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Managing personal health information in distributed research network environments

BACKGROUND: Studying rare outcomes, new interventions and diverse populations often requires collaborations across multiple health research partners. However, transferring healthcare research data from one institution to another can increase the risk of data privacy and security breaches. METHODS: A...

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Autores principales: Bredfeldt, Christine E, Butani, Amy L, Pardee, Roy, Hitz, Paul, Padmanabhan, Sandy, Saylor, Gwyn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3851487/
https://www.ncbi.nlm.nih.gov/pubmed/24099117
http://dx.doi.org/10.1186/1472-6947-13-116
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author Bredfeldt, Christine E
Butani, Amy L
Pardee, Roy
Hitz, Paul
Padmanabhan, Sandy
Saylor, Gwyn
author_facet Bredfeldt, Christine E
Butani, Amy L
Pardee, Roy
Hitz, Paul
Padmanabhan, Sandy
Saylor, Gwyn
author_sort Bredfeldt, Christine E
collection PubMed
description BACKGROUND: Studying rare outcomes, new interventions and diverse populations often requires collaborations across multiple health research partners. However, transferring healthcare research data from one institution to another can increase the risk of data privacy and security breaches. METHODS: A working group of multi-site research programmers evaluated the need for tools to support data security and data privacy. The group determined that data privacy support tools should: 1) allow for a range of allowable Protected Health Information (PHI); 2) clearly identify what type of data should be protected under the Health Insurance Portability and Accountability Act (HIPAA); and 3) help analysts identify which protected health information data elements are allowable in a given project and how they should be protected during data transfer. Based on these requirements we developed two performance support tools to support data programmers and site analysts in exchanging research data. RESULTS: The first tool, a workplan template, guides the lead programmer through effectively communicating the details of multi-site programming, including how to run the program, what output the program will create, and whether the output is expected to contain protected health information. The second performance support tool is a checklist that site analysts can use to ensure that multi-site program output conforms to expectations and does not contain protected health information beyond what is allowed under the multi-site research agreements. CONCLUSIONS: Together the two tools create a formal multi-site programming workflow designed to reduce the chance of accidental PHI disclosure.
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spelling pubmed-38514872013-12-06 Managing personal health information in distributed research network environments Bredfeldt, Christine E Butani, Amy L Pardee, Roy Hitz, Paul Padmanabhan, Sandy Saylor, Gwyn BMC Med Inform Decis Mak Technical Advance BACKGROUND: Studying rare outcomes, new interventions and diverse populations often requires collaborations across multiple health research partners. However, transferring healthcare research data from one institution to another can increase the risk of data privacy and security breaches. METHODS: A working group of multi-site research programmers evaluated the need for tools to support data security and data privacy. The group determined that data privacy support tools should: 1) allow for a range of allowable Protected Health Information (PHI); 2) clearly identify what type of data should be protected under the Health Insurance Portability and Accountability Act (HIPAA); and 3) help analysts identify which protected health information data elements are allowable in a given project and how they should be protected during data transfer. Based on these requirements we developed two performance support tools to support data programmers and site analysts in exchanging research data. RESULTS: The first tool, a workplan template, guides the lead programmer through effectively communicating the details of multi-site programming, including how to run the program, what output the program will create, and whether the output is expected to contain protected health information. The second performance support tool is a checklist that site analysts can use to ensure that multi-site program output conforms to expectations and does not contain protected health information beyond what is allowed under the multi-site research agreements. CONCLUSIONS: Together the two tools create a formal multi-site programming workflow designed to reduce the chance of accidental PHI disclosure. BioMed Central 2013-10-08 /pmc/articles/PMC3851487/ /pubmed/24099117 http://dx.doi.org/10.1186/1472-6947-13-116 Text en Copyright © 2013 Bredfeldt et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Technical Advance
Bredfeldt, Christine E
Butani, Amy L
Pardee, Roy
Hitz, Paul
Padmanabhan, Sandy
Saylor, Gwyn
Managing personal health information in distributed research network environments
title Managing personal health information in distributed research network environments
title_full Managing personal health information in distributed research network environments
title_fullStr Managing personal health information in distributed research network environments
title_full_unstemmed Managing personal health information in distributed research network environments
title_short Managing personal health information in distributed research network environments
title_sort managing personal health information in distributed research network environments
topic Technical Advance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3851487/
https://www.ncbi.nlm.nih.gov/pubmed/24099117
http://dx.doi.org/10.1186/1472-6947-13-116
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