智慧医院建设背景下的电子病历分析利用框架

徐良辰; 郭崇慧

doi:10.11959/issn.2096-0271.2021044

您当前的位置：

首页 >

文章列表页 >

智慧医院建设背景下的电子病历分析利用框架

应用 | 更新时间：2024-06-03

- 智慧医院建设背景下的电子病历分析利用框架
- Analysis and utilization framework of electronic medical records under the background of smart hospital construction
- 大数据 2021年7卷第4期页码：2021044
- 作者机构：
- 作者简介：
  
  [ "徐良辰（1992-），男，大连理工大学系统工程研究所博士生，主要研究方向为数据挖掘与知识发现" ]
  [ "郭崇慧（1973-），男，博士，大连理工大学系统工程研究所教授、博士生导师，主要研究方向为大数据分析与挖掘、健康医疗大数据、商务智能与商务分析" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(71771034)
- DOI：10.11959/issn.2096-0271.2021044
  中图分类号： R197.323
- 网络首发：2021-07，
  
  纸质出版：2021-07-15
- 稿件说明：
移动端阅览
徐良辰, 郭崇慧. 智慧医院建设背景下的电子病历分析利用框架[J]. 大数据, 2021,7(4):2021044.

Liangchen XU, Chonghui GUO. Analysis and utilization framework of electronic medical records under the background of smart hospital construction[J]. Big data research, 2021, 7(4): 2021044.
徐良辰, 郭崇慧. 智慧医院建设背景下的电子病历分析利用框架[J]. 大数据, 2021,7(4):2021044. DOI： 10.11959/issn.2096-0271.2021044.

Liangchen XU, Chonghui GUO. Analysis and utilization framework of electronic medical records under the background of smart hospital construction[J]. Big data research, 2021, 7(4): 2021044. DOI： 10.11959/issn.2096-0271.2021044.

摘要

作为核心的医疗大数据，电子病历成为智慧医院建设的基础，对电子病历的分析利用进行研究对于智慧医院建设具有重要意义。提出了电子病历的生成、分析及利用一体化研究框架，阐述了电子病历的内涵，分析了电子病历系统与其他医疗信息系统的关系，梳理了电子病历的分析挖掘流程，并从计算机辅助诊断、治疗推荐以及管理支持3个角度总结了电子病历分析的应用；讨论了电子病历分析对智慧医院相关分级的影响，指出电子病历分析挖掘是智慧医院较高等级的要求，将助力高等级智慧医院建设；最后，从数据层面、模型层面以及应用层面对当前电子病历分析利用存在的问题进行分析，并给出相应意见和建议，为电子病历分析利用以及智慧医院的建设提供参考。

Abstract

As the core medical big data

electronic medical record data has become the core foundation of smart hospital construction

and the research on the analysis and utilization of electronic medical records is of great significance.In order to promote the analysis and utilization of electronic medical records

an integrated research framework for the generation

analysis and utilization of electronic medical records was proposed

the connotation of electronic medical records was expounded

the relationship between electronic medical record systems and other medical information systems was analyzed

and the analysis and mining process of electronic medical records were sorted out.The application of electronic medical record analysis was also summarized from three perspectives: computer-aided diagnosis

treatment recommendation and management support.The impact of electronic medical record analysis on the relevant classification of smart hospital was also discussed.Finally

the existing problems in the analysis and utilization of electronic medical records were analyzed from the data level

model level and application level

and corresponding opinions and suggestions were given to provide references for the analysis and utilization of electronic medical records and the construction of smart hospital.

关键词

Keywords

references

胥婷 , 崔文彬 , 于广军 . 我国智慧医院建设现状及发展路径 [J ] . 中国医院 , 2020 , 24 ( 3 ): 1 - 3 , 10 .

XU T , CUI W B , YU G J . Construction status and development path of smart hospitals in China [J ] . Chinese Hospitals , 2020 , 24 ( 3 ): 1 - 3 , 10 .

戴明锋 , 孟群 . 医疗健康大数据挖掘和分析面临的机遇与挑战 [J ] . 中国卫生信息管理杂志 , 2017 , 14 ( 2 ): 126 - 130 .

DAI M F , MENG Q . Opportunities and challenges in data mining and data analysis of health care big data [J ] . Chinese Journal of Health Informatics and Management , 2017 , 14 ( 2 ): 126 - 130 .

