Harnessing next-generation informatics for personalizing medicine: A report from AMIA's 2014 health policy invitational meeting

Laura K. Wiley, Peter Tarczy-Hornoch, Joshua C. Denny, Robert Freimuth, Casey L. Overby, Nigam Shah, Ross D. Martin, Indra Neil Sarkar

Research output: Contribution to journalArticle

5 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)413-419
Number of pages7
JournalJournal of the American Medical Informatics Association
Volume23
Issue number2
DOIs
StatePublished - Mar 1 2016

Fingerprint

Precision Medicine
Informatics
Health Policy
Research
Medical Informatics
American Medical Association
Information Systems
Delivery of Health Care

Keywords

  • Health policy
  • Learning health care system
  • Medical informatics
  • Precision medicine
  • Translational bioinformatics

ASJC Scopus subject areas

  • Health Informatics

Cite this

Harnessing next-generation informatics for personalizing medicine : A report from AMIA's 2014 health policy invitational meeting. / Wiley, Laura K.; Tarczy-Hornoch, Peter; Denny, Joshua C.; Freimuth, Robert; Overby, Casey L.; Shah, Nigam; Martin, Ross D.; Sarkar, Indra Neil.

In: Journal of the American Medical Informatics Association, Vol. 23, No. 2, 01.03.2016, p. 413-419.

Research output: Contribution to journalArticle

Wiley, Laura K. ; Tarczy-Hornoch, Peter ; Denny, Joshua C. ; Freimuth, Robert ; Overby, Casey L. ; Shah, Nigam ; Martin, Ross D. ; Sarkar, Indra Neil. / Harnessing next-generation informatics for personalizing medicine : A report from AMIA's 2014 health policy invitational meeting. In: Journal of the American Medical Informatics Association. 2016 ; Vol. 23, No. 2. pp. 413-419.
@article{b63de7e987214673b2452f4bf107bbf3,
title = "Harnessing next-generation informatics for personalizing medicine: A report from AMIA's 2014 health policy invitational meeting",
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",
author = "Wiley, {Laura K.} and Peter Tarczy-Hornoch and Denny, {Joshua C.} and Robert Freimuth and Overby, {Casey L.} and Nigam Shah and Martin, {Ross D.} and Sarkar, {Indra Neil}",
year = "2016",
month = "3",
day = "1",
doi = "10.1093/jamia/ocv111",
language = "English (US)",
volume = "23",
pages = "413--419",
journal = "Journal of the American Medical Informatics Association : JAMIA",
issn = "1067-5027",
publisher = "Oxford University Press",
number = "2",

}

TY - JOUR

T1 - Harnessing next-generation informatics for personalizing medicine

T2 - A report from AMIA's 2014 health policy invitational meeting

AU - Wiley, Laura K.

AU - Tarczy-Hornoch, Peter

AU - Denny, Joshua C.

AU - Freimuth, Robert

AU - Overby, Casey L.

AU - Shah, Nigam

AU - Martin, Ross D.

AU - Sarkar, Indra Neil

PY - 2016/3/1

Y1 - 2016/3/1

N2 - 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.

AB - 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.

KW - Health policy

KW - Learning health care system

KW - Medical informatics

KW - Precision medicine

KW - Translational bioinformatics

UR - http://www.scopus.com/inward/record.url?scp=84963769662&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84963769662&partnerID=8YFLogxK

U2 - 10.1093/jamia/ocv111

DO - 10.1093/jamia/ocv111

M3 - Article

C2 - 26911808

AN - SCOPUS:84963769662

VL - 23

SP - 413

EP - 419

JO - Journal of the American Medical Informatics Association : JAMIA

JF - Journal of the American Medical Informatics Association : JAMIA

SN - 1067-5027

IS - 2

ER -