Oeystein Kjoersvik
Papers
1
Total Citations
34
H-Index
1
About
Oeystein Kjoersvik is a leading voice at the intersection of artificial intelligence and pharmacovigilance, driving the pharmaceutical industry’s adoption of machine learning to enhance drug safety. His key research centers on intelligent automation for processing Individual Case Safety Reports (ICSRs), a critical but labor-intensive component of post-market surveillance. Kjoersvik’s most influential contribution is his landmark 2022 paper, “Industry Perspective on Artificial Intelligence/Machine Learning in Pharmacovigilance,” which has garnered 34 citations and serves as a definitive benchmark for the field. Drawing on TransCelerate surveys from 2019 to 2021, he documented a clear trend: member companies are rapidly expanding their use of AI solutions to automate ICSR workflows, from case intake to signal detection. This work not only quantifies the industry’s progress but also provides a practical roadmap for implementation, highlighting both successes and persistent challenges. By translating complex technical advances into actionable insights for regulators and pharmaceutical leaders, Kjoersvik has become a trusted authority on modernizing pharmacovigilance. His research empowers the global safety community to embrace AI responsibly, ultimately accelerating the detection of adverse events and improving patient outcomes.
Research Focus
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Top Papers
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