| Literature DB >> 27045129 |
Sara K Pasquali1, Jeffrey P Jacobs2, Gregory K Farber2, David Bertoch2, Elizabeth D Blume2, Kristin M Burns2, Robert Campbell2, Anthony C Chang2, Wendy K Chung2, Tiffany Riehle-Colarusso2, Lesley H Curtis2, Christopher B Forrest2, William J Gaynor2, Michael G Gaies2, Alan S Go2, Paul Henchey2, Gerard R Martin2, Gail Pearson2, Victoria L Pemberton2, Steven M Schwartz2, Robert Vincent2, Jonathan R Kaltman2.
Abstract
The National Heart, Lung, and Blood Institute convened a working group in January 2015 to explore issues related to an integrated data network for congenital heart disease research. The overall goal was to develop a common vision for how the rapidly increasing volumes of data captured across numerous sources can be managed, integrated, and analyzed to improve care and outcomes. This report summarizes the current landscape of congenital heart disease data, data integration methodologies used across other fields, key considerations for data integration models in congenital heart disease, and the short- and long-term vision and recommendations made by the working group.Entities:
Keywords: database [publication type]; heart diseases; outcome assessment, health care
Mesh:
Year: 2016 PMID: 27045129 PMCID: PMC4932890 DOI: 10.1161/CIRCULATIONAHA.115.019506
Source DB: PubMed Journal: Circulation ISSN: 0009-7322 Impact factor: 29.690