基于NLP构建病历后结构化专病数据库探索与实践
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(1.上海中医药大学附属龙华医院 上海 200032;2.上海申康医院发展中心 上海 200041)

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张亚男,高级工程师,发表论文5篇。

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基金项目:

上海申康医院发展中心管理研究项目(项目编号:2023SKMR-22)。


Exploration and Practice of Constructing a Structured Specialized Disease Database Based on NLP for Medical Records
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(1.Longhua Hospital, Shanghai University of Traditional Chinese Medicine,Shanghai 200032,China;2.Shanghai Hospital Development Center,Shanghai 200041,China)

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    摘要:

    目的/意义 建设基于结构化电子病历的专病数据库,提高专病数据库规范性和可用性,提高临床科研工作效率。方法/过程 采用模板化输入、自然语言处理等技术,将非结构化电子病历转化为结构化电子病历,基于结构化电子病历构建专病数据库。结果/结论 龙华医院基于结构化电子病历建设的银屑病专病数据库分中心,为临床科研人员提供结构化科研数据源,辅助提升分析效率;同时有效支撑上海申康 “基于多中心的银屑病专病大数据临床科研随访一体化平台”建设,有助于专病数据库高质量、规模化发展。

    Abstract:

    Purpose/Significance To construct a specialized disease database based on structured electronic medical records (EMR), and to improve the standardization and usability of the specialized disease database and improve the efficiency of clinical scientific research. Method/Process By using templated input, natural language processing (NLP) and other technologies, unstructured EMR are converted into structured EMR, and a specialized disease database is constructed based on structured EMR. Result/Conclusion The psoriasis specialized disease database sub center built by Longhua Hospital based on structured EMR provides clinical researchers with a structured scientific research data source, assists researchers in improving analysis efficiency, and effectively supports the construction of Shanghai Shenkang’s “multi center psoriasis specialized disease big data clinical research follow-up integrated platform”, which is conducive to the high-quality and large-scale development of specialized disease databases.

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张亚男,董亮,何萍.基于NLP构建病历后结构化专病数据库探索与实践[J].医学信息学杂志,2024,45(9):82-86

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  • 最后修改日期:2024-05-18
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  • 在线发布日期: 2024-10-17
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