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Evaluating Generalizability of a Biospecimen Informatics Approach: Support for Local Requirements and Best Practices

To enable clinical and translational research, academic medical centers increasingly implement biospecimen information management systems. At our institution, one laboratory successfully implemented a multi-system solution that enabled collection and reporting of specimen- and aliquot-level data. Th...

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Autores principales: Chen, Cindy, Wulff, Regina T., Sholle, Evan T., Roboz, Gail J., Kraemer, David A., Campion, Thomas R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961803/
https://www.ncbi.nlm.nih.gov/pubmed/29888041
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author Chen, Cindy
Wulff, Regina T.
Sholle, Evan T.
Roboz, Gail J.
Kraemer, David A.
Campion, Thomas R.
author_facet Chen, Cindy
Wulff, Regina T.
Sholle, Evan T.
Roboz, Gail J.
Kraemer, David A.
Campion, Thomas R.
author_sort Chen, Cindy
collection PubMed
description To enable clinical and translational research, academic medical centers increasingly implement biospecimen information management systems. At our institution, one laboratory successfully implemented a multi-system solution that enabled collection and reporting of specimen- and aliquot-level data. The objective of this study was to assess the solution against the laboratory’s requirements and with respect to support of best practices for biospecimen information management systems defined by the International Society for Biological and Environmental Repositories (ISBER). The solution supported the laboratory’s reporting needs and 90% (n=26) of ISBER best practices. To the best of our knowledge, this is among the first studies to demonstrate the generalizability of a biospecimen informatics approach. Findings suggest that development and evaluation of biospecimen informatics approaches can potentially improve through closer collaboration of informatics and biorepository professional societies.
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spelling pubmed-59618032018-06-08 Evaluating Generalizability of a Biospecimen Informatics Approach: Support for Local Requirements and Best Practices Chen, Cindy Wulff, Regina T. Sholle, Evan T. Roboz, Gail J. Kraemer, David A. Campion, Thomas R. AMIA Jt Summits Transl Sci Proc Articles To enable clinical and translational research, academic medical centers increasingly implement biospecimen information management systems. At our institution, one laboratory successfully implemented a multi-system solution that enabled collection and reporting of specimen- and aliquot-level data. The objective of this study was to assess the solution against the laboratory’s requirements and with respect to support of best practices for biospecimen information management systems defined by the International Society for Biological and Environmental Repositories (ISBER). The solution supported the laboratory’s reporting needs and 90% (n=26) of ISBER best practices. To the best of our knowledge, this is among the first studies to demonstrate the generalizability of a biospecimen informatics approach. Findings suggest that development and evaluation of biospecimen informatics approaches can potentially improve through closer collaboration of informatics and biorepository professional societies. American Medical Informatics Association 2018-05-18 /pmc/articles/PMC5961803/ /pubmed/29888041 Text en ©2018 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose
spellingShingle Articles
Chen, Cindy
Wulff, Regina T.
Sholle, Evan T.
Roboz, Gail J.
Kraemer, David A.
Campion, Thomas R.
Evaluating Generalizability of a Biospecimen Informatics Approach: Support for Local Requirements and Best Practices
title Evaluating Generalizability of a Biospecimen Informatics Approach: Support for Local Requirements and Best Practices
title_full Evaluating Generalizability of a Biospecimen Informatics Approach: Support for Local Requirements and Best Practices
title_fullStr Evaluating Generalizability of a Biospecimen Informatics Approach: Support for Local Requirements and Best Practices
title_full_unstemmed Evaluating Generalizability of a Biospecimen Informatics Approach: Support for Local Requirements and Best Practices
title_short Evaluating Generalizability of a Biospecimen Informatics Approach: Support for Local Requirements and Best Practices
title_sort evaluating generalizability of a biospecimen informatics approach: support for local requirements and best practices
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961803/
https://www.ncbi.nlm.nih.gov/pubmed/29888041
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