Current and Future Applications of Natural Language Processing in the Field of Digestive Diseases

被引:27
作者
Hou, Jason K. [1 ,2 ,5 ]
Imler, Timothy D. [3 ,4 ]
Imperiale, Thomas F. [3 ,4 ,6 ]
机构
[1] Michael E DeBakey VA Med Ctr, Ctr Innovat Qual Effectiveness & Safety, Houston, TX USA
[2] Baylor Coll Med, Dept Med, Houston, TX 77030 USA
[3] Indiana Univ Sch Med, Div Gastroenterol & Hepatol, Indianapolis, IN 46202 USA
[4] Indiana Univ Sch Med, Dept Med, Indianapolis, IN 46202 USA
[5] Regenstrief Inst LLC, Dept Biomed Informat, Indianapolis, IN USA
[6] Richard L Roudebush Vet Affairs Med Ctr, Ctr Innovat Hlth Serv Res & Dev, Indianapolis, IN 46202 USA
关键词
Natural Language Processing; Colonoscopy; Adenoma Detection Rate; Inflammatory Bowel Disease; Clinical Decision Support; Performance Measures; Quality Improvement; ELECTRONIC MEDICAL-RECORDS; COLORECTAL-CANCER; SURVEILLANCE COLONOSCOPY; IDENTIFICATION; QUALITY;
D O I
10.1016/j.cgh.2014.05.013
中图分类号
R57 [消化系及腹部疾病];
学科分类号
100201 [内科学];
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.
引用
收藏
页码:1257 / 1261
页数:5
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