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dc.creatorAmin, W
dc.creatorRich Tsui, F
dc.creatorBorromeo, C
dc.creatorChuang, CH
dc.creatorEspino, JU
dc.creatorFord, D
dc.creatorHwang, W
dc.creatorKapoor, W
dc.creatorLehmann, H
dc.creatorMartich, GD
dc.creatorMorton, S
dc.creatorParanjape, A
dc.creatorShirey, W
dc.creatorSorensen, A
dc.creatorBecich, MJ
dc.creatorHess, R
dc.creatorDocimo, AB
dc.creatorGibson, K
dc.creatorHeinrich, TA
dc.creatorJain, S
dc.creatorKahn, J
dc.creatorKhorey, L
dc.creatorLindell, K
dc.creatorMcTigue, K
dc.creatorMueller, M
dc.creatorRyan, C
dc.creatorClark, J
dc.creatorDanoff, S
dc.creatorGumas, D
dc.creatorMeiselman, S
dc.creatorNazarian, S
dc.creatorOberteuffer, R
dc.creatorWang, NY
dc.creatorAbendroth, T
dc.creatorBascom, R
dc.creatorBerg, A
dc.creatorDimmock, A
dc.creatorDzomba, B
dc.creatorKraschnewski, J
dc.creatorNaccarelli, G
dc.creatorNotterman, D
dc.creatorPaz, H
dc.creatorRauscher, R
dc.creatorSciamanna, C
dc.creatorCheung, J
dc.creatorCordova, F
dc.creatorFeldman, A
dc.creatorFrank, E
dc.creatorJacobs, M
dc.creatorMohan, K
dc.creatorParker, M
dc.creatorPettengill, C
dc.creatorValentin, M
dc.creatorWeiner, M
dc.date.accessioned2021-01-31T17:44:08Z
dc.date.available2021-01-31T17:44:08Z
dc.date.issued2014-01-01
dc.identifier.issn1067-5027
dc.identifier.issn1527-974X
dc.identifier.doihttp://dx.doi.org/10.34944/dspace/5310
dc.identifier.other24821745 (pubmed)
dc.identifier.urihttp://hdl.handle.net/20.500.12613/5328
dc.description.abstractThe 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.
dc.format.extent633-636
dc.language.isoen
dc.relation.haspartJournal of the American Medical Informatics Association
dc.relation.isreferencedbyOxford University Press (OUP)
dc.rightsCC BY-NC
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/
dc.subjectI2B2
dc.subjectclinical data research network (CDRN)
dc.subjectdistributed cohort query
dc.subjectelectronic health records (EHRs)
dc.subjectpatient reported outcomes (PROs)
dc.subjectpatient-centered outcomes research (PCORI)
dc.subjectComputer Communication Networks
dc.subjectElectronic Health Records
dc.subjectHumans
dc.subjectInformation Dissemination
dc.subjectMedical Record Linkage
dc.subjectMid-Atlantic Region
dc.subjectOutcome Assessment, Health Care
dc.subjectPatient-Centered Care
dc.titlePaTH: Towards a learning health system in the Mid-Atlantic region
dc.typeArticle
dc.type.genreJournal Article
dc.relation.doi10.1136/amiajnl-2014-002759
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.creator.orcidDzomba, Bari|0000-0002-0294-2187
dc.date.updated2021-01-31T17:44:04Z
refterms.dateFOA2021-01-31T17:44:09Z


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