title: Automated recognition and post-coordination of complex clinical terms.
abstract: One of the key tasks in integrating guideline-based decision support systems with the electronic patient record is the mapping of clinical terms contained in both guidelines and patient notes to a common, controlled terminology. However, a vocabulary of pre-coordinated terms cannot cover every possible variation - clinical terms are often highly compositional and complex. We present a rule-based approach for automated recognition and post-coordination of clinical terms using minimal, morpheme-based thesauri, neoclassical combining forms and part-of-speech analysis. The process integrates MetaMap with the open-source GATE framework.
authors.affiliation: Centre for Health Informatics, School of Informatics, City University, London, UK.
authors.forename: Philip
authors.initials: P
authors.lastname: Gooch
authors.forename: Abdul
authors.initials: A
authors.lastname: Roudsari
mesh_terms: D002985:Clinical Protocols; D020000:Decision Support Systems, Clinical; D009323:Natural Language Processing; D018511:Systems Integration; D009626:Terminology as Topic; D018875:Vocabulary, Controlled