主管:国家卫生健康委员会
主办:国家卫生健康委医院管理研究所
中国科技核心期刊(中国科技论文统计源期刊)
中国科学引文数据库(CSCD)核心库期刊
《中文核心期刊要目总览》核心期刊

中国护理管理 ›› 2025, Vol. 25 ›› Issue (9): 1422-1425.doi: 10.3969/j.issn.1672-1756.2025.09.026

• 数智化护理 • 上一篇    下一篇

数字化老年综合健康评估系统的研发及应用

王撬撬 洪玉才 刘宁 徐大庆 王波 张梦瑶 林喆 曾迎春   

  1. 浙大城市学院医学院护理与健康学院,310015 杭州市(王撬撬);浙江大学医学院附属邵逸夫医院急诊科(洪玉才,刘宁);杭州市第二社会福利院(徐大庆);中国老年保健协会健康照护与教育分会(王波);台州市第一人民医院老年科(张梦瑶);宁波大学附属第一医院急诊病区(林喆);新加坡国立大学杨潞龄医学院李陈爱礼护理学中心(曾迎春)
  • 出版日期:2025-09-15 发布日期:2025-09-15
  • 通讯作者: 曾迎春,博士,助理教授,E-mail:chloezengyc@hotmail.co.uk
  • 作者简介:王撬撬,硕士,副教授,护理与健康学院副院长
  • 基金资助:
    国家重点研发计划“主动健康和人口老龄化科技应对”重点专项资助项目(2023YFC3603100)

Development and application of a Digital Comprehensive Geriatric Assessment system

WANG Qiaoqiao, HONG Yucai, LIU Ning, XU Daqing, WANG Bo, ZHANG Mengyao, LIN Zhe, ZENG Yingchun   

  1. School of Nursing and Health Sciences, College of Medicine, Hangzhou City University, Hangzhou, 310015, China
  • Online:2025-09-15 Published:2025-09-15
  • Contact: E-mail:chloezengyc@hotmail.co.uk

摘要: 目的:研发数字化老年综合健康评估(Digital Comprehensive Geriatric Assessment,DCGA)系统,探索其在养老院老年人健康评估中的应用效果,为个性化健康干预提供支持。方法:依据国家《老年人能力评估规范》和国际老年综合评估框架研发DCGA系统。采用便利抽样法,选取2024年7月—10月入住杭州市某养老院的老年人为研究对象。通过DCGA系统对其自理能力、认知功能及衰弱状态等进行评估。对比系统评估与人工评估的效率及一致性。结果:DCGA系统有全流程信息管理(长者列表模块)、动态化更新长者档案(长者档案模块)、多维度健康评估(长者评估模块)、智能报告与决策支持(长者报告模块)4大核心功能。采用该系统完成了196例老年人的健康评估,评估发现95.9%的老年人存在不同程度的功能依赖,75.0%的老年人存在认知功能障碍,57.6%的老年人处于衰弱或衰弱前期状态。采用DCGA系统与人工评估的平均耗时分别为12分钟和45分钟,两种评估方法在能力等级划分结果判定上具有高度一致性(Kappa系数为0.86)。结论:DCGA系统实现了老年人健康状况的全面评估,其标准化的评估流程和数据可视化功能,为养老机构老年人的健康管理提供了有效工具支持,具有良好的推广与应用价值。

关键词: 数字化评估;健康管理;养老院;老年护理;健康评估系统

Abstract: Objective: To develop a Digital Comprehensive Geriatric Assessment (DCGA) system, and explore its application effect in elderly health assessments within nursing homes, providing scientific support for personalized health interventions. Methods: The DCGA system was developed based on the national standard "Geriatric Assessment Guidelines" and international Comprehensive Geriatric Assessment framework. Selecting elderly individuals residing in a nursing home in Hangzhou between July and October 2024 as the study subjects using convenience sampling method. The DCGA system was used to assess self care ability, cognitive function, and frailty state. The efficiency and consistency of system evaluation and manual evaluation were compared. Results: The DCGA system had four core functions: full-process information management (elder list module); dynamic updated elderly profiles (elder profile module); multi-dimensional health assessment (elder assessment module); intelligent reports and decision support (elder report module). The system successfully completed health assessments for 196 elderly individuals. The assessments revealed that 95.9% of the elderly individuals had varying degrees of functional dependency, 75.0% exhibited cognitive impairment, 57.6% were in a state of frailty or pre-frailty. The average time for using the DCGA system and manual evaluation was 12 minutes and 45 minutes, respectively. The two evaluation methods had a high degree of consistency in the determination of ability level classification results (Kappa coefficient of 0.86). Conclusion: The DCGA system enables a comprehensive assessment of elderly health. Its standardized assessment process and data visualization features provide effective support for health management in nursing homes, demonstrating strong potential for wider application.

Key words: digital assessment; health management; nursing home; geriatric care; health assessment system

中图分类号:  R47;R197