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WangLab at MEDIQA-CORR 2024: Optimized LLM-based Programs for Medical Error Detection and Correction
April 24, 2024, 4:47 a.m. | Augustin Toma, Ronald Xie, Steven Palayew, Patrick R. Lawler, Bo Wang
cs.CL updates on arXiv.org arxiv.org
Abstract: Medical errors in clinical text pose significant risks to patient safety. The MEDIQA-CORR 2024 shared task focuses on detecting and correcting these errors across three subtasks: identifying the presence of an error, extracting the erroneous sentence, and generating a corrected sentence. In this paper, we present our approach that achieved top performance in all three subtasks. For the MS dataset, which contains subtle errors, we developed a retrieval-based system leveraging external medical question-answering datasets. For …
abstract arxiv clinical cs.cl detection error errors llm medical patient risks safety text type
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