Papers by David Levy

2 papers
MedJEx: A Medical Jargon Extraction Model with Wiki’s Hyperlink Span and Contextualized Masked Language Model Score (2022.emnlp-main)

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Challenge: Existing natural language processing (NLP) methods for identifying medical jargon terms are difficult for patients to understand.
Approach: They propose a natural language processing application for identifying medical jargon terms from electronic health record notes.
Outcome: The proposed model outperforms state-of-the-art models on an auxiliary Wikipedia hyperlink span dataset and on the annotated MedJ dataset.
Generation of Patient After-Visit Summaries to Support Physicians (2022.coling-1)

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Challenge: After-visit summary is a summary note given to patients after their clinical visit.
Approach: They propose to automate the generation of after-visit summaries and introduce a feedback mechanism that alerts physicians when an automatic summary fails to capture important details of the clinical notes.
Outcome: The proposed system improves on a large clinical dataset that contains electronic health record (EHR) notes and their associated summaries.

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