Promit Roy

Trinity College Dublin

Papers

1

Total Citations

34

H-Index

1

About

Promit Roy is a leading voice at the intersection of artificial intelligence and pharmacovigilance, driving the modernization of drug safety monitoring. His key research focuses on the strategic implementation of intelligent automation—including machine learning and AI—to streamline adverse event reporting and regulatory compliance. Roy’s most cited work, the 2022 paper "Industry Perspective on Artificial Intelligence/Machine Learning in Pharmacovigilance," has garnered 34 citations and provides a critical longitudinal analysis of how pharmaceutical companies have scaled AI solutions from 2019 to 2021. This landmark study, conducted under the TransCelerate initiative, reveals a significant industry shift toward automating Individual Case Safety Report (ICSR) processing, demonstrating tangible improvements in efficiency and data quality. By synthesizing survey data from multiple member companies, Roy has established a benchmark for AI adoption in pharmacovigilance, influencing both regulatory thinking and operational practices. His contributions are particularly notable for bridging the gap between cutting-edge technology and the rigorous demands of patient safety, offering a pragmatic roadmap for an industry undergoing digital transformation. Roy’s work continues to shape how global pharmacovigilance systems leverage AI to protect public health.

Research Focus

Key Achievements

1
H-Index
1
Papers
34
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Industry Perspective on Artificial Intelligence/Machine Learning in Pharmacovigilance
34 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Trinity College Dublin

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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