Quantitative analysis of manual annotation of clinical text samples.

Journal: International journal of medical informatics
Published Date: Dec 31, 2018

Abstract

BACKGROUND: Semantic interoperability of eHealth services within and across countries has been the main topic in several research projects. It is a key consideration for the European Commission to overcome the complexity of making different health information systems work together. This paper describes a study within the EU-funded project ASSESS CT, which focuses on assessing the potential of SNOMED CT as core reference terminology for semantic interoperability at European level.

Authors

  • Jose A Miñarro-Giménez
    Institute of Medical Informatics, Statistics, and Documentation, Medical University of Graz, Austria.
  • Ronald Cornet
    Department of Medical Informatics, Academic Medical Center, University of Amsterdam, Meibergdreef 15, 1105 AZ Amsterdam, The Netherlands; Department of Biomedical Engineering, Linköping University, SE-581 83 Linköping, Sweden.
  • M C Jaulent
    Laboratoire d'Informatique Médicale et Ingénierie des Connaissances en eSanté, Institut National de la Santé et de la Recherche Médicale, Sorbonne Université, Université Paris 13, France.
  • Heike Dewenter
    University of Applied Sciences Niederrhein, Krefeld, Germany.
  • Sylvia Thun
    Charité Universitätsmedizin, Berlin Institute of Health, Germany.
  • Kirstine Rosenbeck Gøeg
    Department of Health Science and Technology, Aalborg University, Denmark.
  • Daniel Karlsson
    Department of Biomedical Engineering, Linköping University; Linköping, Sweden.
  • Stefan Schulz
    Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Austria.

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