中国电子病历中性传播感染信息的隐私保护

Mengchun Gong, Yue Yu, Zihao OuYang, Wenzhao Shi, Chao Liu, Qilin Wang, Jiale Nan, Endi Cai, Fen Ding, Sheng Nie
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引用次数: 0

摘要

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