阮彤 , 邱加辉 , 张知行 , 等 . 医疗数据治理——构建高质量医疗大数据智能分析数据基础 [J ] . 大数据 , 2019 , 5 ( 1 ): 12 - 24 .

RUAN T , QIU J H , ZHANG Z X , et al . Medical data governance:building the data foundation for intelligent analysis of high quality medical big data [J ] . Big Data Research , 2019 , 5 ( 1 ): 12 - 24 .

董诚 , 林立 , 金海 , 等 . 医疗健康大数据:应用实例与系统分析 [J ] . 大数据 , 2015 , 1 ( 2 ): 78 - 89 .

DONG C , LIN L , JIN H , et al . Big data in healthcare:applications and system analytics [J ] . Big Data Research , 2015 , 1 ( 2 ): 78 - 89 .

马锡坤 , 杨国斌 , 于京杰 . 国内电子病历发展与应用现状分析 [J ] . 计算机应用与软件 , 2015 , 32 ( 1 ): 10 - 12 , 38 .

MA X K , YANG G B , YU J J . Analysing the development and application status of electronic medical records in China [J ] . Computer Applications and Software , 2015 , 32 ( 1 ): 10 - 12 , 38 .

王秋霞 , 刘利 , 杜晓莉 . 美国医疗信息化建设特点及其经验启示 [J ] . 卫生经济研究 , 2019 , 36 ( 12 ): 50 - 52 .

WANG Q X , LIU L , DU X L . The characteristics of American medical information construction and its enlightenment [J ] . Health Economics Research , 2019 , 36 ( 12 ): 50 - 52 .

MILLS E J , THORLUND K , IOANNIDIS J P A . Demystifying trial networks and network meta-analysis [J ] . British Medical Journal , 2013 ,346:f2914.

黄梦醒 , 李梦龙 , 韩惠蕊 . 基于电子病历的实体识别和知识图谱构建的研究 [J ] . 计算机应用研究 , 2019 , 36 ( 12 ): 3735 - 3739 .

HUANG M X , LI M L , HAN H R . Research on entity recognition and knowledge graph construction based on electronic medical records [J ] . Application Research of Computers , 2019 , 36 ( 12 ): 3735 - 3739 .

阮彤 , 高炬 , 冯东雷 , 等 . 基于电子病历的临床医疗大数据挖掘流程与方法 [J ] . 大数据 , 2017 , 3 ( 5 ): 83 - 98 .

RUAN T , GAO J , FENG D L , et al . Process and methods of clinical big data mining based on electronic medical records [J ] . Big Data Research , 2017 , 3 ( 5 ): 83 - 98 .

熊英 . 中文出院小结自动生成方法研究 [D ] . 哈尔滨:哈尔滨工业大学 , 2019 .

XIONG Y . Research on automatic generation of Chinese discharge summary [D ] . Harbin:Harbin Institute of Technology , 2019 .

金叶 . 基于人工智能构建诊断肺结节的良恶性多种病理类型的分类模型研究 [D ] . 济南:山东大学 , 2020 .

JIN Y . Research on the classification model of diagnosing multiple pathological types of benign and malignant pulmonary nodules based on artificial intelligence [D ] . Jinan:Shandong University , 2020 .

李季 , 丁凤一 , 李翔宇 . 基于电子病历数据挖掘的疾病危重度动态预测研究 [J ] . 信息资源管理学报 , 2017 , 7 ( 4 ): 38 - 43 .

LI J , DING F Y , LI X Y . Study of dynamic forecasting model based on EMR data mining for disease severity [J ] . Journal of Information Resources Management , 2017 , 7 ( 4 ): 38 - 43 .

EL-RASHIDY N , EL-SAPPAGH S ,, ABUHMED T , et al . Intensive care unit mortality prediction:an improved patientspecific stacking ensemble model [J ] . IEEE Access , 2020 , 8 : 133541 - 133564 .

韩冬 , 李其花 , 蔡巍 , 等 . 人工智能在医学影像中的研究与应用 [J ] . 大数据 , 2019 , 5 ( 1 ): 39 - 67 .

HAN D , LI Q H , CAI W , et al . Research and application of artificial intelligence in medical imaging [J ] . Big Data Research , 2019 , 5 ( 1 ): 39 - 67 .

