[1]吴静 王思源 陈秋艳 王玉恒 杨沁平 张晟 徐璐璐 吴萃 程旻娜.人工智能随访和人工随访的一致性研究：以高血压共病糖尿病患者为例[J].中国卫生质量管理,2025,32(03):092-96.[doi:10.13912/j.cnki.chqm.2025.32.3.19]
　WU Jing,WANG Siyuan,CHEN Qiuyan.Consistency Study of Artificial Intelligence Follow-up and Manual Follow-up : a Case Study of Hypertensive Patients with Diabetes Mellitus[J].Chinese Health Quality Management,2025,32(03):092-96.[doi:10.13912/j.cnki.chqm.2025.32.3.19]
点击复制

人工智能随访和人工随访的一致性研究：以高血压共病糖尿病患者为例()
分享到：

《中国卫生质量管理》[ISSN:1006-7515/CN:CN 61-1283/R]

卷:
第32卷
期数:
2025年03期
页码:
092-96
栏目:
社区卫生质量
出版日期:
2025-03-15

文章信息/Info

Title:
Consistency Study of Artificial Intelligence Follow-up and Manual Follow-up : a Case Study of Hypertensive Patients with Diabetes Mellitus
作者:
吴静 王思源 陈秋艳 王玉恒 杨沁平 张晟 徐璐璐 吴萃 程旻娜
上海市宝山区疾病预防控制中心
Author(s):
WU Jing;  WANG Siyuan;  CHEN Qiuyan
Shanghai Baoshan District Center for Disease Control and Prevention
关键词:
慢性病; 高血压; 糖尿病; 共病; 人工智能随访; 电话随访; 随访一致性
Keywords:
Chronic Disease; Hypertension; Diabetes; Comorbidity; Artificial Intelligence Follow-up; Telephone Follow-up; Consistency of Follow-up
分类号:
R197.323
DOI:
10.13912/j.cnki.chqm.2025.32.3.19
文献标志码:
A
摘要:
目的评价人工智能（AI）随访和人工随访在高血压共病糖尿病患者中的一致性。方法于2021年7月17日-12月10日，对981名在管高血压共病糖尿病患者分别进行人工随访和AI随访。比较两种随访方式的异常报告率，并采用Kappa方法分析随访结果一致性。结果AI随访接通率为90.09%，信息采集率为70.72%，各年龄组间接通率差异具有统计学意义（P=0.047），双休日的接通率和采集率均显著高于工作日（P<0.001），拨打时段中9:00~12:00的采集率高于其他时段（P=0.010）。两种随访方式在“烦躁”“面色苍白或潮红”和“不规律活动”条目中的异常报告率差异具有统计学意义（P<0.05）。AI随访和人工随访在症状类条目中的一致性水平在较差和高度之间波动，在行为类条目中的一致性水平较高。结论AI随访可用于慢性病健康管理。未来需绘制患者数字画像，定制个性化随访计划；优化AI随访内容，采用AI随访与人工随访相结合方式。
Abstract:
ObjectiveTo evaluate the consistency of artificial intelligence ( AI ) follow-up and manual follow-up in patients with hypertension and diabetes mellitus.MethodsFrom July 17 to December 10, 2021, 981 patients with hypertension and diabetes mellitus were followed-up manually and by AI respectively. The abnormal report rate of the two follow-up methods were compared, and the consistency of the follow-up results was analyzed by Kappa method.ResultsThe follow-up connection rate of AI was 90.09 %, and the collection rate was 70.72%. There difference in the connection rate among different age groups was statistically significant (P=0.047). The connection rate and collection rate on weekends were significantly higher than those on weekdays (P< 0.001 ). The collection rate from 9:00 to 12:00 was higher than that in other periods (P=0.010 ). There were statistically significant differences in the abnormal report rate of the two follow-up methods in the items of "irritability", "pale or flush" and "irregular activity" (P<0.05 ). The consistency level of AI follow-up and manual follow-up in symptom items fluctuated between poor and high, with the level in behavior items being higher.Conclusion AI follow-up can be used for chronic disease health management. In the future, it is necessary to draw digital portraits of patients and customize personalized follow-up plans. AI follow-up content needs to be optimized, with a combined method of AI follow-up and manual follow-up.

