中国康复理论与实践2024，Vol.30Issue(9)：1043-1052,10.DOI:10.3969/j.issn.1006-9771.2024.09.007
基于ICF的康复大数据理论架构研究
Theoretical framework of rehabilitation big data based on ICF
摘要
Abstract
Objective To construct the theoretical framework of rehabilitation big data based on International Classification of Func-tioning,Disability and Health(ICF). Methods Drawing upon international rehabilitation policy documents,such as the World Health Organization's Rehabili-tation 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 Rehabilita-tion 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 com-position and function of rehabilitation big data.The content structure of the rehabilitation big data domain was an-alyzed 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,dis-ease and function,and disease,function and intervention.A comprehensive model for generating and applying re-habilitation big data in rehabilitation services was developed in line with the requirements for constructing big da-ta 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 involved collection,storage,management,analysis and application. Conclusion A theoretical framework for rehabilitation big data has been constructed based on the ICF theory.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Key words
International Classification of Functioning,Disability and Health/rehabilitation big data/health metrics network/rehabilitation services分类
医药卫生引用本文复制引用
田益凡,陈迪,程亚宁,叶海燕,刘叶,张赢心,吕雪丽..基于ICF的康复大数据理论架构研究[J].中国康复理论与实践,2024,30(9):1043-1052,10.基金项目
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) The Fundamental Research Funds for Central Public Welfare Research Institutes,conducted by China Rehabilitation Science Institute(No.2021CZ-14) （No.2021CZ-14）
