摘要
目的在保障敏感数据不脱离敏感域的前提下,在多中心架构中,利用区块链技术开展缺血性卒中医疗质量评价。方法采用数据网关和安全沙箱建立“敏感域-公开域”隔离带,使用“阅后即焚”思想防止数据泄露,利用区块链和智能合约技术对数据和算法的调用进行跟踪记录。结果区块链秒平均写入通量达到9000条记录,特征检索时间不高于10 ms,能够在多中心协作和敏感信息受控场景中,开展缺血性卒中医疗质量指标评价。系统在三家医疗机构的数据中完成初步验证。结论融合区块链、智能合约、安全沙箱、摘要生成等技术手段,可以在多中心架构上,初步实现缺血性卒中医疗质量指标评价,为进一步应用知识提取、数字化追溯和跨域投放,助力医疗质量持续改进奠定技术支撑。
Objective To evaluate the application of blockchain in medical quality assessment of ischemic stroke in a polycentric collaborative environment with the sensitive data restricted.Methods To establish the isolation belt between the sensitive domain and the public domain,using data gateway and security sandbox technology.The idea of"destroy after using"is used to prevent data leakage.The smart contract is applied to control data and algorithm.All traces are recorded on the blockchain.Results The record performance of the blockchain system was 9000 transactions per second.The retrieval time of medical information features was less than 10 ms.Medical quality control and in-depth statistical analysis capabilities were provided by the system in polycentric collaborative environment and validated in three hospitals.Conclusions An effective medical quality control evaluation system can be established in polycentric collaborative environment with blockchain,smart contract,security sandbox,digest generation and other technologies.With the application of knowledge extraction,tracing and crossdomain delivery,the improvement of healthcare quality will be accelerated.
作者
李子孝
刘翔宇
朱皞罡
王孟
杨昕
王春娟
姜勇
林琳
王韬
赵性泉
王拥军
LI Zi-Xiao;LIU Xiang-Yu;ZHU Hao-Gang;WANG Meng;YANG Xin;WANG Chun-Juan;JIANG Yong;LIN Lin;WANG Tao;ZHAO Xing-Quan;WANG Yong-Jun(Department of Neurology,Beijing Tian Tan Hospital,Capital Medical University,Beijing 100070,China;China National Clinical Research Center for Neurological Diseases,Beijing Tian Tan Hospital,Capital Medical University,Beijing 100070,China;National Center for Healthcare Quality Management in Neurological Diseases,Beijing 100070,China;School of Biological Science and Medical Engineering,Beihang University,Beijing 100191,China;State Key Laboratory of Software Development Environment,Beihang University,Beijing 100191,China;Beijing Advanced Innovation Center for Big Data-Based Precision Medicine(Beihang University&Capital Medical University),Beijing 100191,China;Information Center,Beijing Tian Tan Hospital,Capital Medical University,Beijing 100070,China)
出处
《中国卒中杂志》
2020年第6期578-586,共9页
Chinese Journal of Stroke
基金
“十三五”国家重点研发计划(2017YFC1310901,2016YFC0901002,2017YFC1307905,2015BAI12B00)
中国医学科学院脑血管病人工智能研究创新单元(2019RU018)
北京市科学技术委员会基于人工智能的脑血管病临床诊疗决策研究(Z201100005620010)
北京市百千万人才工程(2018A13)
北京市青年拔尖人才项目(2018000021223ZK03)。
关键词
区块链
多中心协同
敏感信息保护
大数据
Blockchain
Polycentric synergy
Sensitive information protection
Big data