Interoperation of NLP-Based Systems with Clinical Databases
Natural language processing (NLP) is the automation of processes to interpret and understand meaning in human communications. In the life sciences, NLP assists in wide-scale storage and retrieval of specific “bundles” of clinical data embedded in patient charts which are commonly “free text”. Both expert-system and statistical based NLPs have been in use in biomedicine for over three decades and some have shown an expert-like level of accuracy [1,3,6]. With the advent of electronic medical records, the sheer amount of data necessitates automated means for proper analysis to aid in patient care and research purposes.
- 2.Chen ES, Hripcsak G, Friedman C. Disseminating natural language processed clinical narratives. AMIA annual symposium proceedings. 2006. p. 126–30.Google Scholar
- 7.Johnson SB, Campbell DA, Krauthammer M, Tulipano PK, Medonca EA, Friedman C, Hripcsak G. A native XML database design for clinical document research. AMIA annual symposium Proceedings. 2003. p. 883.Google Scholar