NLP Reveals Meaning from Unstructured Data in EMRs, Part I

Shaun J. Grannis, MD MS FACMI FAAFP, Director, and Chris Frederick, Senior Product Manager, Regenstrief Institute, Center for Biomedical Informatics. Extracting meaningful data from electronic health records in an accurate and efficient manner is challenging, with a significant portion of clinical information found only in unstructured, free-text clinical documents. Regenstrief Institute has developed and refined a Natural Language Processing (NLP)-based text-mining platform, nDepth™ capable of supporting research, quality assessment and improvement initiatives across large scale data sets.