PaTH: Towards a learning health system in the Mid-Atlantic region
Genre
Journal ArticleDate
2014-01-01Author
Amin, WRich Tsui, F
Borromeo, C
Chuang, CH
Espino, JU
Ford, D
Hwang, W
Kapoor, W
Lehmann, H
Martich, GD
Morton, S
Paranjape, A
Shirey, W
Sorensen, A
Becich, MJ
Hess, R
Docimo, AB
Gibson, K
Heinrich, TA
Jain, S
Kahn, J
Khorey, L
Lindell, K
McTigue, K
Mueller, M
Ryan, C
Clark, J
Danoff, S
Gumas, D
Meiselman, S
Nazarian, S
Oberteuffer, R
Wang, NY
Abendroth, T
Bascom, R
Berg, A
Dimmock, A
Dzomba, B
Kraschnewski, J
Naccarelli, G
Notterman, D
Paz, H
Rauscher, R
Sciamanna, C
Cheung, J
Cordova, F
Feldman, A
Frank, E
Jacobs, M
Mohan, K
Parker, M
Pettengill, C
Valentin, M
Weiner, M
Subject
I2B2clinical data research network (CDRN)
distributed cohort query
electronic health records (EHRs)
patient reported outcomes (PROs)
patient-centered outcomes research (PCORI)
Computer Communication Networks
Electronic Health Records
Humans
Information Dissemination
Medical Record Linkage
Mid-Atlantic Region
Outcome Assessment, Health Care
Patient-Centered Care
Permanent link to this record
http://hdl.handle.net/20.500.12613/5328
Metadata
Show full item recordDOI
10.1136/amiajnl-2014-002759Abstract
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 opensource 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.Citation to related work
Oxford University Press (OUP)Has part
Journal of the American Medical Informatics AssociationADA compliance
For Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.eduae974a485f413a2113503eed53cd6c53
http://dx.doi.org/10.34944/dspace/5310