Clustering Similar Clinical Documents in Electronic Health Records

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Presentation transcript:

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

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.