Intelligent automation has quickly proved its value in the pharmacovigilance and clinical research space. Software leveraging artificial intelligence and machine learning have delivered incredible breakthroughs in the pharma space, including dramatically shortening time to marketing using robotic process automation (RPA) and delivering safer products by using AI enabled analytics for adverse event signal detection. It’s clear that to be a top-tier drug safety operation AI enabled software is a must.
Hosted by President of Drug and Device Vigilance Consulting, Juergen Schmider, this video takes you through:
1) A complete overview of today’s required pv activities
2) Shows how to determine which are suitable for automation
3) Prioritization Approach - How to determine which activities to automate first
4) Proven strategies to implement machine learning in production
5) Considerations for training data for machine learning algorithms
#drugsafety #artificialintelligence #ArisGlobal #lifesciences