Claudia Schaffer
Papers
1
Total Citations
34
H-Index
1
About
Claudia Schaffer is a leading voice in the application of artificial intelligence and machine learning to pharmacovigilance, a field critical for ensuring drug safety. Her most cited work, the 2022 "Industry Perspective on Artificial Intelligence/Machine Learning in Pharmacovigilance," provides a landmark analysis of how pharmaceutical companies are integrating intelligent automation into safety processes. Drawing on TransCelerate member surveys from 2019 to 2021, Schaffer’s research reveals a significant industry shift: companies have dramatically expanded the use of AI/ML to streamline the processing of Individual Case Safety Reports (ICSRs), improving efficiency without compromising patient safety. This work, with 34 citations, serves as a crucial benchmark for regulators and industry leaders navigating digital transformation. Beyond this flagship paper, Schaffer’s contributions help define best practices for deploying automation in pharmacovigilance, balancing innovation with rigorous oversight. Her insights are invaluable for students and researchers exploring how AI can enhance public health monitoring, making her a key figure in modern drug safety.
Research Focus
Key Achievements
Top Papers
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