21st Century Biomedicine
Actualizing 21st Century Biomedicine
August 2009
This article, by Dr. Ken Buetow, Ph.D., Associate Director for Bioinformatics and Information Technology, National Cancer Institute, describes a “rapid-learning health system,” connected via electronic tools and infrastructure through which massive amounts of data can be aggregated and disseminated, paving the way to a new generation of personalized medicine. Read the full article
.
The Case for Personalized Medicine
May 2009
The 2009 edition of The Case sheds light on the demonstrated benefits of personalized medicine and describes the pathway for its widespread adoption to improve healthcare. Read the full report
.
Department of Health and Human Services
Personalized Heath Care: Pioneers, Partnerships, Progress report
November 2008
This report describes how The Personalized Health Care Initiative will improve the safety, quality and effectiveness of healthcare for every patient in the U.S. by using genomics to enable medicine to be tailored to each person’s needs. Read the Biomedical Informatics Grid case study
.
The President’s Council of Advisors on Science and Technology (PCAST)
Report to the President on U.S. Preparations for 2009-H1N1 Influenza
August 7, 2009
This PCAST Report reviews the full range of response options for minimizing negative impacts from a fall 2009-H1N1 epidemic and provides an integrated set of recommendations about how to think about hard issues and key policy decisions regarding the epidemic. Read the full report
.
The President’s Council of Advisors on Science and Technology (PCAST)
Report for Personalized Medicine
September 2008
This PCAST Report lays the foundation for realizing important health care benefits from genomics-based molecular diagnostics, while providing a balanced assessment of the promise and current limitations of personalized medicine more broadly. Read the full report
.
Health Affairs
January 26, 2007
Lynn M. Etheredge discusses how private- and public-sector initiatives, using electronic health record (EHR) databases from millions of people, could rapidly advance the U.S. evidence base for clinical care. Read the full article (subscription required).