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Rapid Learning For Precision Medicine: A Big Data To Knowledge (BD2K) Initiative
Posted By Lynn Etheredge On February 21, 2013 @ 12:24 pm In All Categories,Comparative Effectiveness,Health IT,Innovation,Policy,Public Health,Research,Science and Health,Technology | No Comments
The National Research Council’s Precision Medicine report  found that it is imperative to create a new scientific base for biomedical research, clinical care, and public health that accurately reflects the genetic variations in diseases and in individual responses to therapies.
This proposal calls for using the nation’s rapidly expanding capabilities for computerized biomedical research to accomplish this goal as quickly as possible. Research databases and analyses for most diseases would be completed over the next three years (by the end of 2015).
The US-led Human Genome Project was finished ten years ago (2003). In the past several years, key elements for moving forward on a Precision Medicine-type initiative have been coming together.
With such start-up capabilities in place, the US can now launch a patient-centered initiative for personalized medical care to benefit most of our population. As envisioned in the Precision Medicine report, the short-term and future results of this new knowledge network would revolutionize biomedical research, clinical care and public health.
Here’s one way this might be done.
The Department of Health and Human Services (NIH) could lead the initiative. This BD2K (Big Data To Knowledge) strategy would capitalize on national research laboratory models (the Department of Energy’s physics research system) and government-directed research initiatives (like the Department of Defense-Defense Advanced Research Projects Agency (DARPA) and the Human Genome Research Project), rather than relying on the traditional NIH-RO1 investigator-initiated mechanisms.
While existing databases have good coverage for adult medicine, it might be necessary to quickly augment biobank resources for pediatrics, particularly for special-needs children often found in the Medicaid program. NIH might also need to give special attention to collecting more EHR registry and genetics data for relatively rare diseases, for minorities, and for co-occurring conditions in high-needs populations.
A “precision medicine” initiative is imperative to advance biomedical research, clinical care, and public health. This proposal would use leadership in the Human Genome Project and new national capacities for rapid learning to make dramatic progress over the next three years. The resulting knowledge and infrastructure would expand America’s leadership in biomedical and computing sciences.
Article printed from Health Affairs Blog: http://healthaffairs.org/blog
URL to article: http://healthaffairs.org/blog/2013/02/21/rapid-learning-for-precision-medicine-a-big-data-to-knowledge-bd2k-initiative/
URLs in this post:
 Precision Medicine report: http://www.nap.edu/catalog.php?record_id=13284
 Million Veterans biobank: http://healthaffairs.org/blog/2012/11/19/the-million-veteran-program-building-vas-mega-database-for-genomic-medicine/
 Cancer: http://healthaffairs.org/blog/2010/06/29/rapid-learning-and-cancer-care-time-to-move-forward/
 rapid learning health system: http://healthaffairs.org/blog/author/kupersmith/