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.