3000PA-Towards a National Reference Corpus of German Clinical Language
View Publication On PubMed
Export 
BiBTeXWe introduce 3000PA, a clinical document corpus composed of 3,000 EPRs from three different clinical sites, which will serve as the backbone of a national reference language resource for German clinical NLP. We outline its design principles, results from a medication annotation campaign and the evaluation of a first medication information extraction prototype using a subset of 3000PA.
PubMed ID: 29677916
DOI: 10.3233/978-1-61499-852-5-26
Projects: SMITH - Smart Medical Information Technology for Healthcare
Publication type: InProceedings
Journal: Stud Health Technol Inform
Book Title: Volume 247: Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth
Editors: Udo Hahn, Franz Matthies, Christina Lohr, Markus Löffler
Publisher: Studies in Health Technology and Informatics
Human Diseases: No Human Disease specified
Citation: Hahn U, Matthies F, Lohr C, Löffler M. 3000PA-Towards a National Reference Corpus of German Clinical Language. Stud Health Technol Inform. 2018;247:26-30. PMID: 29677916.
Date Published: 24th Apr 2018
URL: http://ebooks.iospress.nl/publication/48747
Registered Mode: manually
Export PNG
Download
Submitter
Views: 2067
Created: 7th Sep 2020 at 13:38
Last updated: 30th Jan 2023 at 11:53
TagsThis item has not yet been tagged.
AttributionsNone
Related items
Medical data routinely generated in everyday clinical practice is processed and made available to medical research in a standardized form. Patients benefit from reliable research results, more precise diagnoses and better treatments. In order to link data from care and research, the participating university hospitals in Aachen, Bonn, Essen, Halle, Hamburg, Jena and Leipzig have established sustainable Data Integration Centers. The network partners Ruhr University Bochum, the Düsseldorf University ...
Programme: MII - Medical Informatics Initiative
Public web page: https://www.smith.care/
Start date: 1st Jan 2018
One of the challenges of Phenotypingt is that too little clinical information is available as machine-readable data sets. Admission letters, findings and operating room reports in particular contain valuable information such as diagnoses, medications, side effects and laboratory data that can only be extracted using methods of natural language processing and semantic text analysis methods. Natural Language Processing (NLP) is used to process documents from the Hospital Information System (HIS). ...
Projects: LHA - Leipzig Health Atlas, Onto-Med Research Group, SMITH - Smart Medical Information Technology for Healthcare, Task Force COVID-19 Leipzig, NFDI4Health, LIFE Child, LIFE - Leipzig Research Center for Civilization Diseases, Project Test Demonstrator
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Universitätsklinikum Leipzig, AöR, invalid
https://orcid.org/0000-0002-1166-0368
Profile image source: Swen Reichhold
Projects: SMITH - Smart Medical Information Technology for Healthcare
Institutions: Friedrich-Schiller-Universität Jena
- since 2023: Research Assistant at IMISE of Leipzig University
- 2016 - 2022: Research Assistant at JULIE Lab of Friedrich Schiller University Jena
- 2015 - 2016: Research Assistant at Chemnitz University of Technology, Chair Media Informatics and Chair Practical Computer Science
- 2007 - 2015: Student Assistant at Klinikum Chemnitz (Klinik für Allgemein- und Viszeralchirurgie)
- 2012 - 2015: Studies of Computer Science at Chemnitz University of Technology (Master of Science)
- 2007 - 2012: ...
Projects: LHA - Leipzig Health Atlas, LIFE Adult, LIFE - Leipzig Research Center for Civilization Diseases, LIFE HNC - Head and Neck Cancer Group, MMML - Molecular mechanisms in malignant lymphoma, GLA - German Lymphoma Alliance, MMML Demonstrators - Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine, MMML-MYC-SYS, Genetical Statistics and Systems Biology, SepNet - German Competence Network Sepsis, HaematoSys - Systems biology of haematopoiesis and haematopoietic neoplasia, e:Med, SMITH - Smart Medical Information Technology for Healthcare, Task Force COVID-19 Leipzig, NFDI4Health, POLAR - Polypharmacy, Drug Interactions, Risks
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig
Prof. Dr. Markus Löffler Universität Leipzig Institut für Medizinische Informatik, Statistik und Epidemiologie Härtelstraße 16-18 04107 Leipzig
Profile image source: Swen Reichhold
The medical informatics initiative was created to close the gap between research and healthcare. All of Germany’s university hospitals have joined forces with research institutions, businesses, health insurers, and patient advocacy groups to create a framework that harnesses research findings to the direct benefit of patients. The German Federal Ministry of Education and Research (BMBF) is investing around 160 million euros in the programme through 2021. The digitisation of medicine is creating ...
Projects: Methodical Use Case PheP, SMITH - Smart Medical Information Technology for Healthcare, POLAR - Polypharmacy, Drug Interactions, Risks
