De-identification of Address, Date, and Alphanumeric Identifiers in Narrative Clinical Reports
De-identification of Address, Date, and Alphanumeric Identifiers in Narrative Clinical Reports
复制标题
叙述性临床报告中地址、日期和字母数字标识符的去识别化
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
C. McDonald
中科院分区：
文献类型：
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作者：
M. Kayaalp;Allen C. Browne;Zeyno A. Dodd;P. Sagan;C. McDonald
介绍
《健康保险可携带性和责任法案》的隐私规则要求，临床文件在向研究人员和其他人发布之前必须去除个人身份信息。我们一直在开发一种软件应用程序NLM Scrubber，以消除叙述性临床报告的识别性。
方法
我们比较了NLM Scrubber与MIT和MITRE的去识别系统在3，093份临床报告中的1，636例患者。每个系统的性能进行了分析的地址，日期和字母数字标识符识别分别。还分析了它们在去识别和保留剩余临床文本方面的总体性能。
结果
NLM Scrubber对这些标识符去识别的灵敏度为99%。它在保存没有个人标识符的文本方面的特异性也达到了99%。
结论
该系统的当前版本可识别并编辑患者姓名、字母数字标识符、地址和日期。我们计划在2014年AMIA年度研讨会之前提供该系统。
INTRODUCTION
The Privacy Rule of Health Insurance Portability and Accountability Act requires that clinical documents be stripped of personally identifying information before they can be released to researchers and others. We have been developing a software application, NLM Scrubber, to de-identify narrative clinical reports.
METHODS
We compared NLM Scrubber with MIT's and MITRE's de-identification systems on 3,093 clinical reports about 1,636 patients. The performance of each system was analyzed on address, date, and alphanumeric identifier recognition separately. Their overall performance on de-identification and on conservation of the remaining clinical text was analyzed as well.
RESULTS
NLM Scrubber's sensitivity on de-identifying these identifiers was 99%. It's specificity on conserving the text with no personal identifiers was 99% as well.
CONCLUSION
The current version of the system recognizes and redacts patient names, alphanumeric identifiers, addresses and dates. We plan to make the system available prior to the AMIA Annual Symposium in 2014.
DOI：
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发表时间：
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期刊：
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影响因子：
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作者：
B. Beckwith;Rajeshwarri Mahaadevan;U. Balis;F. Kuo;Rajeshwarri
通讯作者：
B. Beckwith;Rajeshwarri Mahaadevan;U. Balis;F. Kuo;Rajeshwarri