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Session 3: Part 1
Session Chair(s)
Peter Brodbin
Director of Medical Information Effectiveness, Pfizer Ltd, United Kingdom
Session 3
Learning Objective : Managing the detection of Adverse Events (AEs) is an imperative in Medical Information Enquiry (MIE). To increase compliance triaging of AEs in MIEs, and to create process and resource efficiencies, we applied Artificial Intelligence (AI) methods to assist in detecting possible unreported AEs in a retrospective MIE database.
Speaker(s)
Jürgen Bentz, MD, PHD, MSC
Global Head of Medical Information, UCB, Belgium
Use of Natural Language Processing and Machine Learning to detect Adverse Events in Medical Information Enquiries
Jim Box, MBA, MS
Principal Data Scientist, SAS, United States
Human Bias in Machine Learning: How Well Do You Really Know Your Model?
Petra Schultz, PHARMD
Associate Chief Health Officer , IBM Watson Health, United States
Evolving Technologies: What to Expect for Artificial Intelligence in Healthcare and Curated Medical Literature
Dolly Randhawa, MPHARM
Global Content Manager, Pfizer Limited, United Kingdom
Global Content Management Team - Successes and Challenges
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