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SNOMED CT
Entity Linking Challenge
In early 2024, SNOMED International launched a challenge to link spans of text in clinical notes with specific topics in the SNOMED CT clinical terminology.
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The Challenge concluded in March 2024 and awarded a share of $25,000 in prizes to three successful teams.
A challenge to uncover how entity linking models can improve healthcare delivery
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The SNOMED CT Entity Linking Challenge posed an opportunity to advance the development of efficient and reliable tools for automating the coding of patient data, facilitating interoperability, decision support, and improving healthcare delivery.
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Much of the world’s healthcare data is stored in free-text documents, usually clinical notes taken by clinicians. Extracting useful information from these notes would unlock incredible opportunities for analytics and research, in turn stimulating the development of new medicines, treatment pathways, and better patient outcomes.
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The objective?
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The objective of this competition was to train machine learning models to link clinical notes with specific topics. Participants were challenged to train models based on real-world doctor’s notes, which have been deidentified and annotated with SNOMED CT concepts by medically trained professionals. This is the largest publicly available dataset of labeled clinical notes, and you can be one of the first to use it!
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The algorithms that perform best on additional real-world data have been publicly recognized on the challenge leaderboard, and awarded a share of $25,000 in cash prizes.
Challenge Partners
SPONSORED BY:
COLLABORATOR:
CLINICAL NOTES PROVIDER:
HOSTED BY:
