孙茜,冯霞,隆云滔,徐宗本.数字技术赋能我国医疗治理现代化建设研究[J].中国科学院院刊,2022,37(12):1705-1715.

数字技术赋能我国医疗治理现代化建设研究

Deepening Digital Technologies to Enable Modernization of China's Governance of Health
作者
孙茜1
中国科学院大学 公共政策与管理学院 北京 100049
SUN Tara Qian1
School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China
冯霞2
中国科学院 学部工作局 北京 100190
FENG Xia2
Academic Divisions, Chinese Academy of Sciences, Beijing 100190, China
隆云滔3*
中国科学院科技战略咨询研究院 北京 100190
LONG Yuntao3*
Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
徐宗本4*
西安交通大学 数学与统计学院 西安 710049
XU Zongben4*
School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, China
中文关键词
         数字技术;医疗;治理现代化;数字中国;健康中国
英文关键词
        digital technology;health;modernization of governance;digital China;healthy China
中文摘要
        数字技术的快速发展为我国实现医疗治理现代化提供了可行的操作路径。文章在分析数字技术赋能医疗机构和医生、政府、社会群体等多元主体、提升医疗服务供给能力、普惠性和公平性、友好性和便利性等方面作用基础上,探讨了数字技术赋能医疗治理现代化建设的4个重点问题,即数字医疗基础设施建设、数字技术采纳的影响因素、数据资产属性确权、数据安全与科技伦理。基于国际数字医疗应用场景,提出推动数字技术赋能我国医疗治理现代化建设的对策建议:以道路自信为核心、以医疗情景驱动为引擎、以技术融合应用为抓手,聚焦数字技术价值创造引导多元主体协同治理,融入全球创新、承担大国责任、倡导科技向善。
英文摘要
        One significant goal of science and technology innovation is to set our sights on the health and safety of the people. The rapid development of digital technologies provides multiple potentials and path to achieve the modernization of China's health governance. the role of digital technologies on enabling multiple stakeholders (i.e., hospitals, doctors, government, and social groups) to improve the supply capacity, the inclusiveness, fairness, friendliness, and convenience of health service. Second, we explore the four key issues of using digital technologies to enable the governance of health construction of digital health infrastructures, the factors affecting the adoption of digital technologies, the identification of data assets, data security and ethics of science and technology. Given the international experience of using digital technologies in health, we propose policy recommendations on deepening digital technologies to enable the modernization of China’s health governance: taking road confidence as the core, pulling health demand with dynamic health scenarios, pushing health supply by integrating digital technologies, focusing on value creation and guiding the coordinated governance of multiple stakeholders, and participating in global innovation and taking China's responsibility to advocate Tech for Good.
DOI10.16418/j.issn.1000-3045.20221117003
作者简介
孙茜 中国科学院大学公共政策与管理学院副教授。哥本哈根商学院数字化系博士后,中国科学院大学中丹学院和哥本哈根商学院数字化系双博士。主要研究领域:数字医疗、医疗人工智能、数字治理、数字创新、社会创新、创新发展政策。
E-mail:sunqian@ucas.ac.cn
SUN Tara Qian Associate Professor at the School of Public Policy and Management, University of Chinese Academy of Sciences (UCAS). She worked as a postdoctoral researcher at the Department of Digitalization (DIGI), Copenhagen Business School (CBS), and got her double-PhD degree from the Sino-Danish College, UCAS and the DIGI, CBS. Her main research interests include digital health, artificial intelligence in healthcare, digital governance, digital innovation, social innovation, and innovation development policy.
E-mail:sunqian@ucas.ac.cn
隆云滔 中国科学院科技战略咨询研究院副研究员。中国计算机学会青年计算机科技论坛(CCF YOCSEF)总部学术委员会委员、中国计算机学会(CCF)开源发展委员会首届执行委员。研究领域:数字经济、数字治理、开源创新发展以及系统科学理论与方法等,服务国家经济发展及产业数字化转型等战略决策需要。
E-mail:yuntaol@casisd.cn
LONG Yuntao Ph.D., Associate Professor of Institutes of Science and Development, Chinese Academy of Sciences (CASISD), Academic Committee Member of China Computer Federation (CCF) Young Computer Scientists & Engineers Forum (YOCSEF), and Executive Member of CCF Open Source Developing Committee. Dr. Long's research interests focus on digital economics, digital governance, open source innovation development and system science theory and method, which serve the strategic decision-making needs of the national economic development and industrial digital transformation.
E-mail:yuntaol@casisd.cn
徐宗本 中国科学院院士,西安交通大学数学与统计学院教授。主要从事智能信息处理、机器学习、数据建模基础理论的研究。
E-mail:zbxu@mail.xjtu.edu.cn
XU Zongben Academician of the Chinese Academy of Sciences and Professor at School of Mathematics and Statistics, Xi'an Jiaotong University. His research interests include intelligent information processing, machine learning and theories in numerical modeling.
E-mail:zbxu@mail.xjtu.edu.cn
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