再论国家标准《功能、残疾、健康分类的康复组合评定》(ICF-RS)的临床践行  

Re-examining the clinical practice of the national standard ICF-RS

作　　者：燕铁斌[1,4] 章马兰 于佳妮 Yan Tiebin;Zhang Malan;Yu Jiani(Memorial Hospital,Sun Yat-sen University,Guangdong Engineering Research Center for Rehabilitation&Aged Care,Guangzhou 510120,China)

机构地区：[1]中山大学孙逸仙纪念医院,广州510120 [2]广州体育学院运动与健康学院,广州510120 [3]广州中医药大学第二附属医院,广州510120 [4]广东省康复与养老工程技术研究中心,广州510120

出　　处：《中国康复》2025年第3期131-134,共4页Chinese Journal of Rehabilitation

基　　金：国家自然科学基金面上项目(No 82272614,72104060)。

摘　　要：本文系统阐述了国家标准《功能、残疾、健康分类的康复组合评定》(ICF-RS)的临床实践路径及研究成果。通过多中心研究验证,项目组开发了单人版和多人版ICF-RS评估工具,其中多人版由医生、护士、治疗师协作完成,显著缩短单次评估时间。同时,基于Android系统研发的移动数据平台实现了ICF-RS评估的数字化管理,并通过神经网络算法构建功能维度预测模型,支持临床快速生成三类定制化报告(患者版、临床医生版、康复专业版)。规范化培训可提升评估一致性。ICF-RS已成功应用于重症康复、神经外科等多学科,部分省市正探索将其纳入医保支付体系作为医疗质控指标。作为ICD-11升级的重要配套工具,ICF-RS的全面推广将加速我国临床-康复一体化进程。This study comprehensively explores the clinical implementation of the Chinese National Standard International Classification of Functioning,Disability and Health Rehabilitation Set(ICF-RS).The research team developed both single-rater and multi-rater assessment tools,with the latter involving collaboration among physicians,nurses,and therapists.This approach reduced assessment time effectively.A mobile Android-based platform was also established for digital data management,incorporating an AI-driven neural network model to generate three tailored reports(patient,clinician,and specialist versions).Standardized training improved assessment consistency,and cross-disciplinary applications in critical care,neurosurgery,and orthopedics demonstrated its versatility.Notably,some regions are piloting ICF-RS integration into healthcare payment systems as a quality control metric.As a key complement to ICD-11,ICF-RS is poised to enhance clinical-rehabilitation integration in China.

关 键 词：ICF ICF-RS 功能残疾健康分类 康复组合评定 临床践行 

分 类 号：R49[医药卫生—康复医学]