PaniniQA: Enhancing Patient Education Through Interactive Question Answering. Cai, P., Yao, Z., Liu, F., Wang, D., Reilly, M., Zhou, H., Li, L., Cao, Y., Kapoor, A., Bajracharya, A., Berlowitz, D., & Yu, H. Transactions of the Association for Computational Linguistics, August, 2023. Equal contributions for the first two authors.![PaniniQA: Enhancing Patient Education Through Interactive Question Answering [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex 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. 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 and human evaluation results demonstrate our PaniniQA is capable of improving patients' mastery of their medical instructions through effective interactions
@article{cai_paniniqa_2023,
title = {{PaniniQA}: {Enhancing} {Patient} {Education} {Through} {Interactive} {Question} {Answering}},
shorttitle = {{PaniniQA}},
url = {http://arxiv.org/abs/2308.03253},
abstract = {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. 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 and human evaluation results demonstrate our PaniniQA is capable of improving patients' mastery of their medical instructions through effective interactions},
urldate = {2023-08-08},
journal = {Transactions of the Association for Computational Linguistics},
author = {Cai, Pengshan and Yao, Zonghai and Liu, Fei and Wang, Dakuo and Reilly, Meghan and Zhou, Huixue and Li, Lingxi and Cao, Yi and Kapoor, Alok and Bajracharya, Adarsha and Berlowitz, Dan and Yu, Hong},
month = aug,
year = {2023},
note = {Equal contributions for the first two authors.},
keywords = {Computer Science - Artificial Intelligence, Computer Science - Computation and Language},
}
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