Knowledge management for efficient quantitative analyses during regulatory reviews. Issue 6 (November 2011)

• Record Type: Journal Article
• Authors: Krudys, Kevin; Li, Fang; Florian, Jeffry; Tornoe, Christoffer; Chen, Ying; Bhattaram, Atul; Jadhav, Pravin; Neal, Lauren; Wang, Yaning; Gobburu, Joga; Lee, Peter ID
• Is Part Of: Expert review of clinical pharmacology. Volume 4:Issue 6(2011)
• Page Start: 697
• Page End: 703
• Publication Date: 2011-11
• Subjects: automated analysis -- disease model -- knowledge management -- pharmacometrics -- QT correction; Clinical pharmacology -- Periodicals; 615.105
• DOI: 10.1586/ecp.11.56
• Languages: English
• ISSNs: 1751-2433

Abstract

Knowledge management comprises the strategies and methods employed to generate and leverage knowledge within an organization. This report outlines the activities within the Division of Pharmacometrics at the US FDA to effectively manage knowledge with the ultimate goal of improving drug development and advancing public health. The infrastructure required for pharmacometric knowledge management includes provisions for data standards, queryable databases, libraries of modeling tools, archiving of analysis results and reporting templates for effective communication. Two examples of knowledge management systems developed within the Division of Pharmacometrics are used to illustrate these principles. The benefits of sound knowledge management include increased productivity, allowing reviewers to focus on research questions spanning new drug applications, such as improved trial design and biomarker development. The future of knowledge management depends on the collaboration between the FDA and industry to implement data and model standards to enhance sharing and dissemination of knowledge.