Applying natural language processing techniques to develop a task-specific EMR interface for timely stroke thrombolysis: A feasibility study

Sheng Feng Sung, Kuanchin Chen, Darren Philbert Wu, Ling Chien Hung, Yu Hsiang Su, Ya Han Hu

研究成果: 雜誌貢獻期刊論文同行評審

24 引文 斯高帕斯(Scopus)

摘要

Objective: To reduce errors in determining eligibility for intravenous thrombolytic therapy (IVT) in stroke patients through use of an enhanced task-specific electronic medical record (EMR) interface powered by natural language processing (NLP) techniques. Materials and methods: The information processing algorithm utilized MetaMap to extract medical concepts from IVT eligibility criteria and expanded the concepts using the Unified Medical Language System Metathesaurus. Concepts identified from clinical notes by MetaMap were compared to those from IVT eligibility criteria. The task-specific EMR interface displays IVT-relevant information by highlighting phrases that contain matched concepts. Clinical usability was assessed with clinicians staffing the acute stroke team by comparing user performance while using the task-specific and the current EMR interfaces. Results: The algorithm identified IVT-relevant concepts with micro-averaged precisions, recalls, and F1 measures of 0.998, 0.812, and 0.895 at the phrase level and of 1, 0.972, and 0.986 at the document level. Users using the task-specific interface achieved a higher accuracy score than those using the current interface (91% versus 80%, p = 0.016) in assessing the IVT eligibility criteria. The completion time between the interfaces was statistically similar (2.46 min versus 1.70 min, p = 0.754). Discussion: Although the information processing algorithm had room for improvement, the task-specific EMR interface significantly reduced errors in assessing IVT eligibility criteria. Conclusion: The study findings provide evidence to support an NLP enhanced EMR system to facilitate IVT decision-making by presenting meaningful and timely information to clinicians, thereby offering a new avenue for improvements in acute stroke care.

原文???core.languages.en_GB???
頁(從 - 到)149-157
頁數9
期刊International Journal of Medical Informatics
112
DOIs
出版狀態已出版 - 4月 2018

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