Journal article
Each patient is a research biorepository: informatics-enabled research on surplus clinical specimens via the living BioBank
Journal of the American Medical Informatics Association : JAMIA, Vol.28(1), pp.138-143
01/01/2021
DOI: 10.1093/jamia/ocaa236
PMCID: PMC7810447
PMID: 33166379
Abstract
The ability to analyze human specimens is the pillar of modern-day translational research. To enhance the research availability of relevant clinical specimens, we developed the Living BioBank (LBB) solution, which allows for just-in-time capture and delivery of phenotyped surplus laboratory medicine specimens. The LBB is a system-of-systems integrating research feasibility databases in i2b2, a real-time clinical data warehouse, and an informatics system for institutional research services management (SPARC). LBB delivers deidentified clinical data and laboratory specimens. We further present an extension to our solution, the Living mu Biome Bank, that allows the user to request and receive phenotyped specimen microbiome data. We discuss the details of the implementation of the LBB system and the necessary regulatory oversight for this solution. The conducted institutional focus group of translational investigators indicates an overall positive sentiment towards potential scientific results generated with the use of LBB. Reference implementation of LBB is available at https://LivingBioBank.musc.edu.
Details
- Title: Subtitle
- Each patient is a research biorepository: informatics-enabled research on surplus clinical specimens via the living BioBank
- Creators
- Alexander Alekseyenko - Medical University of South CarolinaBashir Hamidi - Medical University of South CarolinaTrevor D. Faith - Medical University of South CarolinaKeith A. Crandall - Milken InstituteJennifer G. Powers - University of IowaChristopher L. Metts - Medical University of South CarolinaJames E. Madory - Medical University of South CarolinaSteven L. Carroll - Medical University of South CarolinaJihad S. Obeid - Medical University of South CarolinaLeslie A. Lenert - Medical University of South Carolina
- Resource Type
- Journal article
- Publication Details
- Journal of the American Medical Informatics Association : JAMIA, Vol.28(1), pp.138-143
- Publisher
- Oxford Univ Press
- DOI
- 10.1093/jamia/ocaa236
- PMID
- 33166379
- PMCID
- PMC7810447
- ISSN
- 1067-5027
- eISSN
- 1527-974X
- Number of pages
- 6
- Grant note
- R21 TR002513; UL1 TR001450 / NIH/NCATS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Center for Advancing Translational Sciences (NCATS) 5P30CA138313; 1UM1CA239752; 1U54CA210962 / NIH/NCI; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI) R01 LM012517 / NIH/NLM; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Library of Medicine (NLM) 1RO1AG055132 / NIH/NIA; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Aging (NIA)
- Language
- English
- Date published
- 01/01/2021
- Academic Unit
- Dermatology
- Record Identifier
- 9984368088002771
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