Dieter Kempf

Papers

Total Citations

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About

Dieter Kempf is a leading figure in pharmacovigilance, with a research focus on the integration of artificial intelligence and machine learning into drug safety processes. His most influential work, the 2022 paper "Industry Perspective on Artificial Intelligence/Machine Learning in Pharmacovigilance," has garnered 34 citations and provides a critical industry-wide analysis of how pharmaceutical companies are adopting intelligent automation. Kempf’s major contribution lies in synthesizing survey data from 2019–2021 to track the evolution of AI/ML implementation in Individual Case Safety Report (ICSR) processing, revealing a significant uptick in both the number and depth of automated solutions deployed by member companies. This work has become a benchmark for understanding the practical challenges and progress in modernizing pharmacovigilance workflows. Beyond this paper, Kempf’s research continues to shape the dialogue around regulatory compliance and operational efficiency, making him a key voice for students and researchers interested in the intersection of data science and patient safety.