Overview of the MEDIQA-SYNUR 2026 Shared Task on Observation Extraction from Nurse Dictations

Abstract

Hospital nurses spend a significant portion of their shifts performing manual data entry tasks. An automatic solution for extracting medical information from nurse dictations into large spreadsheet ontology (flowsheet) could reduce the documentation burden of nurses and alleviate nurse burnout. We introduce the MEDIQA-SYNUR shared task, the first challenge on extracting and normalizing clinical observations from nurse dictations and mapping them to a large ontology of clinical concepts. 13 teams participated in the challenge and experimented with a broad range of approaches. In this paper, we describe the MEDIQA-SYNUR task, the datasets, and the participant’s results and solutions.

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