An i2b2-based, generalizable, open source, self-scaling chronic disease registry

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An i2b2-based, generalizable, open source, self-scaling chronic disease registry

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Title: An i2b2-based, generalizable, open source, self-scaling chronic disease registry
Author: Natter, Marc D; Quan, Justin; Ortiz, David M; Bousvaros, Athos; Ilowite, Norman T; Inman, Christi J; Marsolo, Keith; McMurry, Andrew J; Sandborg, Christy I; Schanberg, Laura E; Wallace, Carol A; Warren, Robert W; Weber, Griffin M; Mandl, Kenneth D

Note: Order does not necessarily reflect citation order of authors.

Citation: Natter, M. D., J. Quan, D. M. Ortiz, A. Bousvaros, N. T. Ilowite, C. J. Inman, K. Marsolo, et al. 2012. “An i2b2-based, generalizable, open source, self-scaling chronic disease registry.” Journal of the American Medical Informatics Association : JAMIA 20 (1): 172-179. doi:10.1136/amiajnl-2012-001042. http://dx.doi.org/10.1136/amiajnl-2012-001042.
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Abstract: Objective: Registries are a well-established mechanism for obtaining high quality, disease-specific data, but are often highly project-specific in their design, implementation, and policies for data use. In contrast to the conventional model of centralized data contribution, warehousing, and control, we design a self-scaling registry technology for collaborative data sharing, based upon the widely adopted Integrating Biology & the Bedside (i2b2) data warehousing framework and the Shared Health Research Information Network (SHRINE) peer-to-peer networking software. Materials and methods Focusing our design around creation of a scalable solution for collaboration within multi-site disease registries, we leverage the i2b2 and SHRINE open source software to create a modular, ontology-based, federated infrastructure that provides research investigators full ownership and access to their contributed data while supporting permissioned yet robust data sharing. We accomplish these objectives via web services supporting peer-group overlays, group-aware data aggregation, and administrative functions. Results: The 56-site Childhood Arthritis & Rheumatology Research Alliance (CARRA) Registry and 3-site Harvard Inflammatory Bowel Diseases Longitudinal Data Repository now utilize i2b2 self-scaling registry technology (i2b2-SSR). This platform, extensible to federation of multiple projects within and between research networks, encompasses >6000 subjects at sites throughout the USA. Discussion We utilize the i2b2-SSR platform to minimize technical barriers to collaboration while enabling fine-grained control over data sharing. Conclusions: The implementation of i2b2-SSR for the multi-site, multi-stakeholder CARRA Registry has established a digital infrastructure for community-driven research data sharing in pediatric rheumatology in the USA. We envision i2b2-SSR as a scalable, reusable solution facilitating interdisciplinary research across diseases.
Published Version: doi:10.1136/amiajnl-2012-001042
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3555330/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11879405
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