The Innovation Lab hopes to help facilitate, even in a small way, advances across the translational spectrum. That is, moving from fundamental understandings of how our bodies work to adapting that knowledge to concrete interventions that are effective in the broader community in effecting positive change.  The use of partnered methods (see "Partnered" tab for more) helps us do that - by fostering a culture of trust, transparency and knowledge sharing across the academic disciplines and institutions needed for "transdisciplinary" approaches. 

A recent report from the Institute of Medicine (Best care at lower cost: the path to continuously learning health care in America, 2012) highlighted the need to create a "learning health system".  A learning system is measurement-based with real-time access to data, and a process of continuous review and modification of processes. By exploring novel methods to capture relevant and informative data in real-time and methods to best understand how these data can inform our understanding of individualized outcomes, we can work towards creating a process for continuous integration of these advances in the design of our healthcare system.