As adverse event caseloads increase, key pharmacovigilance stakeholders are under pressure to manage quality, improve compliance and reduce processing times, all while maintaining cost controls.
Fortunately, cognitive computing and machine learning can address these challenges by automating and streamlining case processing activities, eliminating repetitive manual tasks and achieving long-term efficiency gains.
This webinar will:
1. Discuss how automation specifically addresses pharmacovigilance-related challenges.
2. Recommend specific requirements and courses of action to adopt automation within your organization.
3. Give real-world examples of automation use cases.
4. Review the impact of automation on cases regarding quality and time.
During this webinar we will provide a practical demonstration of touchless processing of a complete case workflow. You will also see the use of automation in case intake, duplicate check and data entry along with automated coding, follow up queries, auto translation and auto-narrative generation.