DE-IDENTIFICATION OF FREE TEXT PROGRESS NOTES IN MEDICAL RECORDS

医疗记录中自由文本进展注释的去识别化

• 批准号: 7366539
• 负责人: ROGER GREENWOOD MARK
• 金额: $ 0.81万
• 依托单位: BETH ISRAEL DEACONESS MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-03-01 至 2007-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7366539
• 关键词: DE; IDENTIFICATION; FREE; TEXT; PROGRESS

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. According to the guidelines established by HIPAA, all personally identifiable information must be removed from patients' medical records before those records can be shared with other medical researchers. We are developing algorithms that will de-identify free-text nursing notes as well as clincians doing the same task. A database of nursing notes manually de-identifed by hired clinicians is being created that will be made publicly available for the testing and evaluation of de-identification algorithms. We are also gathering statistics about the performance of human de-identifiers. We will use those statistics to test whether our de-identification algorithms perform at least as well as human

该子项目是利用NIH/NCRR资助的中心赠款提供的资源的许多研究子项目之一。子项目和研究者（PI）可能从另一个NIH来源获得主要资金，因此可以在其他CRISP条目中表示。所列机构为中心，不一定是研究者所在机构。根据HIPAA制定的指导方针，在与其他医学研究人员共享这些记录之前，必须从患者的医疗记录中删除所有个人身份信息。我们正在开发算法，将去识别自由文本护理笔记以及临床医生做同样的任务。正在创建一个由雇用的临床医生手动去识别的护理记录数据库，该数据库将公开用于去识别算法的测试和评估。我们还在收集关于人类识别性能的统计数据。我们将使用这些统计数据来测试我们的去识别算法是否至少与人类一样好