Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes.

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M Churpek, Majid Afshar
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Abstract

The BioNLP Workshop 2023 initiated the launch of a shared task on Problem List Summarization (ProbSum) in January 2023. The aim of this shared task is to attract future research efforts in building NLP models for real-world diagnostic decision support applications, where a system generating relevant and accurate diagnoses will augment the healthcare providers' decision-making process and improve the quality of care for patients. The goal for participants is to develop models that generated a list of diagnoses and problems using input from the daily care notes collected from the hospitalization of critically ill patients. Eight teams submitted their final systems to the shared task leaderboard. In this paper, we describe the tasks, datasets, evaluation metrics, and baseline systems. Additionally, the techniques and results of the evaluation of the different approaches tried by the participating teams are summarized.

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问题列表总结概述(ProbSum) 2023关于总结患者主动诊断和电子健康记录进度记录问题的共享任务。
BioNLP Workshop 2023于2023年1月启动了一个关于问题列表总结(ProbSum)的共享任务。这项共同任务的目的是吸引未来的研究努力,为现实世界的诊断决策支持应用建立NLP模型,其中系统生成相关和准确的诊断将增加医疗保健提供者的决策过程,提高对患者的护理质量。参与者的目标是开发模型,利用从危重病人住院时收集的日常护理笔记的输入,生成诊断和问题列表。8个团队向共享任务排行榜提交了他们的最终系统。在本文中,我们描述了任务、数据集、评估指标和基线系统。此外,还总结了各参赛队尝试的不同方法的技术和评估结果。
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