Narrative Search Engine for Case Series Assessment Supported by Artificial Intelligence Query Suggestions.

Journal: Drug safety
Published Date:

Abstract

INTRODUCTION: Manual identification of case narratives with specific relevant information can be challenging when working with large numbers of adverse event reports (case series). The process can be supported with a search engine, but building search queries often remains a manual task. Suggesting terms to add to the search query could support assessors in the identification of case narratives within a case series.

Authors

  • Alem Zekarias
    Uppsala Monitoring Centre, Uppsala, Sweden. alem.zekarias@who-umc.org.
  • Eva-Lisa Meldau
    Uppsala Monitoring Centre, Uppsala, Sweden. Eva-Lisa.Meldau@who-umc.org.
  • Shachi Bista
    Uppsala Monitoring Centre, Uppsala, Sweden.
  • Joana Félix China
    Uppsala Monitoring Centre, Uppsala, Sweden.
  • Lovisa Sandberg
    Uppsala Monitoring Centre, Uppsala, Sweden.