Science and Technology (PCAST) in its recent report on the use of health information technology to improve health care (PCAST, 2010).

The digital revolution will generate enormous amounts of useful personal data including, for example, imaging data, longitudinal data, and social network data, existing together in a dynamic “network of networks,” Hood concluded. There will have to be ways to integrate all of these data into predictive models and actionable opportunities, he said.

REFERENCES

Hood, L., and M. Flores. 2012. A personal view on systems medicine and the emergence of proactive P4 medicine: Predictive, preventive, personalized and participatory. New Biotechnology March 18. [Epub ahead of print].

Hwang, D., I. Y. Lee, H. Yoo, N. Gehlenborg, J. H. Cho, B. Petritis, D. Baxter, R. Pitstick, R. Young, D. Spicer, N. D. Price, J. G. Hohmann, S. J. Dearmond, G. A. Carlson, and L. E. Hood. 2009. A systems approach to prion disease. Molecular Systems Biology 5:252.

PCAST (President’s Council of Advisors on Science and Technology). 2010. Report to the President: Realizing the full potential of health information technology to improve healthcare for all Americans: The path forward. http://www.whitehouse.gov/sites/default/files/microsites/ostp/pcast-health-it-report.pdf (accessed July 10, 2012).

Roach, J. C., G. Glusman, A. F. Smit, C. D. Huff, R. Hubley, P. T. Shannon, L. Rowen, K. P. Pant, N. Goodman, M. Bamshad, J. Shendure, R. Drmanac, L. B. Jorde, L. Hood, and D. J. Galas. 2010. Analysis of genetic inheritance in a family quartet by whole-genome sequencing. Science 328(5978):636-639.



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