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J Biomed Inform. 2013 Dec 4. pii: S1532-0464(13)00190-1. doi: 10.1016/j.jbi.2013.11.009. [Epub ahead of print]

Federated Aggregate Cohort Estimator (FACE): An easy to deploy, vendor neutral, multi-institutional cohort query architecture.

Author information

  • 1Biomedical Informatics, Center for Clinical and Translational Science, University of Alabama at Birmingham, Suit 175 Sparks Building, 1720 7th Avenue South, Birmingham, AL 35233, United States. Electronic address: mwyatt@uabmc.edu.
  • 2Biomedical Informatics, Center for Clinical and Translational Science, University of Alabama at Birmingham, Suit 175 Sparks Building, 1720 7th Avenue South, Birmingham, AL 35233, United States.
  • 3University of Colorado Cancer Center, 13001 E. 17th Place, Aurora, CO 80045, United States.
  • 4Research Computing Services, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655-0002, United States.
  • 5Department of Quantitative Health Sciences, University of Massachusetts Medical School, AS8-1063, 368 Plantation Street, Worcester, MA 01605, United States.
  • 6Denver Public Health, Denver Health, 605 Bannock Street, Denver, CO 80204, United States.
  • 7Department of Quantitative Health Sciences, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655-0002, United States.
  • 8Department of Biomedical Informatics, The Ohio State University College of Medicine, 3190 Graves Hall, 333 W. Tenth Avenue, Columbus, OH 43210, United States.
  • 9Health Informatics Program, Department of Health Services Administration, University of Alabama at Birmingham, 1705 University Blvd #590J, Birmingham, AL 35294-1212, United States.

Abstract

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.

Copyright © 2013 Elsevier Inc. All rights reserved.

KEYWORDS:

Cohort discovery; Data sharing; Federated query; Grid architecture; TRIAD; i2b2

PMID:
24316052
[PubMed - as supplied by publisher]
PMCID:
PMC4045656
[Available on 2015/6/4]
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