ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

2023 - Best Practices in Pharmacovigilance: Unleash the Power of Artificial Intelligence

Date2023-07-19

Deadline2023-07-19

VenueWebinar, USA - United States USA - United States

KeywordsArtificial Intelligence; AI; Patient Data

Websitehttps://xtalks.com/webinars/best-practic...

Topics/Call fo Papers

As case volumes rise exponentially while budgets remain static, pharmacovigilance teams are under greater pressure to maximize their efficiency and demonstrate value. Calls to operate lean and invest in value-adding activities while managing sprawling, global product portfolios require safety teams to embrace new, innovative ways of working to stay ahead.
One major development reshaping the life sciences industry is advancements in automation, including artificial intelligence (AI) and machine learning (ML). Manually processing structured and unstructured data is often tedious and error-prone and requires multiple stages of reviews and quality checks. By automating the extraction and processing of cases, AI/ML can solve the complexity of patient safety data and significantly increase the efficiency and accuracy of case processing in pharmacovigilance. For safety teams that can harness the power of touchless case processing, there is unmatched potential for next-level efficiency gains without manual intervention required.
Join this webinar to learn how pharmacovigilance teams are leveraging enhanced automation to speed up case intake in pharmacovigilance, while providing enhanced consistency and reliability. Gain insights on the procedures utilized by leading teams to source structured and unstructured data, build intelligent AI/ML models and train, validate, and test those models to ensure the integrity of the system to produce reliable outcomes. Learn what touchless case processing is and how it can be utilized by safety teams to drive better outcomes and pave the way for the future of patient safety.

Last modified: 2023-06-22 01:33:02