Federated Aggregate Cohort Estimator (FACE): an easy to deploy, vendor neutral, multi-institutional cohort query architecture
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Authors
Wyatt, Matthew C.Hendrickson, R. Curtis
Ames, Michael
Bondy, Jessica
Ranauro, Paul
English, Thomas M.
Bobitt, Keith
Davidson, Arthur
Houston, Thomas K.
Embi, Peter J.
Berner, Eta S.
Document Type
Journal ArticlePublication Date
2014-12-01Keywords
Cohort discoveryData sharing
Federated query
Grid architecture
TRIAD
i2b2
UMCCTS funding
Bioinformatics
Databases and Information Systems
Health and Medical Administration
Health Information Technology
Translational Medical Research
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Show full item recordAbstract
Cross-institutional data sharing for cohort discovery is critical to enabling future research. While particularly useful in rare diseases, the ability to target enrollment and to determine if an institution has a sufficient number of patients is valuable in all research, particularly in the initiation of projects and collaborations. An optimal technology solution would work with any source database with minimal resource investment for deployment and would meet all necessary security and confidentiality requirements of participating organizations. We describe a platform-neutral reference implementation to meet these requirements: the Federated Aggregate Cohort Estimator (FACE). FACE was developed and implemented through a collaboration of The University of Alabama at Birmingham (UAB), The Ohio State University (OSU), the University of Massachusetts Medical School (UMMS), and the Denver Health and Hospital Authority (DHHA) a clinical affiliate of the Colorado Clinical and Translational Sciences Institute. The reference implementation of FACE federated diverse SQL data sources and an i2b2 instance to estimate combined research subject availability from three institutions. It used easily-deployed virtual machines and addressed privacy and security concerns for data sharing.Source
J Biomed Inform. 2014 Dec;52:65-71. doi: 10.1016/j.jbi.2013.11.009. Epub 2013 Dec 4. Link to article on publisher's site
DOI
10.1016/j.jbi.2013.11.009Permanent Link to this Item
http://hdl.handle.net/20.500.14038/50357PubMed ID
24316052Related Resources
ae974a485f413a2113503eed53cd6c53
10.1016/j.jbi.2013.11.009