A systematic review of natural language processing for classification tasks in the field of incident reporting and adverse event analysis.

Journal: International journal of medical informatics
Published Date: Oct 5, 2019

Abstract

CONTEXT: Adverse events in healthcare are often collated in incident reports which contain unstructured free text. Learning from these events may improve patient safety. Natural language processing (NLP) uses computational techniques to interrogate free text, reducing the human workload associated with its analysis. There is growing interest in applying NLP to patient safety, but the evidence in the field has not been summarised and evaluated to date.

Authors

  • Ian James Bruce Young
    Department of Anaesthesia, Critical Care and Pain Medicine, Edinburgh Royal Infirmary, 51 Little France Crescent, Edinburgh, Scotland, EH16 4SA, United Kingdom. Electronic address: Ianyoung3@nhs.net.
  • Saturnino Luz
    Usher Institute of Population Health Sciences and Informatics, Edinburgh Medical School, Molecular, Genetic and Population Health Sciences, University of Edinburgh, Edinburgh, Scotland, UK.
  • Nazir Lone
    Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, United Kingdom. Electronic address: Nazir.lone@ed.ac.uk.

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