Prospect of Artificial Intelligence Based on Electronic Medical Record.

Q2 Medicine
Journal of Lipid and Atherosclerosis Pub Date : 2021-09-01 Epub Date: 2021-07-13 DOI:10.12997/jla.2021.10.3.282
Suehyun Lee, Hun-Sung Kim
{"title":"Prospect of Artificial Intelligence Based on Electronic Medical Record.","authors":"Suehyun Lee,&nbsp;Hun-Sung Kim","doi":"10.12997/jla.2021.10.3.282","DOIUrl":null,"url":null,"abstract":"<p><p>With the advent of the big data era, the interest of the international community is focusing on increasing the utilization of medical big data. Many hospitals are attempting to increase the efficiency of their operations and patient management by adopting artificial intelligence (AI) technology that enables the use of electronic medical record (EMR) data. EMR includes information about a patient's health history, such as diagnoses, medicines, tests, allergies, immunizations, treatment plans, personalized medical care, and improvement of medical quality and safety. EMR data can also be used for AI-based new drug development. In particular, it is effective to develop AI that can predict the occurrence of specific diseases or provide individualized customized treatments by classifying the individualized characteristics of patients. In order to improve performance of artificial intelligence research using EMR data, standardization and refinement of data are essential. In addition, since EMR data deal with sensitive personal information of patients, it is also vital to protect the patient's privacy. There are already various supports for the use of EMR data in the Korean government, and researchers are encouraged to be proactive.</p>","PeriodicalId":16284,"journal":{"name":"Journal of Lipid and Atherosclerosis","volume":"10 3","pages":"282-290"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/c4/21/jla-10-282.PMC8473961.pdf","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Lipid and Atherosclerosis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12997/jla.2021.10.3.282","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/7/13 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 15

Abstract

With the advent of the big data era, the interest of the international community is focusing on increasing the utilization of medical big data. Many hospitals are attempting to increase the efficiency of their operations and patient management by adopting artificial intelligence (AI) technology that enables the use of electronic medical record (EMR) data. EMR includes information about a patient's health history, such as diagnoses, medicines, tests, allergies, immunizations, treatment plans, personalized medical care, and improvement of medical quality and safety. EMR data can also be used for AI-based new drug development. In particular, it is effective to develop AI that can predict the occurrence of specific diseases or provide individualized customized treatments by classifying the individualized characteristics of patients. In order to improve performance of artificial intelligence research using EMR data, standardization and refinement of data are essential. In addition, since EMR data deal with sensitive personal information of patients, it is also vital to protect the patient's privacy. There are already various supports for the use of EMR data in the Korean government, and researchers are encouraged to be proactive.

Abstract Image

Abstract Image

Abstract Image

基于电子病案的人工智能展望。
随着大数据时代的到来,如何提高医疗大数据的利用成为国际社会关注的焦点。许多医院正试图通过采用能够使用电子病历(EMR)数据的人工智能(AI)技术来提高运营和患者管理的效率。EMR包括有关患者健康史的信息,例如诊断、药物、测试、过敏、免疫接种、治疗计划、个性化医疗护理以及医疗质量和安全的改进。电子病历数据也可用于基于人工智能的新药开发。特别是,通过对患者的个体化特征进行分类,开发可以预测特定疾病发生或提供个性化定制治疗的AI是有效的。为了提高使用EMR数据的人工智能研究的性能,数据的标准化和细化是必不可少的。此外,由于EMR数据涉及患者的敏感个人信息,因此保护患者的隐私也至关重要。韩国政府已经对电子病历数据的使用提供了各种支持,并鼓励研究人员积极主动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Lipid and Atherosclerosis
Journal of Lipid and Atherosclerosis Medicine-Internal Medicine
CiteScore
6.90
自引率
0.00%
发文量
26
审稿时长
12 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信