[1]刘莉,朱勋梅,李俊,等.健康画像在慢阻肺个性化健康管理系统中的应用研究[J].中国医学物理学杂志,2020,37(7):918-926.[doi:DOI:10.3969/j.issn.1005-202X.2020.07.023]
 LIU Li,ZHU Xunmei,LI Jun,et al.Application of health portraits in COPD personalized health management system[J].Chinese Journal of Medical Physics,2020,37(7):918-926.[doi:DOI:10.3969/j.issn.1005-202X.2020.07.023]
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健康画像在慢阻肺个性化健康管理系统中的应用研究()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
37
期数:
2020年第7期
页码:
918-926
栏目:
医学人工智能
出版日期:
2020-07-25

文章信息/Info

Title:
Application of health portraits in COPD personalized health management system
文章编号:
1005-202X(2020)07-0918-09
作者:
刘莉1朱勋梅1李俊2陈先来3周宇葵1安莹3李忠民1
1.中南大学生命科学学院, 湖南 长沙 410013; 2.中南大学湘雅口腔医学院, 湖南 长沙410008; 3.中南大学信息安全与大数据研究院, 湖南 长沙 410083
Author(s):
LIU Li1 ZHU Xunmei1 LI Jun2 CHEN Xianlai3 ZHOU Yukui1 AN Ying3 LI Zhongmin1
1. School of Life Sciences, Central South University, Changsha 410013, China 2. Xiangya School of Stomatology, Central South University, Changsha 410008, China 3. Institute of Information Security and Big Data, Central South University, Changsha 410083, China
关键词:
慢性阻塞性肺疾病个性化健康画像健康管理管理系统
Keywords:
Keywords: chronic obstructive pulmonary disease personalized health portrait health management management system
分类号:
R319
DOI:
DOI:10.3969/j.issn.1005-202X.2020.07.023
文献标志码:
A
摘要:
目的:旨在探讨个性化健康画像在慢性病健康管理中的应用,以慢性阻塞性肺疾病(COPD)为例,为COPD患者构建健康画像模型,并基于模型开发设计个性化的健康管理系统。方法:以基于知识的标签提取技术结合电子病历数据挖掘构建患者健康画像模型,并在模型基础上,根据COPD全球倡议设计针对COPD的评估方法、药物推荐算法及个性化健康推荐方法,设计开发了基于.NET平台和SQL技术C/S架构的COPD个性化健康管理系统。结果:从患者及疾病两个维度,构建出包含患者个人信息、诊断信息、并发症、用药数据及住院情况的患者群体画像模型,包含患者基本信息、主要临床表现、检查检验结果、诊断记录、治疗记录、疾病相关因素的个性化健康画像模型,并设计开发由患者主导、医生参与、能够全面展示患者群体画像及个性化健康画像并能进行个性化健康评估及推荐的COPD管理系统。结论:患者健康画像模型能为COPD的诊断、评估、治疗、病情监测、疾病预后、管理提供数据支撑。本研究基于COPD患者健康画像开发的健康管理系统从患者个性化需求的角度出发,为COPD稳定期患者提供了一个契合自身特点的实用的健康管理平台。
Abstract:
Abstract: Objective To explore the application of personalized health portraits in chronic disease health management. Taking chronic obstructive pulmonary disease (COPD) as an example, the health portrait model for COPD patients is developed, and a personalized health management system is designed based on the model. Methods Knowledge-based label extraction technology combined with electronic medical record data mining was used to construct the health portrait model. Based on the model and according to Global Initiative for Chronic Obstructive Lung Disease, the evaluation method, drug recommendation algorithm and personalized health recommendations for COPD were determined. Finally, a COPD personalized health management system was developed based on .NET platform and C/S structure of SQL technology. Results From the two dimensions of the patient and the disease, patient group portrait model and personalized health portrait model were constructed, and a COPD management system was developed. The patient group portrait model included patients personal information, diagnostic information, complications, medication data and hospitalization, while the personalized health portrait model contained patients general information, main clinical manifestations, inspection results, diagnostic records, treatment records, and disease-related factors. The developed COPD management system which was led by patients, with the participation of doctors, comprehensively displayed both the group portraits of all patients and personalized health portraits, and then conducted personalized health assessment and recommendation. Conclusion The patient health portrait model can provide data support for the diagnosis, evaluation, treatment, disease monitoring, disease prognosis and management of COPD. The COPD health management system developed based on the health portraits of COPD patients can satisfy the personalized needs of patients and is proved to be a practical health management platform for patients with COPD in stable phase.

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备注/Memo

备注/Memo:
【收稿日期】2020-01-15 【基金项目】国家重点研发计划(2016YFC0901705) 【作者简介】刘莉,副教授,E-mail: 331240915@qq.com;朱勋梅,在读硕士研究生,E-mail: 527886735@qq.com 【通信作者】李俊,讲师,主要研究方向:医院信息系统、计算机网络,E-mail: lijun2016@csu.edu.cn
更新日期/Last Update: 2020-07-28