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PaTH: towards a learning health system in the Mid-Atlantic region

Authors :
William Shirey
Sonye K. Danoff
Bari Dzomba
Mitch Parker
Mike Jacobs
Lisa Khorey
Mary Mueller
Chad Pettengill
Anne E.F. Dimmock
Harold P Lehmann
G. Daniel Martich
Diana Gumas
Charles D. Borromeo
Mark G. Weiner
Thomas Abendroth
Richard Rauscher
Jeremy Kahn
Joseph Y. Cheung
Anne Boland Docimo
Gerald Naccarelli
Arthur Berg
Art Feldman
Nae-Yuh Wang
Sally C. Morton
Michael J. Becich
Anuradha Paranjape
Jeanne M. Clark
Sandeep Jain
Erdlen Frank
Sam Meiselman
Wishwa N. Kapoor
Rachel Hess
Rebecca Bascom
Jeremy U. Espino
Maribel Valentin
Daniel E. Ford
Jennifer L. Kraschnewski
Kathleen M. McTigue
Harold Paz
Daniel A. Notterman
Waqas Amin
Wenke Hwang
Francis Cordova
Robert Oberteuffer
Christopher N. Sciamanna
Theresa A Heinrich
Kruti Mohan
Aaron A. Sorensen
Kathleen O. Lindell
Chris Ryan
Kevin F. Gibson
Cynthia H. Chuang
Saman Nazarian
Fu-Chiang Tsui
Source :
Journal of the American Medical Informatics Association : JAMIA
Publication Year :
2014
Publisher :
Oxford University Press (OUP), 2014.

Abstract

The PaTH (University of Pittsburgh/UPMC, Penn State College of Medicine, Temple University Hospital, and Johns Hopkins University) clinical data research network initiative is a collaborative effort among four academic health centers in the Mid-Atlantic region. PaTH will provide robust infrastructure to conduct research, explore clinical outcomes, link with biospecimens, and improve methods for sharing and analyzing data across our diverse populations. Our disease foci are idiopathic pulmonary fibrosis, atrial fibrillation, and obesity. The four network sites have extensive experience in using data from electronic health records and have devised robust methods for patient outreach and recruitment. The network will adopt best practices by using the open-source data-sharing tool, Informatics for Integrating Biology and the Bedside (i2b2), at each site to enhance data sharing using centrally defined common data elements, and will use the Shared Health Research Information Network (SHRINE) for distributed queries across the network.

Details

ISSN :
1527974X and 10675027
Volume :
21
Database :
OpenAIRE
Journal :
Journal of the American Medical Informatics Association
Accession number :
edsair.doi.dedup.....4538a02d32e4187067cd462f3a3d2a8c
Full Text :
https://doi.org/10.1136/amiajnl-2014-002759