Towards automated clinical coding.

Journal: International journal of medical informatics
Published Date: Dec 1, 2018

Abstract

BACKGROUND: Patients' encounters with healthcare services must undergo clinical coding. These codes are typically derived from free-text notes. Manual clinical coding is expensive, time-consuming and prone to error. Automated clinical coding systems have great potential to save resources, and realtime availability of codes would improve oversight of patient care and accelerate research. Automated coding is made challenging by the idiosyncrasies of clinical text, the large number of disease codes and their unbalanced distribution.

Authors

  • Finneas Catling
    University College London, Gower Street, London WC1E 6BT, UK. Electronic address: f.catling@ucl.ac.uk.
  • Georgios P Spithourakis
    University College London, Gower Street, London WC1E 6BT, UK. Electronic address: g.spithourakis@cs.ucl.ac.uk.
  • Sebastian Riedel
    University College London, Gower Street, London WC1E 6BT, UK. Electronic address: s.riedel@cs.ucl.ac.uk.

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