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Development of a Pipeline for Adverse Drug Reaction Identification in Clinical Notes: Word Embedding Models and

Klaske R Siegersma1,2, Maxime Evers1, Sophie H Bots1

  • 1Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.

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|January 25, 2022
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Summary

This study introduces ADRIN, an automated method to identify adverse drug reactions (ADRs) in Dutch clinical notes. ADRIN effectively extracts ADR information, improving drug safety surveillance and patient care.

Keywords:
adverse drug reactionsclinical notesword embeddings

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Area of Science:

  • Pharmacovigilance
  • Clinical Informatics
  • Natural Language Processing

Background:

  • Underreporting of adverse drug reactions (ADRs) limits drug safety surveillance.
  • Manual review of clinical notes for ADRs is time-consuming.
  • Automated methods are needed to efficiently identify ADRs from free-text clinical notes, especially in non-English languages.

Purpose of the Study:

  • To design and evaluate ADRIN, a novel method for the automatic extraction of medication and adverse drug reaction information from clinical notes.
  • To improve the identification of ADRs in Dutch clinical text.

Main Methods:

  • Developed word embedding models using a large corpus of Dutch clinical notes (N=277,398).
  • Utilized vector representations from word embeddings and string matching for ADR and medication identification.
  • Evaluated the ADRIN prototype on manually labeled clinical notes (N=988), optimizing settings like search area and punctuation.

Main Results:

  • The ADRIN method achieved a highest accuracy of 0.84 for binary classification of ADR presence.
  • Optimizing the search area and including punctuation improved ADR identification performance.
  • Incorporating the Medical Dictionary for Regulatory Activities (MedDRA) did not enhance the pipeline's performance.

Conclusions:

  • The ADRIN method effectively identifies adverse drug reactions in Dutch clinical notes.
  • Word embedding models alone, without MedDRA, proved sufficient for high-accuracy ADR identification.
  • Implementing ADRIN can enhance ADR detection, leading to improved patient care and reduced healthcare costs.