Detecting adverse drug events

accuracy and generalizability

Scott R. Walter*, Blanca Gallego

*Corresponding author for this work

Research output: Contribution to journalArticle


The incidence and impacts of adverse drug events (ADE) have been extensively studied, but there is an emerging focus on real-time detection systems. These can play an important role, along with systems pharmacology and population-level epidemiology, in a multipronged approach to prevent ADEs and mitigate their harm. Tailoring ADE detection systems to a particular health care setting or ADE type can improve predictive accuracy, but the added complexity reduces its wider applicability. As this approach becomes increasingly used we can imagine detection algorithms of greater complexity but also a set of algorithms encompassing the full range of health care settings and ADE types, thus creating a system that is both accurate and widely applicable.

Original languageEnglish
Pages (from-to)795-796
Number of pages2
JournalTherapeutic Innovation and Regulatory Science
Issue number6
Publication statusPublished - 1 Nov 2019


  • adverse drug events
  • detection systems
  • trigger tools

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