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Harnessing next-generation informatics for personalizing medicine: a report from AMIA’s 2014 Health Policy Invitational Meeting
Author(s) -
Laura K. Wiley,
Peter TarczyHornoch,
Joshua C. Denny,
Robert R. Freimuth,
Casey Lynnette Overby,
Nigam H. Shah,
Ross D. Martin,
Indra Neil Sarkar
Publication year - 2016
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1093/jamia/ocv111
Subject(s) - health informatics , personalization , health care , precision medicine , informatics , data science , big data , personalized medicine , health policy , health administration informatics , computer science , medicine , political science , world wide web , data mining , bioinformatics , pathology , biology , law
The American Medical Informatics Association convened the 2014 Health Policy Invitational Meeting to develop recommendations for updates to current policies and to establish an informatics research agenda for personalizing medicine. In particular, the meeting focused on discussing informatics challenges related to personalizing care through the integration of genomic or other high-volume biomolecular data with data from clinical systems to make health care more efficient and effective. This report summarizes the findings (n = 6) and recommendations (n = 15) from the policy meeting, which were clustered into 3 broad areas: (1) policies governing data access for research and personalization of care; (2) policy and research needs for evolving data interpretation and knowledge representation; and (3) policy and research needs to ensure data integrity and preservation. The meeting outcome underscored the need to address a number of important policy and technical considerations in order to realize the potential of personalized or precision medicine in actual clinical contexts.

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