参考文献/References:

［1］孙文岩,王思源,吴 菲,等.上海市35岁及以上居民高血压、糖尿病共病流行现状分析［J］.上海预防医学, 2021,33(7):559-565.［2］蔡仕良,鲜林峰,李子帅,等.上海郊区居民高血压和糖尿病共患的相关因素分析［J］.上海预防医学,2022, 34(10):1033-1037.［3］健康中国行动推进委员会办公室.关于印发健康中国行动2023年工作要点的通知:国健推委办发〔2023〕1号［EB/OL］. (2023-03-06)［2024-08-01］. http://www.nhc.gov.cn/guihuaxxs/s7788/202303/1a6c05141f9547768ba1f7792c0313 d0.shtml.［4］韩 帅,朱雪娇,舒洁,等.慢性病患者云随访服务体验量表的研制及其信效度检验［J］.中国全科医学,2024,27(28):3552-3559.［5］程 美,王力华.医疗智能语音技术与应用综述［J］.中国数字医学,2021,16(8):1-7.［6］黄一敏,王 淼,魏明月,等.人工智能语音随访系统在儿童日间手术中心的应用［J］.中国卫生质量管理,2021,28(3):9-11.［7］王思源,周 峰,高俊岭,等.人工智能电话随访在高血压随访管理中的应用［J］.中国慢性病预防与控制,2021,29(11):817-820.［8］MCHUGH ML.Interrater reliability: the kappa statistic［J］.Biochem Med (Zagreb), 2012,22(3):276-282.［9］谷孝云,杨效军,谷张鹏.智能语音外呼系统在公共卫生服务中的应用实践［J］.中国卫生信息管理杂志, 2023, 20(2):285-289.［10］夏远亲,王建刚,王桂莲,等.健康管理智能语音检后追访平台的构建［J］.医疗装备,2023,36(17):26-28,40.［11］MOHAMMED A,ACHEAMPONG PR,OTUPIRI E,et al.Symptom monitoring of childhood illnesses and referrals:a pilot study on the feasibility of a mobile phone-based system as a disease surveillance tool in a rural health district of Ghana［J］.Health Informatics J,2020,26(2): 1465-1476.［12］PARIYO GW,GREENLEAF AR,GIBSON DG,et al.Does mobile phone survey method matter? Reliability of computer-assisted telephone interviews and interactive voice response non-communicable diseases risk factor surveys in low and middle income countries［J］.PLoS One,2019,14(4): e0214450.

相似文献/References:

