Application of Chinese medical document anonymization in EMR system

Anonymization of the medical document provides effective protection of patient privacy so as to promote the development of anonymization of electronic medical records in China. However, traditional methods which identify patient privacy manually are not only inefficient with frequent errors and omissions but also labor-consuming. To solve this problem, this paper introduces an algorithm which has achieved batch anonymizing Chinese medical document upon EMR system through fragmenting natural sentences and words of medical document and fully exploiting the correlation between the names and the context. With this approach, the name detection rate has reached 96.82%, higher than manual average PHI detection rate of 81% done by clinical staff and has meanwhile reached an accuracy of 90.57%. It has reduced the impact of anonymization on the clinical and medical value of medical document to the maximum degree while still protecting patient privacy.