Suppr超能文献

开发一个用于重新利用去标识化电子健康记录数据的自助查询界面。

Developing a self-service query interface for re-using de-identified electronic health record data.

作者信息

Cimino James J, Ayres Elaine J, Beri Andrea, Freedman Robert, Oberholtzer Ellen, Rath Sachi

机构信息

Laboratory for Informatics Development, the Clinical Center of the US National Institutes of Health, Bethesda, Maryland, USA.

出版信息

Stud Health Technol Inform. 2013;192:632-6.

Abstract

The US National Institutes of Health has developed a repository of clinical research data drawn in part from electronic health records. A new de-identified data query tool under development has been developed to support re-use of these data. We used a collection of 30 human-mediated user queries to determine whether features of the tool will be sufficient to allow users to carry out the queries themselves. The results show that the tool implemented in February 2013 will carry out a small percentage of user queries but the planned extensions will be sufficient for carrying out the majority of such queries. Future development of the tool will include extensions that correspond to the features found in human-mediated queries.

摘要

美国国立卫生研究院已经建立了一个临床研究数据库,部分数据来源于电子健康记录。目前正在开发一种新的去识别化数据查询工具,以支持这些数据的再利用。我们使用了30个由人工介导的用户查询集合,来确定该工具的功能是否足以让用户自行进行查询。结果表明,2013年2月实施的该工具只能完成一小部分用户查询,但计划中的扩展功能将足以完成大部分此类查询。该工具未来的开发将包括与人工介导查询中发现的功能相对应的扩展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82d9/4209406/ab09776fd233/nihms636369f1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验