[1]薛小静 杨小林 谭君.降低老年慢性病患者出院后非医源性不良事件发生率[J].中国卫生质量管理,2017,24(03):074.[doi:10.13912/j.cnki.chqm.2017.24.3.25]
[2]王洪 王妮 刘文艳 刘红蕾 陈卉.2002年－2013年某市常见慢性病患者住院指标分析[J].中国卫生质量管理,2017,24(04):029.[doi:10.13912/j.cnki.chqm.2017.24.4.11]
[3]周伟娇 王亚亚 刘聪颖 万巧琴 龚文涛 张岩 尚少梅.慢性病患者忠诚度现状及影响因素研究[J].中国卫生质量管理,2017,24(05):063.[doi:10.13912/j.cnki.chqm.2017.24.5.21]
[4]王苗 霍俊峰 任泽萍 李金 孔军辉.国外慢性病防控能力评估指标体系研究[J].中国卫生质量管理,2018,25(05):119.[doi:10.13912/j.cnki.chqm.2018.25.5.35]
[5]闫宣辰 姚进文 路杰 王伟 陶生鑫 白焕莉 李建苗 高歆 蒲旭虹 徐瑞璞 殷利霞 胡晓斌.甘肃省分级诊疗对慢性病管理的效果评价：以高血压和糖尿病为例[J].中国卫生质量管理,2019,26(01):113.[doi:10.13912/j.cnki.chqm.2019.26.1.32]
[6]陈思远周吴平简伟研潘杰张昊傅虹桥叶志敏.我国中部农村居民糖尿病和高血压可避免住院现状研究[J].中国卫生质量管理,2021,28(05):095.[doi:10.13912/j.cnki.chqm.2021.28.5.26 ]
　CHEN Siyuan,ZHOU Wuping,JIAN Weiyan.Avoidable Hospitalization for Diabetes and Hypertension in Rural Residents in Central China[J].Chinese Health Quality Management,2021,28(03):095.[doi:10.13912/j.cnki.chqm.2021.28.5.26 ]
[7]何孝崇 皮星 刘彬 顾春燕 汤帆帆 张索飞.社区失独家庭慢性病老人居家护理直接成本调查与分析[J].中国卫生质量管理,2021,28(06):075.[doi:10.13912/j.cnki.chqm.2021.28.6.20 ]
　HE Xiaochong,PI Xing,LIU Bin.Investigation and Analysis on the Direct Cost of Home Care for the Elderly with Chronic Diseases in Community Loss-of-Single-Child Families[J].Chinese Health Quality Management,2021,28(03):075.[doi:10.13912/j.cnki.chqm.2021.28.6.20 ]
[8]唐欣芝吕小林顾则娟刘扣英禹玲王兆霞邢双双.慢性病护理质量评价指标体系研究现状及启示[J].中国卫生质量管理,2021,28(09):051.[doi:10.13912/j.cnki.chqm.2021.28.9.14 ]
　TANG Xinzhi,LV Xiaolin,GU Zejuan.Research Status and Enlightenment of Chronic Disease Care Quality Evaluation Index System[J].Chinese Health Quality Management,2021,28(03):051.[doi:10.13912/j.cnki.chqm.2021.28.9.14 ]
[9]廖艺璇 居阳 王和 杜小曼 王静 张璠 李燕明.通过门诊质控提升慢性呼吸系统疾病规范化诊疗水平[J].中国卫生质量管理,2025,32(01):032.[doi:10.13912/j.cnki.chqm.2025.32.1.08]
　LIAO Yixuan,JU Yang,WANG He.Improving the Level of Standardized Diagnosis and Treatment of Chronic Respiratory Diseases through Outpatient Quality Control[J].Chinese Health Quality Management,2025,32(03):032.[doi:10.13912/j.cnki.chqm.2025.32.1.08]
[10]贾香平 关瑜山 茹楠 吴华章 孟朝琳.基于移动健康的慢性病护理随访经济学研究的系统评价[J].中国卫生质量管理,2025,32(03):064.[doi:10.13912/j.cnki.chqm.2025.32.3.13]
　JIA Xiangping,GUAN Yushan,RU Nan.Systematic Review of Nursing Follow-up Economic Research on Chronic Diseases Based on Mobile Health[J].Chinese Health Quality Management,2025,32(03):064.[doi:10.13912/j.cnki.chqm.2025.32.3.13]
[11]王昱锦刘雅赵清陈莎莎.运用智慧门诊质控系统优化老年慢病患者就诊流程的实践[J].中国卫生质量管理,2024,31(02):073.[doi:10.13912/j.cnki.chqm.2024.31.2.17]
　WANG Yujin,LIU Ya,ZHAO Qing,et al.Optimizing the Treatment Process of Elderly Patients with Chronic Diseases Based on Intelligent Outpatient Quality Control System[J].Chinese Health Quality Management,2024,31(03):073.[doi:10.13912/j.cnki.chqm.2024.31.2.17]

更新日期/Last Update: 2025-03-15