基于ICF的康复大数据理论架构研究  

Theoretical framework of rehabilitation big data based on ICF

作　　者：田益凡 陈迪 程亚宁 叶海燕 刘叶 张赢心 吕雪丽 TIAN Yifan;CHEN Di;CHENG Yaning;YE Haiyan;LIU Ye;ZHANG Yingxin;LÜXueli(Rehabilitation Information Research Department,China Rehabilitation Science Institute,Beijing 100068,China;WHO-FIC Collaborating Center in China,Beijing 100068,China)

机构地区：[1]中国康复科学所康复信息研究部,北京市100068 [2]世界卫生组织国际分类家族中国合作中心,北京市100068

出　　处：《中国康复理论与实践》2024年第9期1043-1052,共10页Chinese Journal of Rehabilitation Theory and Practice

基　　金：中国康复科学所中央级公益性科研院所基本科研业务费项目(No.2021CZ-14)。

摘　　要：目的 基于《国际功能、残疾和健康分类》(ICF),构建康复大数据的理论架构。方法 基于国际康复政策文件,包括世界卫生组织《健康服务体系中的康复》《健康服务体系中的康复:行动指南》《康复指标清单:康复监测和评估架构配套的工具》《康复现状系统评估配套工具(STARS):康复信息收集模板(TRIC)》和《国家卫生信息系统框架和标准》等分析康复大数据的构成与功能;探讨基于世界卫生组织国际健康分类家族(WHO-FICs)的康复大数据领域的内容架构;基于卫生健康计量网络框架与大数据层级分类探讨康复大数据生成模式。结果 在健康服务体系的6大要素中,信息系统要素涵盖了康复大数据这一重要分支。康复大数据的核心构成包括健康状况、健康决定因素和健康服务3大范畴,其内容架构基于WHO-FICs框架,涵盖了健康与功能,疾病、功能与健康,疾病、功能与干预3个维度。依据大数据架构建设要求,构建了康复服务中康复大数据全面的数据生成和应用模式。其中康复大数据的数据来源包括人口统计、民事登记、人群调查、资源、服务和个人记录,其结果链覆盖投入、过程、产出、结果和影响5大流程。康复大数据加工与利用流程包含数据的采集、存储、管理、分析和应用等环节。结论 基于ICF理论构建了康复大数据的理论架构。Objective To construct the theoretical framework of rehabilitation big data based on International Classification of Functioning,Disability and Health(ICF).Methods Drawing upon international rehabilitation policy documents,such as the World Health Organization's Rehabilitation in health systems;Rehabilitation in health systems:guide for action;Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME);Template for Rehabilitation Information Collection(TRIC):a tool accompanying the Systematic Assessment of Rehabilitation Situation(STARS);and Framework and Standards for Country Health Information Systems;this study examined the composition and function of rehabilitation big data.The content structure of the rehabilitation big data domain was analyzed using the World Health Organization Family of International Classifications(WHO-FICs).Furthermore,the generation patterns of rehabilitation big data was constructed drawing on the Health Metrics Network and big data hierarchical classification.Results Within the six primary elements of the health service system,the information system element was particularly significant,encompassing a substantial branch known as rehabilitation big data.There were three components of rehabilitation big data:health condition,health-related factors and health services.The content framework for this data was derived from the WHO-FICs framework,which covered three dimensions:health and function,disease and function,and disease,function and intervention.A comprehensive model for generating and applying rehabilitation big data in rehabilitation services was developed in line with the requirements for constructing big data architectures.The sources of this data included population censuses,social registration information,population surveys,resources,services and personal records.The result chain of rehabilitation big data encompassed five major processes:input,process,output,outcome and impact.The processing and utilization of this data

关 键 词：国际功能、残疾和健康分类 康复大数据 卫生健康计量网络 康复服务 

分 类 号：R49[医药卫生—康复医学]