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Challenges in creating an opt-in biobank with a registrar-based consent process and a commercial EHR

Residual clinical samples represent a very appealing source of biomaterial for translational and clinical research. We describe the implementation of an opt-in biobank, with consent being obtained at the time of registration and the decision stored in our electronic health record, Epic. Information...

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Autores principales: Marsolo, Keith, Corsmo, Jeremy, Barnes, Michael G, Pollick, Carrie, Chalfin, Jamie, Nix, Jeremy, Smith, Christopher, Ganta, Rajesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3486732/
https://www.ncbi.nlm.nih.gov/pubmed/22878682
http://dx.doi.org/10.1136/amiajnl-2012-000960
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author Marsolo, Keith
Corsmo, Jeremy
Barnes, Michael G
Pollick, Carrie
Chalfin, Jamie
Nix, Jeremy
Smith, Christopher
Ganta, Rajesh
author_facet Marsolo, Keith
Corsmo, Jeremy
Barnes, Michael G
Pollick, Carrie
Chalfin, Jamie
Nix, Jeremy
Smith, Christopher
Ganta, Rajesh
author_sort Marsolo, Keith
collection PubMed
description Residual clinical samples represent a very appealing source of biomaterial for translational and clinical research. We describe the implementation of an opt-in biobank, with consent being obtained at the time of registration and the decision stored in our electronic health record, Epic. Information on that decision, along with laboratory data, is transferred to an application that signals to biobank staff whether a given sample can be kept for research. Investigators can search for samples using our i2b2 data warehouse. Patient participation has been overwhelmingly positive and much higher than anticipated. Over 86% of patients provided consent and almost 83% requested to be notified of any incidental research findings. In 6 months, we obtained decisions from over 18 000 patients and processed 8000 blood samples for storage in our research biobank. However, commercial electronic health records like Epic lack key functionality required by a registrar-based consent process, although workarounds exist.
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spelling pubmed-34867322013-11-08 Challenges in creating an opt-in biobank with a registrar-based consent process and a commercial EHR Marsolo, Keith Corsmo, Jeremy Barnes, Michael G Pollick, Carrie Chalfin, Jamie Nix, Jeremy Smith, Christopher Ganta, Rajesh J Am Med Inform Assoc Case Reports Residual clinical samples represent a very appealing source of biomaterial for translational and clinical research. We describe the implementation of an opt-in biobank, with consent being obtained at the time of registration and the decision stored in our electronic health record, Epic. Information on that decision, along with laboratory data, is transferred to an application that signals to biobank staff whether a given sample can be kept for research. Investigators can search for samples using our i2b2 data warehouse. Patient participation has been overwhelmingly positive and much higher than anticipated. Over 86% of patients provided consent and almost 83% requested to be notified of any incidental research findings. In 6 months, we obtained decisions from over 18 000 patients and processed 8000 blood samples for storage in our research biobank. However, commercial electronic health records like Epic lack key functionality required by a registrar-based consent process, although workarounds exist. BMJ Group 2012 /pmc/articles/PMC3486732/ /pubmed/22878682 http://dx.doi.org/10.1136/amiajnl-2012-000960 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.
spellingShingle Case Reports
Marsolo, Keith
Corsmo, Jeremy
Barnes, Michael G
Pollick, Carrie
Chalfin, Jamie
Nix, Jeremy
Smith, Christopher
Ganta, Rajesh
Challenges in creating an opt-in biobank with a registrar-based consent process and a commercial EHR
title Challenges in creating an opt-in biobank with a registrar-based consent process and a commercial EHR
title_full Challenges in creating an opt-in biobank with a registrar-based consent process and a commercial EHR
title_fullStr Challenges in creating an opt-in biobank with a registrar-based consent process and a commercial EHR
title_full_unstemmed Challenges in creating an opt-in biobank with a registrar-based consent process and a commercial EHR
title_short Challenges in creating an opt-in biobank with a registrar-based consent process and a commercial EHR
title_sort challenges in creating an opt-in biobank with a registrar-based consent process and a commercial ehr
topic Case Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3486732/
https://www.ncbi.nlm.nih.gov/pubmed/22878682
http://dx.doi.org/10.1136/amiajnl-2012-000960
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