Managing Signals in the Modern Pharmacovigilance Landscape
Recent research has emboldened the industry as it moves from traditional to hybrid studies with the promise of greater patient participation and patient access – despite this risk to overall study quality data was cited as the number one concern with decentralized trials. How can these risks be mitigated against? Live: Wednesday, Dec. 11, 2019 at 11am EST | 8am PST | 4pm GMT | 5pm CET On demand available after airing until Dec. 11, 2020. Register free
- User experience: making signals understandable and actionable for signal evaluators
- Signal documentation: traceability of decisions and actions in a regulatory inspection
- Lifecycle signal management: starting signaling activities during clinical trials and transitioning to post-marketing surveillance
- Signal detection methods: different approaches for different data sets
- Data mining algorithms: reducing the number of false positives and thus work for the signal evaluation tea
- Multimodal signal detection: aggregating signal statistics across multiple big data sets
- Neural signal detection: using artificial intelligence and deep learning to find new risks
- Predictive signal detection: cutting-edge research into future methodologies
- Best Practices in Signal Management
- Insure compliance and efficiency
- Understand the true power of AI, Predictive Analytics and Data mining
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