Request Correction
Use this form to request corrections to the paper metadata. Select the fields that need correction and provide the correct information.
Correction Guidelines
- Click the edit button next to a field to report a correction.
- Fill in the suggested correction value for each field you want to correct.
- Provide your name and email so we can contact you if needed.
Paper Information
Overview of the MEDIQA-SYNUR 2026 Shared Task on Observation Extraction from Nurse Dictations
Paper Fields
Click the edit button next to a field to report a correction.
Overview of the MEDIQA-SYNUR 2026 Shared Task on Observation Extraction from Nurse Dictations
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.
Authors
Expand an author to correct their information. Use the remove button to request author removal, or add a new author.
PDF Attachment
You may attach a PDF as a corrected version of the paper. Max file size: 10MB. Only PDF files are accepted.
Your Information
Author Declaration *
Select at least one field to correct using the edit buttons above.