[The analysis of CIRSmedical.de using Natural Language Processing].

Journal: Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen
Published Date: Feb 17, 2022

Abstract

BACKGROUND: CIRSmedical.de is a publicly accessible, cross-institutional reporting and learning system, which is organized by the German Agency for Quality in Medicine (ÄZQ). CIRSmedical.de has existed since 2005 and has published more than 6,000 event reports. Up to now it has been common practice to analyse these reports in detail or carry out systematic evaluations focusing on specific topics. A systematic evaluation of all case reports has not yet been conducted. Natural Language Processing (NLP) is an analysis strategy from the field of Artificial Intelligence for indexing texts. The examination of case reports using NLP was carried out to describe the characteristics of event reports and comments.

Authors

  • Laura Tetzlaff
    Technische Hochschule Brandenburg, Fachbereich Informatik und Medien, Brandenburg, Deutschland. Electronic address: tetzlaff@th-brandenburg.de.
  • Andrea Sanguino Heinrich
    Ärztliches Zentrum für Qualität in der Medizin (ÄZQ). Gemeinsames Institut von BÄK und KBV, Berlin, Deutschland.
  • Romy Schadewitz
    Ärztliches Zentrum für Qualität in der Medizin (ÄZQ). Gemeinsames Institut von BÄK und KBV, Berlin, Deutschland.
  • Christian Thomeczek
    Ärztliches Zentrum für Qualität in der Medizin (ÄZQ). Gemeinsames Institut von BÄK und KBV, Berlin, Deutschland.
  • Thomas Schrader
    Technische Hochschule Brandenburg, Fachbereich Informatik und Medien, Brandenburg, Deutschland.

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