蒋杰伟 . 基于裂隙灯影像的小儿白内障自动诊断和预测方法研究 [D ] . 西安:西安电子科技大学 , 2018 .

JIANG J W . Research on automatic diagnosis for predictic cataract based on slit-lamp image [D ] . Xi’an:Xidian University , 2018 .

文玉敏 , 董兴鲁 , 李平 . 糖尿病肾病证候及用药规律的数据挖掘研究 [J ] . 中华中医药杂志 , 2015 , 30 ( 10 ): 3665 - 3670 .

WEN Y M , DONG X L , LI P . Data mining research on syndromes distribution and prescription regularity of diabetic nephropathy based on periodicals [J ] . China Journal of Traditional Chinese Medicine and Pharmacy , 2015 , 30 ( 10 ): 3665 - 3670 .

任建业 , 许鸣 , 陆嘉惠 . 基于数据挖掘的中医临床用药规律和证型研究进展 [J ] . 中华中医药杂志 , 2017 , 32 ( 10 ): 4579 - 4582 .

REN J Y , XU M , LU J H . Research progress on clinical medication regularity and syndrome type based on data mining [J ] . China Journal of Traditional Chinese Medicine and Pharmacy , 2017 , 32 ( 10 ): 4579 - 4582 .

郭崇慧 , 陈静锋 , 魏伟 . 元决策下的临床路径管理模式研究 [J ] . 医学与哲学 , 2017 , 38 ( 14 ): 6 - 9 .

GUO C H , CHEN J F , WEI W . Research on clinical pathway management mode with meta decision-making [J ] . Medicine ＆Philosophy , 2017 , 38 ( 14 ): 6 - 9 .

赵璇 . 基于数据挖掘技术的冠心病费用研究 [D ] . 北京:北京中医药大学 , 2018 .

ZHAO X . Research on the cost of coronary heart disease based on data mining technology [D ] . Beijing:Beijing University of Chinese Medicine , 2018 .

汤羽 , 袁炜 , 芮磊 , 等 . 基于数据挖掘算法的慢病住院费用预测模型分析 [J ] . 现代医药卫生 , 2019 , 35 ( 4 ): 481 - 485 .

TANG Y , YUAN W , RUI L , et al . Analysis of hospitalization cost prediction model of chronic disease based on data mining algorithm [J ] . Journal of Modern Medicine ＆Health , 2019 , 35 ( 4 ): 481 - 485 .

陈默 , 蔡苗 , 黄阿红 , 等 . 基于K-means聚类与支持向量机的大病患者住院费用影响因素与控制策略研究 [J ] . 中国医院管理 , 2019 , 39 ( 5 ): 45 - 47 , 53 .

CHEN M , CAI M , HUANG A H , et al . Analysis of influencing factors of hospitalization expenditure of patients with serious disease based on K-means clustering and support vector machine [J ] . Chinese Hospital Management , 2019 , 39 ( 5 ): 45 - 47 , 53 .

郭珉江 . 数据挖掘技术在疾病诊断相关分组中的应用 [D ] . 长沙:中南大学 , 2009 .

GUO M J . Research on the application of data mining technology in disease related groups [D ] . Changsha:Central South University , 2009 .

陈珂锐 , 孟小峰 . 机器学习的可解释性 [J ] . 计算机研究与发展 , 2020 , 57 ( 9 ): 1971 - 1986 .

CHEN K R , MENG X F . Interpretation and understanding in machine learning [J ] . Journal of Computer Research and Development , 2020 , 57 ( 9 ): 1971 - 1986 .

包小源 , 张凯 , 金梦 , 等 . 基于数据空间的电子病历数据融合与应用平台 [J ] . 大数据 , 2019 , 5 ( 6 ): 47 - 61 .

BAO X Y , ZHANG K , JIN M , et al . A data-space based platform for the integration and application of electronic health records [J ] . Big Data Research , 2019 , 5 ( 6 ): 47 - 61 .

浏览量

795

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于材料数值计算大数据的材料辐照机理发现

基于多源城市交通出行数据的定制公交需求辨识方法研究

大数据分析与应用技术创新平台

基于电子病历的临床医疗大数据挖掘流程与方法

信用评分基本理论及其应用