Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Scheible, R; Caliskan, D; Fischer, P; Thomczyk, F; Zabka, S; Schneider, H; Boeker, M; Schulz, S; Prokosch, HU; Gulden, C.
AHD2FHIR: A Tool for Mapping of Natural Language Annotations to Fast Healthcare Interoperability Resources - A Technical Case Report.
Stud Health Technol Inform. 2022; 290: 32-36.
Doi: 10.3233/SHTI220026
(- Case Report)
PubMed
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- Co-Autor*innen der Med Uni Graz
- Schulz Stefan
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- 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.
- Find related publications in this database (using NLM MeSH Indexing)
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