Text Mining and Automation for Processing of Patient Referrals.

Journal: Applied clinical informatics
Published Date: Mar 28, 2018

Abstract

BACKGROUND: Various tasks within health care processes are repetitive and time-consuming, requiring personnel who could be better utilized elsewhere. The task of assigning clinical urgency categories to internal patient referrals is one such case of a time-consuming process, which may be amenable to automation through the application of text mining and natural language processing (NLP) techniques.

Authors

  • James Todd
    Bond Business School, Bond University, Gold Coast, Queensland, Australia.
  • Brent Richards
    Department of Intensive Care, Gold Coast University Hospital, Gold Coast, Queensland, Australia.
  • Bruce James Vanstone
    Bond Business School, Bond University, Gold Coast, Queensland, Australia.
  • Adrian Gepp
    Bond Business School, Bond University, Gold Coast, Queensland, Australia.

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