摘要
目的构建符合我国现阶段特征的政府公共健康医疗数据科研应用适宜技术体系,系统性解决健康医疗数据科研应用技术难题,全面提升医学科研创新效能。方法组织专家,协同多家权威机构,历时10个月,采用系统性文献查阅方法,深入分析国际先进经验,结合我国实际情况开展研究。通过建立专家学术交流群组、召开线上专题研讨会议、运用问卷星评分系统等形式,共组织3次专家研讨活动。每项推荐建议均采用李克特5级量表进行专家评价,根据共识度水平设定推荐强度分级标准,最终形成专家共识。结果就政府公共健康医疗数据科研应用的定义与管理框架、国际经验借鉴、适宜管理技术框架构建、申请者资质管理方案、全流程管理机制、阶段性评估与动态调整共6个方面达成专家共识。本共识最终形成15项核心推荐意见,提出了双阶段递进式技术实施路径(第一阶段构建安全研究平台→第二阶段探索有限数据审核出域机制)、双委员会管理架构(科学委员会+数据管理委员会)、四层安全防护体系(物理安全、网络安全、应用安全、数据安全)等创新性适宜技术模式。结论本专家共识经过数十位专家共同努力,做了大量的资料收集、数据分析和专家测评等工作而最终形成,各项推荐意见共识度较高,符合我国政府公共健康医疗数据科研应用的实际需求,但仍需要在实践中进一步应用与验证。基于本共识提出的适宜技术框架,有望系统性解决当前健康医疗数据科研应用领域存在的关键技术问题,为推进我国医疗卫生事业高质量发展提供技术支撑。本共识的发表将为我国公共健康数据科研应用提供有益的参考。
Objective To construct an appropriate technological system for the science research applications of government public health and medical data that aligns with China’s current developmental stage characteristics,and systematically resolve technical challenges in health and medical data research applications,and to comprehensively enhance medical research innovation efficiency.Methods Experts were organized in collaboration with multiple authoritative institutions over a 10-month period,employing systematic literature review methodology to conduct in-depth analysis of international advanced experiences while considering China’s actual circumstances.Through establishing expert academic exchange groups,convening online thematic seminars,and utilizing questionnaire-based scoring systems,three expert consultation activities were organized.Each recommendation was evaluated using a 5-point Likert scale,with recommendation strength grading standards established based on consensus levels to ultimately achieve an expert consensus.Results Expert consensus was reached across six aspects:Definition and management framework for government public health and medical data research applications,international experience integration,appropriate management technology framework construction,applicant qualification management schemes,comprehensive process management mechanisms,and phased evaluation with dynamic adjustment.This expert consensus ultimately generated 15 core recommendations and proposed innovative appropriate technological models,including a two-stage progressive technical implementation pathway(Stage 1:Secure research platform construction→Stage 2:Limited data review and export mechanism exploration),a dual-committee management architecture(Scientific Committee+Data Management Committee),and a four-tier security protection system(physical security,network security,application security,data security).Conclusions The expert consensus is jointly developed through the collective efforts of dozens of experts involving extensive data collection,analysis,and expert evaluation.The consensus demonstrates high consensus levels across all recommendations and aligns with the practical needs of government public health and medical data research applications in China,though further application and validation in practice are required.The appropriate technology framework proposed based on this consensus is expected to systematically address key technical issues currently existing in the field of health and medical data research applications,providing technical support for advancing the high-quality development of China’s healthcare sector.The publication of this consensus will provide valuable references for public health data research applications in China.
作者
政府公共健康医疗数据科研应用适宜技术专家共识专家工作组
何威
杨白
Expert Consensus Working Group on Appropriate Technology for Scientific Research Applications of Government Public Health and Medical Data
出处
《中国校医》
2025年第9期647-656,670,共11页
Chinese Journal of School Doctor
基金
国家重点研发计划(2022YFC2705300)
浙江省“尖兵”“领雁”研发攻关计划(2024C03180)。
关键词
政府公共健康医疗数据
科研应用
适宜技术
数据管理
专家共识
Government public health and medical data
Research applications
Appropriate technologies
Data management
Expert consensus
