Natural language processing challenges in HIV/AIDS clinic notes. Academic Article uri icon

Overview

MeSH

  • Acquired Immunodeficiency Syndrome
  • Humans
  • Vocabulary, Controlled

MeSH Major

  • HIV Infections
  • Medical Records Systems, Computerized
  • Natural Language Processing

abstract

  • In recent years, significant progress has been achieved toward increased structured data entry using standardized health care terminologies. Concurrently, the value of narrative as the clinician's rich description of the encounter and source of vital information has been reaffirmed. Natural language processing (NLP) offers a strategy for integrating these approaches to provide structured reports for further computer processing. As part of a larger project aimed at using narrative data to enrich the online medical record, we analyzed a small sample of documents in a corpus of progress notes to identify potential challenges associated with using NLP for HIV/AIDS clinic notes. We provide illustrative examples of five types of challenges.

publication date

  • 2003

has subject area

  • Acquired Immunodeficiency Syndrome
  • HIV Infections
  • Humans
  • Medical Records Systems, Computerized
  • Natural Language Processing
  • Vocabulary, Controlled

Research

keywords

  • Journal Article

Identity

Language

  • eng

PubMed Central ID

  • PMC1480114

PubMed ID

  • 14728377

Additional Document Info

start page

  • 872