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

LIu, Feifan
Moosavinasab, Soheil
Houston, Thomas K.
Yu, Hong
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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.

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

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23304328
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Copyright ©2012 AMIA. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose.
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