AHD2FHIR: A Tool for Mapping of Natural Language Annotations to Fast Healthcare Interoperability Resources - A Technical Case Report.
Scheible R, Caliskan D, Fischer P, Thomczyk F, Zabka S, Schneider H, Boeker M, Schulz S, Prokosch HU, Gulden C (2022)
Publication Type: Journal article
Publication year: 2022
Journal
Book Volume: 290
Pages Range: 32-36
DOI: 10.3233/SHTI220026
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 with CRIS profile
Hans-Ulrich Prokosch
Lehrstuhl für Medizinische Informatik
Christian Gulden
Lehrstuhl für Medizinische Informatik
Involved external institutions
Technische Universität München (TUM)
Germany (DE)
Universitätsklinikum Freiburg
Germany (DE)
Justus-Liebig-Universität Gießen
Germany (DE)
Averbis GmbH
Germany (DE)
Germany (DE)
Universitätsklinikum Freiburg
Germany (DE)
Justus-Liebig-Universität Gießen
Germany (DE)
Averbis GmbH
Germany (DE)
How to cite
APA:
Scheible, R., Caliskan, D., Fischer, P., Thomczyk, F., Zabka, S., Schneider, H.,... Gulden, C. (2022). AHD2FHIR: A Tool for Mapping of Natural Language Annotations to Fast Healthcare Interoperability Resources - A Technical Case Report. Studies in health technology and informatics, 290, 32-36. https://doi.org/10.3233/SHTI220026
MLA:
Scheible, Raphael, et al. "AHD2FHIR: A Tool for Mapping of Natural Language Annotations to Fast Healthcare Interoperability Resources - A Technical Case Report." Studies in health technology and informatics 290 (2022): 32-36.
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