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医学文本短信法:基于学习且富含知识的短信式医学文本缩写

MedTxting: learning based and knowledge rich SMS-style medical text contraction.

作者信息

Liu Feifan, Moosavinasab Soheil, Houston Thomas K, Yu Hong

机构信息

University of Wisconsin Milwaukee, Milwaukee, WI, USA.

出版信息

AMIA Annu Symp Proc. 2012;2012:558-67. Epub 2012 Nov 3.

Abstract

In mobile health (M-health), Short Message Service (SMS) has shown to improve disease related self-management and health service outcomes, leading to enhanced patient care. However, the hard limit on character size for each message limits the full value of exploring SMS communication in health care practices. To overcome this problem and improve the efficiency of clinical workflow, we developed an innovative system, MedTxting (available at http://medtxting.askhermes.org), which is a learning-based but knowledge-rich system that compresses medical texts in a SMS style. Evaluations on clinical questions and discharge summary narratives show that MedTxting can effectively compress medical texts with reasonable readability and noticeable size reduction. Findings in this work reveal potentials of MedTxting to the clinical settings, allowing for real-time and cost-effective communication, such as patient condition reporting, medication consulting, physicians connecting to share expertise to improve point of care.

摘要

在移动健康(M-Health)领域,短消息服务(SMS)已被证明能改善与疾病相关的自我管理和健康服务结果,从而提升患者护理水平。然而,每条消息的字符数硬限制阻碍了在医疗实践中充分发掘短信通信的价值。为克服这一问题并提高临床工作流程的效率,我们开发了一个创新系统MedTxting(可在http://medtxting.askhermes.org获取),这是一个基于学习但知识丰富的系统,它以短信风格压缩医学文本。对临床问题和出院小结叙述的评估表明,MedTxting能够有效压缩医学文本,同时保持合理的可读性并显著减小文本大小。这项工作的研究结果揭示了MedTxting在临床环境中的潜力,可实现实时且经济高效的通信,如患者病情报告、用药咨询、医生之间连接以共享专业知识从而改善即时医疗服务。

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