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Amin W, Tsui FR, 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. PaTH: towards a learning health system in the Mid-Atlantic region. J Am Med Inform Assoc 2014; 21:633-6. [PMID: 24821745 PMCID: PMC4078296 DOI: 10.1136/amiajnl-2014-002759] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2014] [Revised: 03/19/2014] [Accepted: 03/25/2014] [Indexed: 12/02/2022] Open
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.
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Affiliation(s)
- Waqas Amin
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Fuchiang Rich Tsui
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Charles Borromeo
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Cynthia H Chuang
- Department of Medicine and Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Jeremy U Espino
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Daniel Ford
- Department of Medicine, Division of Health Science Informatics, John Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Wenke Hwang
- Department of Public Health Sciences, Division of Health Services Research, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Wishwa Kapoor
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Harold Lehmann
- Department of Medicine, Division of Health Science Informatics, John Hopkins School of Medicine, Baltimore, Maryland, USA
| | - G Daniel Martich
- Department of Critical Care Medicine, UPMC, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Sally Morton
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Anuradha Paranjape
- Department of Medicine, Temple University School of Medicine, Philadelphia, Pennsylvania, USA
| | - William Shirey
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Aaron Sorensen
- Department of Medicine, Temple University School of Medicine, Philadelphia, Pennsylvania, USA
| | - Michael J Becich
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Rachel Hess
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
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