Join us for this webcast to learn how artificial intelligence, natural language processing, and machine learning are poised to change the way we do pharmacovigilance.
- Safety Case Processing:
Intake, processing, and assessments
- Safety Signal Management:
AE extraction from varied data sources, signal detection, and signal validation / assessment
Artificial intelligence allows computers to do what they do well, while allowing humans to focus on more important activities. One key area of safety that can benefit from this kind of automation is case processing. Although safety budgets have remained flat, safety caseloads are increasing year on year, so safety teams are looking for ways to process cases more quickly and cheaply through automation.
Another key area is signal detection. With the rapid growth of big data in life sciences and healthcare, safety teams are realizing that this new information could be valuable in detecting safety issues earlier, and algorithms can be used to mine these new data sources, including social media, clinical narratives, internet search logs, and product label information.