Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review.

Journal: BMJ health & care informatics
Published Date: Mar 1, 2021

Abstract

OBJECTIVES: Unstructured free-text patient feedback contains rich information, and analysing these data manually would require a lot of personnel resources which are not available in most healthcare organisations.To undertake a systematic review of the literature on the use of natural language processing (NLP) and machine learning (ML) to process and analyse free-text patient experience data.

Authors

  • Mustafa Khanbhai
    Patient Safety Translational Research Centre, Imperial College of Science Technology and Medicine, London, UK m.khanbhai@imperial.ac.uk.
  • Patrick Anyadi
    Patient Safety Translational Research Centre, Imperial College of Science Technology and Medicine, London, UK.
  • Joshua Symons
    Big Data and Analytical Unit, Imperial College of Science Technology and Medicine, London, UK.
  • Kelsey Flott
    Patient Safety Translational Research Centre, Imperial College of Science Technology and Medicine, London, UK.
  • Ara Darzi
    Imperial College London London UK.
  • Erik Mayer
    Patient Safety Translational Research Centre, Imperial College of Science Technology and Medicine, London, UK.

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