Querying archetype-based EHRs by search ontology-based XPath engineering.

Journal: Journal of biomedical semantics
Published Date: May 11, 2018

Abstract

BACKGROUND: Legacy data and new structured data can be stored in a standardized format as XML-based EHRs on XML databases. Querying documents on these databases is crucial for answering research questions. Instead of using free text searches, that lead to false positive results, the precision can be increased by constraining the search to certain parts of documents.

Authors

  • Stefan Kropf
    Stefan Kropf, Innovation Center Computer Assisted Surgery, (ICCAS), Leipzig University, Semmelweisstraße 14, 04103 Leipzig, Germany, E-mail: stefan.kropf@imise.uni-leipzig.de.
  • Alexandr Uciteli
    Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany.
  • Katrin Schierle
    Institute of Pathology, Leipzig University Hospital, Liebigstraße 26, Leipzig, 04103, Germany.
  • Peter Krücken
  • Kerstin Denecke
    Institute for Medical Informatics, Bern University of Applied Sciences, Bern, Switzerland.
  • Heinrich Herre
    Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany.

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