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Session 7: Artificial Intelligence and Natural Language Processing: Offering True Benefits to PV Organizations Today
Session Chair(s)
Mariette Boerstoel-Streefland, MD, MBA, MS
Senior Vice President, Patient Safety Officer , Bristol Myers Squibb, United States
Lisa Melanie Harinstein, PHARMD
Team Leader, Division of Pharmacovigilance, FDA, FDA, United States
Annette S. Williams, MBA, RPH
Vice President, Pharmacovigilance, IQVIA, United States
Life science companies are actively pursuing automated solutions to address the challenge of managing increasing volumes of safety-related data from a myriad of sources, as well as to help identify, extract and interpret data for improved pharmacovigilance (PV). Assessing technology tools – such as robotic process automation (RPA), and natural language processing (NLP) has become more commonplace. This session will focus on specific use cases across the pharmacovigilance continuum. It will showcase how AI/NLP is being applied to increase robustness and efficiency for AE case intake from various territories across the globe. We will explore how NLP is now being employed to identify patients at risk in clinical trials as well as develop safety-related intelligence landscapes from scientific literature, internal preclinical and clinical safety reports that can be used to contextualize potential safety signals, as well as how regulatory agencies are utilizing the technology for pharmacovigilance.
Learning Objective : - Define AI, RPA, and NLP and its application
- Outline how pharma organizations are using NLP for safety applications; including limitations and validation
- What is the current situation; where are various stakeholders in their use of AI
- Understand effective utilization of AI and NLP for intake of AE information from various territories worldwide
- List how the FDA is applying AI to pharmacovigilance strategies.
Speaker(s)
Mariette Boerstoel-Streefland, MD, MBA, MS
Senior Vice President, Patient Safety Officer , Bristol Myers Squibb, United States
Global Intake Using NLP, Translation, AI in an Ever-changing PV Organization part 1
François Audibert, MSC
Vice President – U.S. Operations, Vitrana, United States
Global Intake Using NLP, Translation, AI in an Ever-Changing PV Organization part 2
Jane Reed, PHD
Director, Life Science, Linguamatics, United Kingdom
New Uses of Natural Language Processing (NLP) in Product Safety
Oanh Dang, PHARMD
Pharmacotherapy Specialist, Regulatory Science Staff, OSE, CDER, FDA, United States
Leveraging Applied AI Within Pharmacovigilance
Allan Fong, MS
Research Scientist and Data Scientist, Medstar Health National Center For Human Factors In Healthcare, United States
Patient Safety Monitoring using NLP and Machine Learning: A Healthcare Perspective
Aaron Zachary Hettinger, MD, MS
Director of Cognitive Informatics, Medstar Health National Center For Human Factors In Healthcare, United States
Speaker
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