“Although natural language processing (NLP) research in the clinical setting has occurred since the 1960s, progress in developing NLP applications for clinical text has been slow and lags behind progress made in the general NLP domain, according to an editorial in the September issue of Journal of the American Medical Informatics Association.
Wendy W. Chapman, PhD, from the department of biomedical informatics at the University of California, San Diego, and colleagues wrote there are several barriers to clinical NLP development, and shared tasks like the i2b2/VA Challenge address some of these barriers. However, barriers remain “and unless the healthcare community takes a more active role in developing new approaches for addressing the barriers, advancement and innovation will continue to be slow,” the editorial states.”
Article
Bob Mitchell, CMIO, 17 August 2011
Article (Chapman 2011)
