1. Clustering Similar Clinical Documents in Electronic Health Records
ICDS 2018
Clustering Similar Clinical Documents in Electronic Health Records
Chunlei Tang, Joseph M. Plasek, Yun Xiong, David W. Bates, Li Zhou
Harvard Medical School
Fudan University

5. Identifying the similarity of the overall content clinical documents in the electronic health record (EHR) is important for tasks. Integrating our method into EHR systems may:
enhance retrievability of cases for case-based learning;
detect the use of copy/paste functionality;
allow for the reclassification of patients based on the contents of the clinical document.