Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Interoperation of NLP-Based Systems with Clinical Databases

  • Yves A. LussierEmail author
  • Matthew G. Crowson
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_208


Semantic web


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.

Key Points

NLP commonly relies on indexing/tokenization, which is a process of breaking down text strings into data bundles. These bundles then need to be understood, which can be accomplished by mapping to clinical ontology. These clinical ontologies provide a means of disambiguating and organizing the mapped concepts to permit more...
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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.University of ChicagoChicagoUSA

Section editors and affiliations

  • Vipul Kashyap
    • 1
  1. 1.Director, Clinical ProgramsCIGNA HealthcareBloomfieldUSA