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Health information exchange policies of 11 diverse health systems and the associated impact on volume of exchange

Background: Provider organizations increasingly have the ability to exchange patient health information electronically. Organizational health information exchange (HIE) policy decisions can impact the extent to which external information is readily available to providers, but this relationship has n...

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Autores principales: Downing, N Lance, Adler-Milstein, Julia, Palma, Jonathan P, Lane, Steven, Eisenberg, Matthew, Sharp, Christopher, Longhurst, Christopher A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654085/
https://www.ncbi.nlm.nih.gov/pubmed/27301748
http://dx.doi.org/10.1093/jamia/ocw063
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author Downing, N Lance
Adler-Milstein, Julia
Palma, Jonathan P
Lane, Steven
Eisenberg, Matthew
Sharp, Christopher
Longhurst, Christopher A
author_facet Downing, N Lance
Adler-Milstein, Julia
Palma, Jonathan P
Lane, Steven
Eisenberg, Matthew
Sharp, Christopher
Longhurst, Christopher A
author_sort Downing, N Lance
collection PubMed
description Background: Provider organizations increasingly have the ability to exchange patient health information electronically. Organizational health information exchange (HIE) policy decisions can impact the extent to which external information is readily available to providers, but this relationship has not been well studied. Objective: Our objective was to examine the relationship between electronic exchange of patient health information across organizations and organizational HIE policy decisions. We focused on 2 key decisions: whether to automatically search for information from other organizations and whether to require HIE-specific patient consent. Methods: We conducted a retrospective time series analysis of the effect of automatic querying and the patient consent requirement on the monthly volume of clinical summaries exchanged. We could not assess degree of use or usefulness of summaries, organizational decision-making processes, or generalizability to other vendors. Results: Between 2013 and 2015, clinical summary exchange volume increased by 1349% across 11 organizations. Nine of the 11 systems were set up to enable auto-querying, and auto-querying was associated with a significant increase in the monthly rate of exchange (P = .006 for change in trend). Seven of the 11 organizations did not require patient consent specifically for HIE, and these organizations experienced a greater increase in volume of exchange over time compared to organizations that required consent. Conclusions: Automatic querying and limited consent requirements are organizational HIE policy decisions that impact the volume of exchange, and ultimately the information available to providers to support optimal care. Future efforts to ensure effective HIE may need to explicitly address these factors.
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spelling pubmed-76540852020-11-30 Health information exchange policies of 11 diverse health systems and the associated impact on volume of exchange Downing, N Lance Adler-Milstein, Julia Palma, Jonathan P Lane, Steven Eisenberg, Matthew Sharp, Christopher Longhurst, Christopher A J Am Med Inform Assoc Research and Applications Background: Provider organizations increasingly have the ability to exchange patient health information electronically. Organizational health information exchange (HIE) policy decisions can impact the extent to which external information is readily available to providers, but this relationship has not been well studied. Objective: Our objective was to examine the relationship between electronic exchange of patient health information across organizations and organizational HIE policy decisions. We focused on 2 key decisions: whether to automatically search for information from other organizations and whether to require HIE-specific patient consent. Methods: We conducted a retrospective time series analysis of the effect of automatic querying and the patient consent requirement on the monthly volume of clinical summaries exchanged. We could not assess degree of use or usefulness of summaries, organizational decision-making processes, or generalizability to other vendors. Results: Between 2013 and 2015, clinical summary exchange volume increased by 1349% across 11 organizations. Nine of the 11 systems were set up to enable auto-querying, and auto-querying was associated with a significant increase in the monthly rate of exchange (P = .006 for change in trend). Seven of the 11 organizations did not require patient consent specifically for HIE, and these organizations experienced a greater increase in volume of exchange over time compared to organizations that required consent. Conclusions: Automatic querying and limited consent requirements are organizational HIE policy decisions that impact the volume of exchange, and ultimately the information available to providers to support optimal care. Future efforts to ensure effective HIE may need to explicitly address these factors. Oxford University Press 2017-01 2016-06-14 /pmc/articles/PMC7654085/ /pubmed/27301748 http://dx.doi.org/10.1093/jamia/ocw063 Text en © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research and Applications
Downing, N Lance
Adler-Milstein, Julia
Palma, Jonathan P
Lane, Steven
Eisenberg, Matthew
Sharp, Christopher
Longhurst, Christopher A
Health information exchange policies of 11 diverse health systems and the associated impact on volume of exchange
title Health information exchange policies of 11 diverse health systems and the associated impact on volume of exchange
title_full Health information exchange policies of 11 diverse health systems and the associated impact on volume of exchange
title_fullStr Health information exchange policies of 11 diverse health systems and the associated impact on volume of exchange
title_full_unstemmed Health information exchange policies of 11 diverse health systems and the associated impact on volume of exchange
title_short Health information exchange policies of 11 diverse health systems and the associated impact on volume of exchange
title_sort health information exchange policies of 11 diverse health systems and the associated impact on volume of exchange
topic Research and Applications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654085/
https://www.ncbi.nlm.nih.gov/pubmed/27301748
http://dx.doi.org/10.1093/jamia/ocw063
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