Harnessing next-generation informatics for personalizing medicine: a report from AMIA's 2014 Health Policy Invitational Meeting.

Wiley LK1, Tarczy-Hornoch P2, Denny JC1, Freimuth RR3, Overby CL4, Shah N5, Martin RD6, Sarkar IN7.

Author information

Abstract

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.

KEYWORDS:

health policy; learning health care system; medical informatics; precision medicine; translational bioinformatics

PMID:: 26911808
DOI:: 10.1093/jamia/ocv111

[PubMed - indexed for MEDLINE]

From Guideline Database

This database contains updated guidelines, policies and recommendations on genomic research and practice, as provided by professional organizations, federal advisory groups, expert panels and policy groups.