1. Executive Summary
2. Introduction
3. Knowledge Management to
Enable the Emerging R&D Model
- Forces driving change
- The future R&D organization
- Components of a knowledge management solution
- Accenture's proprietary model
4. Measuring Return on Knowledge
- The concept of knowledge management
- Aligning knowledge communities
- Implementing knowledge management
- Post-implementation lessons and considerations
5. Design and Implementation of Knowledge Management Systems
- Organizing knowledge groups
- Enabling knowledge communities
- Components of knowledge management systems
- Research applications
6. Outcomes-Based Knowledge Management (KM)
- Evolution of the KM concept
- Creating a business context
- Components of a clinical trial KM solution
7. Knowledge Creation to Enhance Competitiveness of R&D
- Knowledge that results in a competitive advantage
- Strategies, tools and technologies
- Case studies of knowledge creation
8. Leveraging Technology to Create Knowledge Across the Enterprise
- Current practice of knowledge management in big pharma
- IT strategies and tools used by big pharma
- Case studies of successful knowledge management initiatives
9. IT Systems to Integrate Preclinical Evaluations into Discovery
- Sources and relationship of data
- Tools and technologies for information management
- Managing compounds during drug discovery
10. eBusiness Technologies and Pharmaceutical R&D
- Current IT systems to manage pharmaceutical R&D
- Software solutions for integrating legacy systems Features of a successful knowledge management solution
11. Integrated IT Systems for Global Research
- Challenges facing research IT organizations
- Key strategies and practices of IT groups in pharmaceutical R&D
- The use of IT to coordinate global research
- Lessons learned from other industries
12. Modeling as a Tool for Knowledge
Creation and Sharing
- The role of modeling in tactical and strategic decisions
- Framework for modeling the R&D process
- The use of modeling to understand the behavior of R&D
13. From Disseminating Data to Knowledge Management
- Lilly's experience in knowledge management initiatives
- Creating tools and techniques to generate knowledge
- Using knowledge management rating tools to assess progress
14. Better Decision-Making Through Data-Mining and Visualization
- Systems for data storage, mining and analysis
- Building predictive models for improved R&D
- Data-mining and visualization in drug discovery and clinical trials
15. Communities of Practice to Create and Share Knowledge
- Rationale for creating communities of practice
- Selecting and implementing practice communities in R&D
- Lessons learned
16. Implementation of a Global Expertise Locator
- The concept of expertise locators
- Implications of company-specific approaches
- Lessons learned from pilot studies
17. The Role of KM in Library Design
- Incorporating historical knowledge into drug library design
- Computational modeling of drug candidates
- Virtual screening of virtual libraries
18. Informative Library Design in Drug Discovery
- Rationale for improving library design
- Computational techniques to improve active site modeling
- Modeling library design for library enrichment
19. Increasing Efficiency of Lead Identification and Optimization
- Current practices in lead identification and optimization (LI/LO)
- Integrating the elements of LI/LO for knowledge creation
- Techniques for improving efficiency ofLI/LO
20. Improving Decision-Making During Drug Discovery
- Factors driving change in drug discovery
- Layering techniques for managing knowledge systems
- Meta approaches to utilize data and information
- Data-mining tools to create knowledge
21. Knowledge Management Solutions for Data-Rich Applications
- Managing combinatorial libraries
- Computing physical property distributions
- Data compression methods for performance optimization
- Managing high-throughput screening data
