Pistoia Alliance – Virtualized Pharma in 2020<br />April 2011John P. McAlister<br />
Industry in Throes of Change<br /><ul><li>Industry business strategies revisited
Cost control is increasingly a decision driver
Strategy is in flux at large pharma players
Focus on sales and marketing or continue strong investment in R&D?
Network research activities with other pharmas and cross-license IP?
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CambridgeSoft -- Virtualized Pharma in 2020

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The Pistoia Alliance Conference in April 2011 included a series of 10-minute "lightning talks" from vendors about what they think pharma will look like in 2020. This presentation was delivered by John P. McAlister of CambridgeSoft.

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CambridgeSoft -- Virtualized Pharma in 2020

  1. 1. Pistoia Alliance – Virtualized Pharma in 2020<br />April 2011John P. McAlister<br />
  2. 2. Industry in Throes of Change<br /><ul><li>Industry business strategies revisited
  3. 3. Cost control is increasingly a decision driver
  4. 4. Strategy is in flux at large pharma players
  5. 5. Focus on sales and marketing or continue strong investment in R&D?
  6. 6. Network research activities with other pharmas and cross-license IP?
  7. 7. Invest in “centers of excellence” (internal or external) or traditional model?
  8. 8. Benefits of small, entrepreneurial research environment
  9. 9. Industry consolidation, reorganization
  10. 10. Industry players, customers & suppliers consolidate and divest
  11. 11. Global operations optimized – strategic diversification
  12. 12. Based on markets, costs, resources
  13. 13. Rapid Innovation (science and technology)
  14. 14. ‘Omics, diagnostics/patient segregation, new therapeutic strategies
  15. 15. Translational medicine reduced to practice</li></li></ul><li>Information Systems – Enabling Strategic Options<br /><ul><li>Capture and manage all aspects of research information from the enterprise?
  16. 16. Globally distributed systems will be the norm – likely cloud-based
  17. 17. Industry will require fine control of access to system and content
  18. 18. Traditional “discipline-focused” systems area insufficient
  19. 19. Link to medical systems to access outcomes information directly
  20. 20. New procedures will be required to protect patient information
  21. 21. Assume that each subject will have full genomic information available along with relevant proteome and metabolome
  22. 22. Capture post-market information to assess and fine-tune product
  23. 23. Incorporate analytical methods that include inference engines, hypothesis generation and analysis platforms
  24. 24. Models are too simplistic for the current range of diseases
  25. 25. Multidimensional parameter spaces demand novel methods for analysis and interpretation</li></li></ul><li>Research Information Systems<br />Replace paper-based workflows with detailed e-workflows across the full range of life science business areas<br />Apply decision support methods to support research<br />Market<br />Surveillance<br />Medical<br />Outcomes<br />Chemistry<br />Biology<br />‘Omic Info<br />Searchable DB<br />Strategic Decisions<br />
  26. 26. Information Systems – The Future<br /><ul><li>No single supplier will provide all information systems required by research enterprise
  27. 27. Specialty-based systems are already available across the disciplines
  28. 28. Consolidation of closely related suppliers is inevitable, generating powerful large players
  29. 29. Innovative small startups will quickly be targeted for acquisition
  30. 30. Systems implementation will be a major component of the enterprise
  31. 31. Cross-functional team expertise will be the gold-standard of the future
  32. 32. Standards-based APIs are essential
  33. 33. Collaborative relationships among major informatics suppliers will be essential for pharmaresearch and development information systems delivery</li></li></ul><li>

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