Consortium for Healthcare Informatics Research
Using Natural Language Processing to Identify Lines and Devices in Portable Chest X-Ray Reports
Mary Goldstein, MD, Msc
Tammy Hwang, B.A.
Dan Wang, PhD
Seminar date: 3/29/2012
Description: Portable chest x-ray (CXR) reports routinely describe the presence, insertion, or removal of medical devices which are commonly associated with blood-borne infections; yet, this information usually appears in the electronic health record as free-text rather than structured text, making it hard to use for timely infection surveillance. We developed a natural language processing (NLP) system to extract structured data from CXR reports in order to enable infection surveillance and epidemiological research. This seminar will describe development and evaluation of the NLP and will provide a look-ahead to potential applications.
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