Last year Critical Path Institute (C-Path) and Clinical Data Interchange Standards Consortium (CDISC) launched a landmark joint project to develop a successful Alzheimer’s Disease (AD) data standard and research database. Data from eleven AD clinical trials from seven of C-Path’s Coalition Against Major Diseases (CAMD) member organizations (who are also CDISC members), was converted into the CDISC SDTM standard. During the process, new formats were added to SDTM to create a resulting new therapeutic area specific standards package, the CDISC AD standard. The data were then ready to be aggregated, and the result was a database incorporating detailed data from over 4,100 individuals afflicted with AD, a groundbreaking achievement that will assist researchers in developing safer and more effective treatments for those suffering with AD.
The collaboration between CDISC, C-Path, government agencies, academia, patient groups and the AD clinical community in developing the CDISC AD standard is a valuable model of how a successful consortium can support faster and safer drug development. In much the same way that CDISC has collaborated with C-Path to develop Alzheimer’s data standards, CDISC and the Innovative Medicines Initiative (IMI) have recently signed a Memorandum of Understanding (MOU), agreeing to collaborate for the shared purpose of accelerating the development of new therapies for patients worldwide.
IMI, the largest public-private partnership in Europe, supports further innovation in healthcare through the formulation of partnerships between industrial and academic experts to aid in the creation of a more cooperative environment for R&D, encouraging the development of safer and more effective drugs for patients. IMI seeks to address certain inadequacies in R&D causing delay in the drug development pipeline through four research priorities: 1) predicting safety, 2) predicting efficacy, 3) knowledge management and 4) education and training. With knowledge management in particular, IMI seeks to more effectively utilize data to determine safety and success.