AHD2FHIR: A Tool for Mapping of Natural Language Annotations to Fast Healthcare Interoperability Resources - A Technical Case Report.

Journal: Studies in health technology and informatics
Published Date: Jun 6, 2022

Abstract

A significant portion of data in Electronic Health Records is only available as unstructured text, such as surgical or finding reports, clinical notes and discharge summaries. To use this data for secondary purposes, natural language processing (NLP) tools are required to extract structured information. Furthermore, for interoperable use, harmonization of the data is necessary. HL7 Fast Healthcare Interoperability Resources (FHIR), an emerging standard for exchanging healthcare data, defines such a structured format. For German-language medical NLP, the tool Averbis Health Discovery (AHD) represents a comprehensive solution. AHD offers a proprietary REST interface for text analysis pipelines. To build a bridge between FHIR and this interface, we created a service that translates the communication around AHD from and to FHIR. The application is available under an open source license.

Authors

  • Raphael Scheible
    Institute of Medical Informatics, Statistics and Epidemiology, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.
  • Deniz Caliskan
    Chair of Medical Informatics, Friedrich-Alexander University Erlangen-Nürnberg.
  • Patrick Fischer
    Institute of Medical Informatics, Justus-Liebig University Giessen, 35392, Giessen, Germany.
  • Fabian Thomczyk
    Institute of Medical Biometry and Statistics, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Susanne Zabka
    Institute of Medical Biometry and Statistics, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Henning Schneider
    Institute of Medical Informatics, Faculty of Medicine, Justus-Liebig-University Giessen, Giessen, Germany.
  • Martin Boeker
    Institute for Medical Biometry and Statistics, Medical Center - University of Freiburg, Faculty of Medicine, Stefan-Meier-Str. 26, Freiburg i. Br., 79104, Germany. martin.boeker@uniklinik-freiburg.de.
  • Stefan Schulz
    Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Austria.
  • Hans-Ulrich Prokosch
    Institute for Medical Informatics, University Erlangen-Nuremberg, Erlangen, Germany; Center for Medical Information and Communication, Erlangen University Hospital, Erlangen, Germany.
  • Christian Gulden
    Chair of Medical Informatics, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany.

Keywords

External Resources

Popular Topics
Recent Journals