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First published April 24, 2008 as JAMIA PrePrint; doi:10.1197/jamia.M2718
Journal of the American Medical Informatics Association 2008;15(4):391-396
© 2008 American Medical Informatics Association

A more recent version of this article appeared on July 1, 2008
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Submitted on January 9, 2008
Accepted on April 10, 2008

Advancing Personalized Health Care Through Health Information Technology: An Update from the American Health Information Community's Personalized Health Care Workgroup

John Glaser PhD1*, Douglas E. Henley MD2, Gregory Downing DO, PhD3, Kristin M. Brinner PhD4, and Personalized Health Care Workgroup of the American Health Information Community

Affiliation of the authors: 1 Partners HealthCare, Boston, MA; 2 American Academy of Family Physicians, Leawood, KS; 3 Personalized Health Care Initiative, United States Department of Health and Human Services, Washington, DC ; 4 Personalized Health Care Workgroup, American Health Information Community, United States Department of Health and Human Services, Washington, DC

* To whom correspondence should be addressed.

The Personalized Health Care Workgroup of the American Health Information Community was formed to determine what is needed to promote standard reporting and incorporation of medical genetic/genomic tests and family health history data in electronic health records. The Workgroup has examined and clarified a range of issues related to this information, including interoperability standards and requirements for confidentiality, privacy, and security, in the course of developing recommendations to facilitate its capture, storage, transmission, and use in clinical decision support. The Workgroup is one of several appointed by the American Health Information Community to study high-priority issues related to the implementation of interoperable electronic health records in the United States. It is also a component of the U.S. Department of Health and Human Services' Personalized Health Care Initiative, which is designed to create a foundation upon which information technology that supports personalized, predictive, and pre-emptive health care can be built.






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