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Big Data and Ambulatory Care: Breaking Down Legal Barriers to Support Effective Use
Big data is heralded as having the potential to revolutionize health care by making large amounts of data available to support care delivery, population health, and patient engagement. Critics argue that big data's transformative potential is inhibited by privacy requirements that restrict heal...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4272234/ https://www.ncbi.nlm.nih.gov/pubmed/25401945 http://dx.doi.org/10.1097/JAC.0000000000000059 |
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author | Thorpe, Jane Hyatt Gray, Elizabeth Alexandra |
author_facet | Thorpe, Jane Hyatt Gray, Elizabeth Alexandra |
author_sort | Thorpe, Jane Hyatt |
collection | PubMed |
description | Big data is heralded as having the potential to revolutionize health care by making large amounts of data available to support care delivery, population health, and patient engagement. Critics argue that big data's transformative potential is inhibited by privacy requirements that restrict health information exchange. However, there are a variety of permissible activities involving use and disclosure of patient information that support care delivery and management. This article presents an overview of the legal framework governing health information, dispels misconceptions about privacy regulations, and highlights how ambulatory care providers in particular can maximize the utility of big data to improve care. |
format | Online Article Text |
id | pubmed-4272234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-42722342014-12-23 Big Data and Ambulatory Care: Breaking Down Legal Barriers to Support Effective Use Thorpe, Jane Hyatt Gray, Elizabeth Alexandra J Ambul Care Manage Original Articles Big data is heralded as having the potential to revolutionize health care by making large amounts of data available to support care delivery, population health, and patient engagement. Critics argue that big data's transformative potential is inhibited by privacy requirements that restrict health information exchange. However, there are a variety of permissible activities involving use and disclosure of patient information that support care delivery and management. This article presents an overview of the legal framework governing health information, dispels misconceptions about privacy regulations, and highlights how ambulatory care providers in particular can maximize the utility of big data to improve care. Lippincott Williams & Wilkins 2015-01 2014-12-02 /pmc/articles/PMC4272234/ /pubmed/25401945 http://dx.doi.org/10.1097/JAC.0000000000000059 Text en © 2015 Wolters Kluwer Health | Lippincott Williams & Wilkins This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivitives 3.0 License, where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially. |
spellingShingle | Original Articles Thorpe, Jane Hyatt Gray, Elizabeth Alexandra Big Data and Ambulatory Care: Breaking Down Legal Barriers to Support Effective Use |
title | Big Data and Ambulatory Care: Breaking Down Legal Barriers to Support Effective Use |
title_full | Big Data and Ambulatory Care: Breaking Down Legal Barriers to Support Effective Use |
title_fullStr | Big Data and Ambulatory Care: Breaking Down Legal Barriers to Support Effective Use |
title_full_unstemmed | Big Data and Ambulatory Care: Breaking Down Legal Barriers to Support Effective Use |
title_short | Big Data and Ambulatory Care: Breaking Down Legal Barriers to Support Effective Use |
title_sort | big data and ambulatory care: breaking down legal barriers to support effective use |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4272234/ https://www.ncbi.nlm.nih.gov/pubmed/25401945 http://dx.doi.org/10.1097/JAC.0000000000000059 |
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