1. PaTH: towards a learning health system in the Mid-Atlantic region
- Author
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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, and Fu-Chiang Tsui
- Subjects
Knowledge management ,Best practice ,Information Dissemination ,Health Informatics ,Health informatics ,patient reported outcomes (PROs) ,Computer Communication Networks ,Nursing ,Patient-Centered Care ,patient-centered outcomes research (PCORI) ,Outcome Assessment, Health Care ,Electronic Health Records ,Humans ,Medicine ,Mid-Atlantic Region ,business.industry ,clinical data research network (CDRN) ,Focus on Building a Network for Patient-Centered Outcomes Research ,electronic health records (EHRs) ,Outreach ,Data sharing ,I2B2 ,distributed cohort query ,Informatics ,Medical Record Linkage ,business ,PATH (variable) - 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.
- Published
- 2014
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