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Topic

SNOMED CT Research Web Series: June

Description

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.

Presenter: Stefan Schulz, Full Professor Medizinische Universität Graz (Austria)

Time

Jun 29, 2022 03:00 PM in Universal Time UTC

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Message preview	Hi there, You are invited to a Zoom webinar. When: Jun 29, 2022 15:00 Universal Time UTC Topic: SNOMED CT Research Web Series: June Register in advance for this webinar: https://snomed.zoom.us/webinar/register/WN_6VcGwYn2ROOIBGsq8f8TSA After registering, you will receive a confirmation email containing information about joining the webinar. ---------- Webinar Speakers Dr. Stefan Schulz (Full Professor @Medizinische Universität Graz (Austria)) Stefan 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.

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