术语
医学
文档
人工智能
自然语言处理
领域(数学)
医疗保健
质量(理念)
结肠镜检查
健康档案
质量管理
数据科学
计算机科学
语言学
哲学
管理制度
管理
认识论
经济
程序设计语言
经济增长
内科学
数学
结直肠癌
癌症
纯数学
作者
Jason K. Hou,Timothy D. Imler,Thomas F. Imperiale
标识
DOI:10.1016/j.cgh.2014.05.013
摘要
Natural language processing (NLP) is a technology that uses computer-based linguistics and artificial intelligence to identify and extract information from free-text data sources such as progress notes, procedure and pathology reports, and laboratory and radiologic test results. With the creation of large databases and the trajectory of health care reform, NLP holds the promise of enhancing the availability, quality, and utility of clinical information with the goal of improving documentation, quality, and efficiency of health care in the United States. To date, NLP has shown promise in automatically determining appropriate colonoscopy intervals and identifying cases of inflammatory bowel disease from electronic health records. The objectives of this review are to provide background on NLP and its associated terminology, to describe how NLP has been used thus far in the field of digestive diseases, and to identify its potential future uses.
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