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CBI
The Leader in Conferences for the Pharmaceutical Industry

Late Phase Research/Real-World Data

Two Critical Topics. One Unique Platform!

March 6-8, 2013
  • Amsterdam, The Netherlands

Available for $495.00

For more than a decade, industry leaders have trusted the Center for Business Intelligence to provide the latest updates and strategies for conducting Late Phase and Post-Approval Studies.  Recently, the metrics by which payers, regulators and other stakeholders assess the value and safety of pharmaceutical products has shifted, placing a heightened emphasis on real-world evidence.  Under the increasing pressure to provide effectiveness data, pharmaceutical companies are tasked with the complex challenge of collecting, managing and analysing real-world evidence. Recognising the importance of cross-functional collaboration toward this goal, the Center for Business Intelligence is bringing together its Late Phase Research Summit and Real-World Data Summit into one unique forum.

 


 

9th Annual Late Phase Research

Design Post-Approval Studies to Meet Critical Scientific, Safety, Risk Management, Regulatory and Commercial Needs

  • Incorporate epidemiological methods into post-marketing study design to support safety assessments
  • Bolster patient safety through compliant adoption of the new pharmacovigilance legislation
  • Strategies for developing an effective and comprehensive risk management plan
  • Utilise real-world research in a post-market setting to maximise the product value proposition
  • Ensure information transparency for early safety detection of late phase studies

 


 

Real World Data

Utilise Observational, CER and Secondary Data to Support Product Value, Safety and Market Access

  • Examine the key outcomes and stakeholder needs driving the expansion of real-world studies in drug development
  • Big Data - industry partnerships and sourcing strategies for maximising patient health benefits with secondary data
  • Understand the escalating impact of real-world evidence on coverage and reimbursement decisions
  • Utilise electronic health record (EHR) data to support post-authorisation activities
  • Observational and comparative effectiveness study design tactics