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Extracting Clinical Features From Dictated Ambulatory Consult Notes Using a Commercially Available Natural Language Processing Tool: Pilot, Retrospective, Cross-Sectional Validation Study.

Jeremy PetchJane BattJoshua MurrayMuhammad M Mamdani
Published in: JMIR medical informatics (2019)
The findings of this study support the use of NLP for extracting clinical features from dictated consult notes in the setting of a tuberculosis clinic. Further research is needed to fully establish the validity of NLP for this and other purposes.
Keyphrases
  • cross sectional
  • primary care
  • mycobacterium tuberculosis
  • blood pressure
  • autism spectrum disorder
  • study protocol
  • pulmonary tuberculosis
  • hiv aids
  • antiretroviral therapy
  • electronic health record