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Will Cloud Computing Work for the Life Sciences Industry?: Cloud computing refers to the idea of delivering information management computing power from centralized servers that share resources like storage, processing and bandwidth more efficiently by a cost factor of at least 5-10x. From a business perspective, cloud computing delivers services for its computing needs in a simplified and economical way, providing unbounded scale and quality of service to foster rapid innovation, change and decision making. This is not a new paradigm in the computing world but a new pathway to making information management resources a commodity. With BioPharmaceutical development business models changing rapidly, can Cloud computing work for this industry to provide the dynamic computing environment it promises to deliver?

 

 

Table of Contents:
  • What is Cloud computing?
  • In-house vs. Cloud computing paradigm comparisons
  • Opportunities to start seeding the Cloud within Life Sciences
  • Regulatory and validation requirements
  • Benefits and Risks of using Cloud computing
  • Cloud computing considerations

 

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Study-centric Information Management: Research cites improving the utilization, sharing, and analysis of data across disconnected operations as a top business priority for many businesses in the regulated BioPharma industry. With rapidly changing drug development landscape, there is a shift to partnerships and outsource strategies by sponsor companies. These initiatives drive new challenges in study trial information management where data between process chains extends not only over operational disciplines and geographic boundaries but also between partner organizations.
 
Best Practices for an Open Information Management can mitigate legal, regulatory and other business risk associated with electronic transactions and at the same time protect intellectual knowledge generated from study trails.
 
Table of Contents:
  • Introduction  
  • Need for study-centric information  
  • Challenges & Opportunities  
  • Integrated approach to IM framework  
  • Implementing open IM Framework 
  • Advantages      
  • Conclusion     

Click on the title page to the right to download the document.