI应用丰富且宝贵的经验,体现了AI在抗疫前线发挥的突出作用,表明了我国医院AI建设需求的迫切性和战略性。研究提出,应进行宏观层面的综合布局,整体推动医院AI的快速建设以形成新的医疗生态,为我国未来医院建设找准发展方向、奠定关键基础。为此建议,在政府层面做好整体规划和顶层设计,进行干预关口前移以改变被动应对局面;科学进行资源统筹,加强硬件体系建设,完善数据和专业人员保障制度,为防范大规模呼吸道急性传染病构建必要条件。

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