by
Olga Patterson, PhD
Seminar date: 7/11/2019
Description: More than 80% of all clinically relevant information is stored in the electronic medical record as text written by clinicians during routine patient care. Each time a physician interacts with a patient, this interaction is documented in the form of discharge summaries, progress notes, pathology reports, nursing notes, or one of several other clinical notes. The information is locked in the clinical narrative text and an automatic extraction of this data requires natural language processing (NLP). This presentation is an introduction to the field of NLP and it will explore the ways NLP can be used to improve the quality of research within the VA. Intended Audience: VINCI users as well as the larger HSR&D research community
DOWNLOAD: PDF handout | Audio only (mp3) | transcript
