Annotating Medical Forms Using UMLS

  • Victor Christen
  • Anika Groß
  • Julian Varghese
  • Martin Dugas
  • Erhard Rahm
Conference paper

DOI: 10.1007/978-3-319-21843-4_5

Volume 9162 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Christen V., Groß A., Varghese J., Dugas M., Rahm E. (2015) Annotating Medical Forms Using UMLS. In: Ashish N., Ambite JL. (eds) Data Integration in the Life Sciences. DILS 2015. Lecture Notes in Computer Science, vol 9162. Springer, Cham

Abstract

Medical forms are frequently used to document patient data or to collect relevant data for clinical trials. It is crucial to harmonize medical forms in order to improve interoperability and data integration between medical applications. Here we propose a (semi-) automatic annotation of medical forms with concepts of the Unified Medical Language System (UMLS). Our annotation workflow encompasses a novel semantic blocking, sophisticated match techniques and post-processing steps to select reasonable annotations. We evaluate our methods based on reference mappings between medical forms and UMLS, and further manually validate the recommended annotations.

Keywords

Semantic annotation Medical forms Clinical trials UMLS 

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Victor Christen
    • 1
  • Anika Groß
    • 1
  • Julian Varghese
    • 2
  • Martin Dugas
    • 2
  • Erhard Rahm
    • 1
  1. 1.Department of Computer ScienceUniversität LeipzigLeipzigGermany
  2. 2.Institute of Medical InformaticsUniversität MünsterMünsterGermany