After a couple month hiatus we are back with our June SNOMED CT Research Webinar!
Join us on Wednesday, 29th June at 15UTC when Dr. Stefan Schultz of the Medical University of Graz, Austria will present 'Is SNOMED CT an appropriate reference terminology for mining electronic health records?'
Much content in EHRs is only available in narrative form. Information extraction based on NLP (Natural Language Processing) is therefore an important step towards interoperability of unstructured content. Based on the author's experience of automatically annotating German language clinical texts with SNOMED CT, this talk highlights lessons learnt and ongoing challenges, particularly regarding the match between clinicians' jargon and the language of controlled terminologies.
About Dr. Stefan Schulz
Dr. Schulz is a professor of Medical Informatics at the Medical University of Graz, Austria. Trained as physician, his research encompasses electronic health records, medical language processing, biomedical terminologies, and the application of formal ontologies for biomedical knowledge representation. He has contributed to the development of clinical terminology standards such as WHO classifications and SNOMED CT, where he is currently member of the Modelling Advisory Group and the German Translation Group. Stefan Schulz has also the role of Head of Medical Research Projects at Averbis, a German language engineering company.
Wednesday, June 29, 2022 15 UTC
Free Registration:
snomed.zoom.us/webinar/register/WN_6VcGwYn2ROOIBGsq8f8TSA