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Bethesda North Marriott Hotel and Conference Center

Feb 06, 2023 1:00 PM - Feb 09, 2023 12:35 AM

5701 Marinelli Road, , North Bethesda, MD 20852 , USA

Global Pharmacovigilance and Risk Management Strategies Conference

Stay current with the latest safety regulations from global health authorities and regulatory experts!

Session 7: Optimizing Literature Surveillance: A Critical Element in the Pharmacovigilance Arsenal

Session Chair(s)

Annette S. Williams, MBA, RPh

Annette S. Williams, MBA, RPh

Vice President, Pharmacovigilance

IQVIA, United States

Literature is one of the largest sources of adverse event reporting and has historically been underserved by technology. In this session, we will provide a brief review of the literature reporting requirements (both global and local). Discuss the challenges associated with managing local literature complexities. Outline optimization initiatives underpinned by technology, including AI, to advance Literature Surveillance. The EMA’s Medical Literature Monitoring (MLM) program will be highlighted to showcase the value it offers MAH’s and it is evolving. Several case studies will be showcased to highlight how organizations have increase search accuracy, reduced duplicates, minimized administrative burden, and lowered costs.

Learning Objective :
  • Outline the latest requirements for managing literature surveillance both globally and locally
  • Detail multiple strategies for streamlining and optimizing local literature
  • Discuss the roadblocks, current operational realities, and future innovation opportunities for literature surveillance
  • Identify the requirements, benefits, and upcoming enhancements to the Medical Literature Monitoring (MLM) Program

Speaker(s)

Srikanth  S, MPharm

Speaker

Srikanth S, MPharm

IQVIA, India

Associate Director, Head - SARA Literature center, Life Cycle Safety

Tom  Paternoster-Howe, MSc

Speaker

Tom Paternoster-Howe, MSc

European Medicines Agency, Netherlands

Scientific Administrator, Data Analytics & Methods, Task Force, Healthcare Data

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