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J Am Med Inform Assoc. 2014 Jul-Aug;21(4):633-6. doi: 10.1136/amiajnl-2014-002759. Epub 2014 May 12.

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

Author information

  • 1Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • 2Department of Medicine and Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA.
  • 3Department of Medicine, Division of Health Science Informatics, John Hopkins School of Medicine, Baltimore, Maryland, USA.
  • 4Department of Public Health Sciences, Division of Health Services Research, Penn State College of Medicine, Hershey, Pennsylvania, USA.
  • 5Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • 6Department of Critical Care Medicine, UPMC, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • 7Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
  • 8Department of Medicine, Temple University School of Medicine, Philadelphia, Pennsylvania, USA.

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.

KEYWORDS:

I2B2; clinical data research network (CDRN); distributed cohort query; electronic health records (EHRs); patient reported outcomes (PROs); patient-centered outcomes research (PCORI)

PMID:
24821745
PMCID:
PMC4078296
DOI:
10.1136/amiajnl-2014-002759
[PubMed - indexed for MEDLINE]
Free PMC Article
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