Application of Augmented Intelligence for Pharmacovigilance Case Seriousness Determination.

Journal: Drug safety
Published Date:

Abstract

INTRODUCTION: Identification of adverse events and determination of their seriousness ensures timely detection of potential patient safety concerns. Adverse event seriousness is a key factor in defining reporting timelines and is often performed manually by pharmacovigilance experts. The dramatic increase in the volume of safety reports necessitates exploration of scalable solutions that also meet reporting timeline requirements.

Authors

  • Ramani Routray
    IBM Watson Health, Cambridge, MA, USA. routrayr@us.ibm.com.
  • Niki Tetarenko
    Celgene Corporation, 86 Morris Avenue, Summit, NJ, 07901, USA.
  • Claire Abu-Assal
    IBM Watson Health, Cambridge, MA, USA.
  • Ruta Mockute
    Celgene Corporation, 86 Morris Avenue, Summit, NJ, 07901, USA. Rmockute@celgene.com.
  • Bruno Assuncao
    Celgene Corporation, 86 Morris Avenue, Summit, NJ, 07901, USA.
  • Hanqing Chen
    IBM Watson Health, Cambridge, MA, USA.
  • Shenghua Bao
    IBM Watson Health, Cambridge, MA, USA.
  • Karolina Danysz
    Celgene Corporation, Boudry, Switzerland.
  • Sameen Desai
    Celgene Corporation, 86 Morris Avenue, Summit, NJ, 07901, USA.
  • Salvatore Cicirello
    Celgene Corporation, Boudry, Switzerland.
  • Van Willis
    IBM Watson Health, Cambridge, MA, USA.
  • Sharon Hensley Alford
    IBM Watson Health, Cambridge, MA, USA.
  • Vivek Krishnamurthy
    IBM Watson Health, Cambridge, MA, USA.
  • Edward Mingle
    Celgene Corporation, 86 Morris Avenue, Summit, NJ, 07901, USA.