Privacy Protection of Sexually Transmitted Infections Information from Chinese Electronic Medical Records

Mengchun Gong, Yue Yu, Zihao OuYang, Wenzhao Shi, Chao Liu, Qilin Wang, Jiale Nan, Endi Cai, Fen Ding, Sheng Nie
{"title":"Privacy Protection of Sexually Transmitted Infections Information from Chinese Electronic Medical Records","authors":"Mengchun Gong, Yue Yu, Zihao OuYang, Wenzhao Shi, Chao Liu, Qilin Wang, Jiale Nan, Endi Cai, Fen Ding, Sheng Nie","doi":"10.1101/2024.08.13.24311908","DOIUrl":null,"url":null,"abstract":"Objectives: To formulate an efficacious approach for safeguarding the privacy information of electronic medical records.\nDesign: Chinese patient electronic medical record text information.\nSetting: The Chinese Renal Disease Data System database.\nParticipants: 3,233,174 patients between 1 Jan. 2010 and 31 Dec. 2023.\nMain outcome measures: Annotated patient privacy fields and the effectiveness of privacy protection\nResults: We have developed an automated tool named EPSTII, designed to protect the privacy of patients' sexually transmitted infection information within medical records. Through the refinement of keywords and the integration of expert knowledge, EPSTII currently achieves a 100% accuracy and recall rate. Our privacy protection measures have reached a 99.5% success rate, ensuring the utmost protection of STI patients' privacy. As the first large-scale investigation into privacy leakage and STI identification in Chinese electronic medical records, our research paves the way for the future development of patient privacy protection laws in China and the advancement of more sophisticated tools.\nConclusions:The EPSTII method demonstrates a feasible and effective approach to protect privacy in electronic medical records from 19 hospitals, offering comprehensive insights for infectious disease research using Chinese electronic medical records, with protocols tailored for accurate STI data extraction and enhanced protection compared to traditional methods.","PeriodicalId":501072,"journal":{"name":"medRxiv - Health Economics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Health Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.08.13.24311908","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Objectives: To formulate an efficacious approach for safeguarding the privacy information of electronic medical records. Design: Chinese patient electronic medical record text information. Setting: The Chinese Renal Disease Data System database. Participants: 3,233,174 patients between 1 Jan. 2010 and 31 Dec. 2023. Main outcome measures: Annotated patient privacy fields and the effectiveness of privacy protection Results: We have developed an automated tool named EPSTII, designed to protect the privacy of patients' sexually transmitted infection information within medical records. Through the refinement of keywords and the integration of expert knowledge, EPSTII currently achieves a 100% accuracy and recall rate. Our privacy protection measures have reached a 99.5% success rate, ensuring the utmost protection of STI patients' privacy. As the first large-scale investigation into privacy leakage and STI identification in Chinese electronic medical records, our research paves the way for the future development of patient privacy protection laws in China and the advancement of more sophisticated tools. Conclusions:The EPSTII method demonstrates a feasible and effective approach to protect privacy in electronic medical records from 19 hospitals, offering comprehensive insights for infectious disease research using Chinese electronic medical records, with protocols tailored for accurate STI data extraction and enhanced protection compared to traditional methods.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
中国电子病历中性传播感染信息的隐私保护
目的:制定有效的方法来保护电子病历的隐私信息:制定保护电子病历隐私信息的有效方法:设计:中国患者电子病历文本信息:环境:中国肾脏病数据系统数据库:主要结果测量:注释患者隐私字段和隐私保护的有效性:我们开发了一种名为 EPSTII 的自动工具,旨在保护医疗记录中患者性传播感染信息的隐私。通过改进关键词和整合专家知识,EPSTII 目前的准确率和召回率均达到了 100%。我们的隐私保护措施成功率高达 99.5%,最大限度地保护了性传播感染患者的隐私。结论:EPSTII方法展示了一种保护19家医院电子病历隐私的可行而有效的方法,为利用中国电子病历进行传染病研究提供了全面的见解,与传统方法相比,该方法为准确提取性传播疾病数据和加强保护量身定制了方案。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Co-developing a comprehensive disease policy model with stakeholders: the case of malaria during pregnancy How does participation in coal-to-gas policy and availability of natural gas pipelines affect residents' well-being? Causally-informative analyses of the effect of job displacement on all-cause and specific-cause mortality from the 1990s Finnish recession until 2020: A population registry study Privacy Protection of Sexually Transmitted Infections Information from Chinese Electronic Medical Records Quantifying the health impact of crop breeding: Revisiting the Disability-Adjusted Life Years Approach
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1