Current and future applications of natural language processing in the field of digestive diseases

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1257-1261
Number of pages5
JournalClinical Gastroenterology and Hepatology
Volume12
Issue number8
DOIs
StatePublished - 2014

Fingerprint

Natural Language Processing
Health Care Reform
Electronic Health Records
Quality of Health Care
Information Storage and Retrieval
Artificial Intelligence
Colonoscopy
Linguistics
Inflammatory Bowel Diseases
Terminology
Documentation
Databases
Pathology
Technology

Keywords

  • Adenoma detection rate
  • Clinical decision support
  • Colonoscopy
  • Inflammatory bowel disease
  • Natural language processing
  • Performance measures
  • Quality improvement

ASJC Scopus subject areas

  • Gastroenterology
  • Hepatology
  • Medicine(all)

Cite this

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abstract = "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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