A prototype application for real-time recognition and disambiguation of clinical abbreviations

Yonghui Wu, Joshua C. Denny, S. Trent Rosenbloom, Randolph A. Miller, Dario A. Giuse, Min Song, Hua Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

To save time, healthcare providers frequently use abbreviations while authoring clinical documents. Nevertheless, abbreviations that authors deem unambiguous often confuse other readers, including clinicians, patients, and natural language processing (NLP) systems. Most current clinical NLP systems "post-process" notes long after clinicians enter them into electronic health record systems (EHRs). Such post-processing cannot guarantee 100% accuracy in abbreviation identification and disambiguation, since multiple alternative interpretations exist. In this paper, authors describe a prototype system for real-time Clinical Abbreviation Recognition and Disambiguation (CARD) - i.e., a system that interacts with authors during note generation to verify correct abbreviation senses. The CARD system design anticipates future integration with web-based clinical documentation systems to improve quality of healthcare records. The prototype application embodies three word sense disambiguation (WSD) methods. We evaluated the accuracy and response times of the prototype CARD system in a simulated study. Using an existing test data set of 25 commonly observed, highly ambiguous clinical abbreviations the evaluation demonstrated that the best WSD method had an accuracy of 88.8%, and a reasonable average response time of 1.6 milliseconds per each abbreviation. The study indicates potential feasibility of real-time NLP-enabled abbreviation disambiguation within clinical documentation systems.

Original languageEnglish
Title of host publicationDTMBIO 2013 - Proceedings of the 7th International Workshop on Data and Text Mining in Biomedical Informatics, Co-located with CIKM 2013
Pages7-8
Number of pages2
DOIs
Publication statusPublished - 2013 Dec 11
Event7th ACM International Workshop on Data and Text Mining in Biomedical Informatics, DTMBIO 2013, in Conjunction with the 22nd ACM International Conference on Information and Knowledge Management, CIKM 2013 - San Francisco, CA, United States
Duration: 2013 Nov 12013 Nov 1

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other7th ACM International Workshop on Data and Text Mining in Biomedical Informatics, DTMBIO 2013, in Conjunction with the 22nd ACM International Conference on Information and Knowledge Management, CIKM 2013
CountryUnited States
CitySan Francisco, CA
Period13/11/113/11/1

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

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  • Cite this

    Wu, Y., Denny, J. C., Rosenbloom, S. T., Miller, R. A., Giuse, D. A., Song, M., & Xu, H. (2013). A prototype application for real-time recognition and disambiguation of clinical abbreviations. In DTMBIO 2013 - Proceedings of the 7th International Workshop on Data and Text Mining in Biomedical Informatics, Co-located with CIKM 2013 (pp. 7-8). (International Conference on Information and Knowledge Management, Proceedings). https://doi.org/10.1145/2512089.2512096