University of Melbourne.
Stud Health Technol Inform. 2024 Sep 24;318:174-175. doi: 10.3233/SHTI240914.
Identifying protected health identifiers (PHIs) in free text is core to anonymising clinical notes for research. There is no standard metric for the quality of a PHI detection algorithm, resulting in papers reporting heterogeneous results. CensorCheck is presented, which computes specialised metrics for evaluating PHI detection taking into account the peculiarities of anonymisation tasks.
识别自由文本中的受保护健康标识符 (PHI) 是为研究对临床记录进行去标识化的核心。目前还没有用于 PHI 检测算法质量的标准指标,导致报告的结果存在差异。本文提出了 CensorCheck,它计算了专门的指标来评估 PHI 检测,同时考虑到去标识化任务的特点。