PaniniQA: Enhancing Patient Education Through Interactive Question Answering

IF 4.2 1区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Transactions of the Association for Computational Linguistics Pub Date : 2023-08-07 DOI:10.1162/tacl_a_00616

Pengshan Cai, Zonghai Yao, Fei Liu, Dakuo Wang, Meghan Reilly, Huixue Zhou, Lingxi Li, Yifan Cao, Alok Kapoor, Adarsha S. Bajracharya, D. Berlowitz, Hongfeng Yu

引用次数: 0

Abstract

Abstract A patient portal allows discharged patients to access their personalized discharge instructions in electronic health records (EHRs). However, many patients have difficulty understanding or memorizing their discharge instructions (Zhao et al., 2017). In this paper, we present PaniniQA, a patient-centric interactive question answering system designed to help patients understand their discharge instructions. PaniniQA first identifies important clinical content from patients’ discharge instructions and then formulates patient-specific educational questions. In addition, PaniniQA is also equipped with answer verification functionality to provide timely feedback to correct patients’ misunderstandings. Our comprehensive automatic & human evaluation results demonstrate our PaniniQA is capable of improving patients’ mastery of their medical instructions through effective interactions.1

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PaniniQA：通过交互式问题解答加强患者教育

摘要患者门户网站允许出院患者访问电子健康记录（EHR）中的个性化出院指导。然而，许多患者很难理解或记住他们的出院指导（Zhao 等人，2017）。在本文中，我们介绍了 PaniniQA，这是一个以患者为中心的交互式问题解答系统，旨在帮助患者理解他们的出院指导。PaniniQA 首先从患者的出院指导中识别出重要的临床内容，然后制定出针对患者的教育问题。此外，PaniniQA 还配备了答案验证功能，可提供及时反馈，纠正患者的误解。我们的自动和人工综合评估结果表明，PaniniQA 能够通过有效的互动提高患者对医嘱的掌握程度1。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Transactions of the Association for Computational Linguistics Multiple-

CiteScore

32.60

自引率

4.60%

发文量

审稿时长

8 weeks

期刊介绍： The highly regarded quarterly journal Computational Linguistics has a companion journal called Transactions of the Association for Computational Linguistics. This open access journal publishes articles in all areas of natural language processing and is an important resource for academic and industry computational linguists, natural language processing experts, artificial intelligence and machine learning investigators, cognitive scientists, speech specialists, as well as linguists and philosophers. The journal disseminates work of vital relevance to these professionals on an annual basis.