January 26-27, 2004 · Renaissance Washington, D.C.
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2004 Agenda > Pharmaceutical and Biotech CEO Summit

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  Sponsors: Booz Allen Hamilton, Goldman Sachs

Session A) FDA Regulatory Compliance Update
  • Election year 2004 - Major potential changes in regulatory compliance
  • FDA’s strides in speeding up drug approvals
  • Regulations in manufacturing, clinical and marketing and compliance
  • Medicare and Medicaid - Public purchaser demands and negotiating State and Federal contracts

Session B) Advances in Research and Development Productivity

  • Strategies to increase output productivity in research labs
  • Designing treatments targeting specific gene malfunctions or abnormalities that cause disease
  • Role of new technologies and genomics
  • Specific metrics to improve productivity

Frank Douglas, Executive Vice President for Drug Innovation and Approval, and Chief Scientific Officer, Aventis Pharmaceuticals

Session C) Advances in Research and Development Productivity

  • Analysis of changing market conditions for utilization and access to drugs
  • Building the case for the value of pharmaceuticals and determining whether insurers will pay
  • How consumerism will impact Medicare and Medicaid populations

Session D) Evolving Customer Relationships - Partnership Strategies with Health Plans and PBMs

  • Strategic and direct negotiations with health plans
  • Meeting new demands of consumers and employers
  • Consumer demands for portability of benefits
  • Integrate medical and pharmaceutical benefit

Barbara Hill, President, Express Scripts

Session E) Building Disease Management Programs to Extend Value and Cost-Effectiveness

  • Expanding role for pharmaceutical companies to provide cost-effective programs for employers
  • Leveraging technology to produce positive disease management outcomes
  • Offering value-added disease management products for PBMs and health plans

Session F) Genomics and the Commercialization of Bio-Pharmaceuticals

  • Moving the healthcare industry to a “predict and prevent” model
  • Future of personalized medicine and decision support
     
   
 
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