Raymond Kassekert
Papers
2
Total Citations
38
H-Index
2
About
Raymond Kassekert is a leading figure in the application of artificial intelligence and machine learning to pharmacovigilance and real-world evidence (RWE) generation. His work centers on transforming drug safety monitoring through intelligent automation, particularly in the processing of Individual Case Safety Reports (ICSRs). Kassekert’s most influential contribution, the 2022 paper “Industry Perspective on Artificial Intelligence/Machine Learning in Pharmacovigilance,” has garnered 34 citations and provides a critical industry-wide survey of how major pharmaceutical companies are adopting automation to enhance safety data collection and analysis. This work, conducted under the TransCelerate initiative, documents the rapid expansion of AI tools from 2019 to 2021, establishing a benchmark for the field. Additionally, his 2020 paper on “Automation in Routine Use for Data Collection and Processing for Scalable Faster RWE Generation” (4 citations) demonstrates practical applications of these technologies to accelerate evidence generation. Kassekert’s research is pivotal for researchers and students interested in the intersection of AI, regulatory science, and pharmacovigilance, offering a roadmap for how automation can improve patient safety and streamline drug development processes.
Research Focus
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Top Papers
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