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Innovation in Pharmacovigilance: Use of Artificial Intelligence in Adverse Event Case Processing
Author(s) -
Schmider Juergen,
Kumar Krishan,
LaForest Chantal,
Swankoski Brian,
Naim Karen,
Caubel Patrick M.
Publication year - 2019
Publication title -
clinical pharmacology and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.941
H-Index - 188
eISSN - 1532-6535
pISSN - 0009-9236
DOI - 10.1002/cpt.1255
Subject(s) - pharmacovigilance , adverse effect , event (particle physics) , complex event processing , adverse event reporting system , artificial intelligence , computer science , medicine , pharmacology , process (computing) , operating system , physics , quantum mechanics
Automation of pharmaceutical safety case processing represents a significant opportunity to affect the strongest cost driver for a company's overall pharmacovigilance budget. A pilot was undertaken to test the feasibility of using artificial intelligence and robotic process automation to automate processing of adverse event reports. The pilot paradigm was used to simultaneously test proposed solutions of three commercial vendors. The result confirmed the feasibility of using artificial intelligence–based technology to support extraction from adverse event source documents and evaluation of case validity. In addition, the pilot demonstrated viability of the use of safety database data fields as a surrogate for otherwise time‐consuming and costly direct annotation of source documents. Finally, the evaluation and scoring method used in the pilot was able to differentiate vendor capabilities and identify the best candidate to move into the discovery phase.