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High Throughput Tools to Access Images from Clinical Archives for Research

Historically, medical images collected in the course of clinical care have been difficult to access for secondary research studies. While there is a tremendous potential value in the large volume of studies contained in clinical image archives, Picture Archiving and Communication Systems (PACS) are...

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Autores principales: Murphy, Shawn N., Herrick, Christopher, Wang, Yanbing, Wang, Taowei David, Sack, Darren, Andriole, Katherine P., Wei, Jesse, Reynolds, Nathaniel, Plesniak, Wendy, Rosen, Bruce R., Pieper, Steven, Gollub, Randy L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4359193/
https://www.ncbi.nlm.nih.gov/pubmed/25316195
http://dx.doi.org/10.1007/s10278-014-9733-9
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author Murphy, Shawn N.
Herrick, Christopher
Wang, Yanbing
Wang, Taowei David
Sack, Darren
Andriole, Katherine P.
Wei, Jesse
Reynolds, Nathaniel
Plesniak, Wendy
Rosen, Bruce R.
Pieper, Steven
Gollub, Randy L.
author_facet Murphy, Shawn N.
Herrick, Christopher
Wang, Yanbing
Wang, Taowei David
Sack, Darren
Andriole, Katherine P.
Wei, Jesse
Reynolds, Nathaniel
Plesniak, Wendy
Rosen, Bruce R.
Pieper, Steven
Gollub, Randy L.
author_sort Murphy, Shawn N.
collection PubMed
description Historically, medical images collected in the course of clinical care have been difficult to access for secondary research studies. While there is a tremendous potential value in the large volume of studies contained in clinical image archives, Picture Archiving and Communication Systems (PACS) are designed to optimize clinical operations and workflow. Search capabilities in PACS are basic, limiting their use for population studies, and duplication of archives for research is costly. To address this need, we augment the Informatics for Integrating Biology and the Bedside (i2b2) open source software, providing investigators with the tools necessary to query and integrate medical record and clinical research data. Over 100 healthcare institutions have installed this suite of software tools that allows investigators to search medical record metadata including images for specific types of patients. In this report, we describe a new Medical Imaging Informatics Bench to Bedside (mi2b2) module (www.mi2b2.org), available now as an open source addition to the i2b2 software platform that allows medical imaging examinations collected during routine clinical care to be made available to translational investigators directly from their institution’s clinical PACS for research and educational use in compliance with the Health Insurance Portability and Accountability Act (HIPAA) Omnibus Rule. Access governance within the mi2b2 module is customizable per institution and PACS minimizing impact on clinical systems. Currently in active use at our institutions, this new technology has already been used to facilitate access to thousands of clinical MRI brain studies representing specific patient phenotypes for use in research.
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spelling pubmed-43591932015-03-18 High Throughput Tools to Access Images from Clinical Archives for Research Murphy, Shawn N. Herrick, Christopher Wang, Yanbing Wang, Taowei David Sack, Darren Andriole, Katherine P. Wei, Jesse Reynolds, Nathaniel Plesniak, Wendy Rosen, Bruce R. Pieper, Steven Gollub, Randy L. J Digit Imaging Article Historically, medical images collected in the course of clinical care have been difficult to access for secondary research studies. While there is a tremendous potential value in the large volume of studies contained in clinical image archives, Picture Archiving and Communication Systems (PACS) are designed to optimize clinical operations and workflow. Search capabilities in PACS are basic, limiting their use for population studies, and duplication of archives for research is costly. To address this need, we augment the Informatics for Integrating Biology and the Bedside (i2b2) open source software, providing investigators with the tools necessary to query and integrate medical record and clinical research data. Over 100 healthcare institutions have installed this suite of software tools that allows investigators to search medical record metadata including images for specific types of patients. In this report, we describe a new Medical Imaging Informatics Bench to Bedside (mi2b2) module (www.mi2b2.org), available now as an open source addition to the i2b2 software platform that allows medical imaging examinations collected during routine clinical care to be made available to translational investigators directly from their institution’s clinical PACS for research and educational use in compliance with the Health Insurance Portability and Accountability Act (HIPAA) Omnibus Rule. Access governance within the mi2b2 module is customizable per institution and PACS minimizing impact on clinical systems. Currently in active use at our institutions, this new technology has already been used to facilitate access to thousands of clinical MRI brain studies representing specific patient phenotypes for use in research. Springer US 2014-10-15 2015-04 /pmc/articles/PMC4359193/ /pubmed/25316195 http://dx.doi.org/10.1007/s10278-014-9733-9 Text en © The Author(s) 2014 https://creativecommons.org/licenses/by/4.0/ Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Article
Murphy, Shawn N.
Herrick, Christopher
Wang, Yanbing
Wang, Taowei David
Sack, Darren
Andriole, Katherine P.
Wei, Jesse
Reynolds, Nathaniel
Plesniak, Wendy
Rosen, Bruce R.
Pieper, Steven
Gollub, Randy L.
High Throughput Tools to Access Images from Clinical Archives for Research
title High Throughput Tools to Access Images from Clinical Archives for Research
title_full High Throughput Tools to Access Images from Clinical Archives for Research
title_fullStr High Throughput Tools to Access Images from Clinical Archives for Research
title_full_unstemmed High Throughput Tools to Access Images from Clinical Archives for Research
title_short High Throughput Tools to Access Images from Clinical Archives for Research
title_sort high throughput tools to access images from clinical archives for research
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4359193/
https://www.ncbi.nlm.nih.gov/pubmed/25316195
http://dx.doi.org/10.1007/s10278-014-9733-9
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