Bioinformatics Solution to Unique Identification Labeling for Tissue Bank Databases: Practicing Safe “Sets”
Z vonMenchhofen, D McGarvey, V LiVolsi. University of Pennsylvania, Philadelphia, PA
Background: Modern research approaches to human disease create a need for pathologically well-characterized human biosamples. This has led to the establishment of biological tissue banks. Various organizations, such as International Society for Biological and Environmental Repositories (ISBER), National Cancer Institute (NCI) and American Association of Tissue Banks (AATB), involved in funding and furthering research in human disease have formulated Guidelines, Recommendations and Best Practices that direct the over-arching objective mission of participating banks. These guidelines emphasize adherence to Health Insurance Portability and Accountability Act (HIPAA).
Design: The Eastern Division of the Cooperative Human Tissue Network (CHTN), an NCI sponsored prospective tissue procurement organization, has developed a programmatic informatics approach to tracking human biospecimens and data, while guaranteeing confidentiality under HIPPA. The informatic application assigns a unique identifier to each aliquot, insuring compliance with recommended Best Practices of ISBER, NCI and AATB.
Results: This set-theory approach is one of grouping individual aliquots into specialized entities for tracking and processing purposes. Each aliquot is given a unique identifier. This unique identifier is then referentially linked to one or all of the following group entities: 1) Patient Health Information Entity: denotes information about the donor. Information is kept on a secured data warehouse behind layered firewalls in an encrypted format. 2) Biosample Entity: tracks histopathologic characteristics of all the aliquots within entity. 3) Slide/Fluid Entity: references multiple quantities of individual aliquots allowing precise inventory tracking, while permitting processing of all entity member aliquots together. 4) Associative Entity: marks aliquots received from a single procedure. 5) Distribution Entity: relates all aliquots that are assigned for distribution to a single investigator. 6) Information Entity: stores digitized documentation in a secure environment, such as pathology reports, chart reviews, informed consent documents and/or slide images which pertain to an aliquot or a group of aliquots.
Conclusions: The developed application solves the question of individual aliquot labeling while preserving correlation with histopathology review procedures that guarantee proper fulfillment of investigator requests for human biosamples and data, inventory tracking, patient confidentiality, and content management documents.
Monday, March 22, 2010 1:00 PM
Poster Session II # 166, Monday Afternoon