摘要
信息技术与医疗健康深度融合成为趋势,数字医疗在优化医疗资源供需匹配、提升健康服务可及性方面具有突出优势,成为医疗卫生服务体系变革的核心驱动力。本文系统梳理了我国数字医疗发展现状与趋势,涵盖智慧医院、主动健康、公共卫生等方向;凝练了数据治理流程规范化方面的数据获取的质量保证与隐私安全、数据利用的基础算力与分析能力等难题,数智服务应用均等化方面的公平可及与按需供给、可靠决策与过程可信、动态响应与迭代演化等难题,医疗卫生资源配置协同化方面的院内/院际协作的协同配置与共享机制、线上/线下联动的资源互通与流程关联等难题。可在建立医疗卫生数据的统一治理体系、整合医联网环境下的跨域医疗卫生数据,采取医疗卫生服务的均等保障策略、发展安全可信的数智医疗基础模型,构建医疗卫生资源的协同配置机制、联通医疗卫生服务全流程的多主体资源等方面采取行动,推动医联网环境下数据合规高效开发利用、智慧医疗卫生数智服务公平可及、优质医疗卫生资源均衡布局。
The deep integration of information technologies and healthcare has become a prevailing trend.Digital healthcare,with its prominent advantages in optimizing the supply-demand matching of medical resources and enhancing the accessibility of health services,has emerged as a core driving force in the transformation of the healthcare service system.This study reviews the current development status and trends of digital healthcare in China,covering areas such as smart hospitals,proactive health,and public health.It identifies key challenges from the aspects of standardized data governance(involving data quality assurance and privacy protection in acquisition,as well as foundational computational power and analytical capabilities for data utilization),equitable access to digital and intelligent health services(involving fair availability and on-demand provision,reliable decision-making with trustworthy processes,and dynamic responsiveness with iterative evolution),and coordinated allocation of healthcare resources(involving effective intra-and inter-hospital collaboration and sharing mechanisms,as well as resource interoperability and process linkage for online/offline integration).To address these challenges,we propose(1)establishing a unified governance system for healthcare data and integrating cross-domain healthcare data under the Internet of Healthcare Systems(IHS)environment;(2)adopting equalization safeguarding strategies for healthcare services and developing secure and trustworthy foundational models for digital and intelligent healthcare;and(3)constructing coordinated mechanisms for healthcare resource allocation to connect multi-stakeholder resources across the entire healthcare service process.These measures aim to promote the compliant and efficient development of data,ensure equitable access to digital and intelligent services of smart healthcare,and achieve a balanced distribution of high-quality healthcare resources.
作者
丁帅
郝聪颖
王浩
刘金戈
汪悦
杨善林
Ding Shuai;Hao Congying;Wang Hao;Liu Jinge;Wang Yue;Yang Shanlin(School of Management,Hefei University of Technology,Hefei 230009,China;Key Laboratory of Process Optimization and Intelligent Decision-making,Ministry of Education,Hefei 230009,China;Philosophy and Social Sciences Laboratory of Data Science and Smart Society Governance,Ministry of Education,Hefei 230009,China)
出处
《中国工程科学》
北大核心
2025年第6期1-8,共8页
Strategic Study of CAE
基金
中国工程院咨询项目“数字医疗发展战略及能力建设研究”(2024-XBZD-18)
国家自然科学基金项目(72293581,72293585)。
关键词
数字医疗
智慧医院
主动健康
公共卫生
生成式人工智能
数智服务
digital healthcare
smart hospital
proactive health
public health
generative artificial intelligence
digital and intelligent services
