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Informatics for public health and health system collaboration: Applications for the control of the current COVID-19 pandemic and the next one
Public health faces unprecedented challenges in its efforts to control COVID-19 through a national vaccination campaign. Addressing these challenges will require fundamental changes to public health data systems. For example, of the core data systems for immunization campaigns is the immunization in...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8135542/ https://www.ncbi.nlm.nih.gov/pubmed/33895827 http://dx.doi.org/10.1093/jamia/ocab066 |
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author | Lenert, Leslie A Ding, Wei Jacobs, Jeff |
author_facet | Lenert, Leslie A Ding, Wei Jacobs, Jeff |
author_sort | Lenert, Leslie A |
collection | PubMed |
description | Public health faces unprecedented challenges in its efforts to control COVID-19 through a national vaccination campaign. Addressing these challenges will require fundamental changes to public health data systems. For example, of the core data systems for immunization campaigns is the immunization information system (IIS); however, IISs were designed for tracking the vaccinated, not finding the patients who are high risk and need to be vaccinated. Health systems have this data in their electronic health records (EHR) systems and often have a greater capacity for outreach. Clearly, a partnership is needed. However, successful collaborations will require public health to change from its historical hierarchical information supply chain model to an ecosystem model with a peer-to-peer exchange with population health providers. Examples of the types of informatics innovations necessary to support such an ecosystem include a national patient identifier, population-level data exchange for immunization data, and computable electronic quality measures. Rather than think of these components individually, a comprehensive approach to rapidly adaptable tools for collaboration is needed. |
format | Online Article Text |
id | pubmed-8135542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-81355422021-05-21 Informatics for public health and health system collaboration: Applications for the control of the current COVID-19 pandemic and the next one Lenert, Leslie A Ding, Wei Jacobs, Jeff J Am Med Inform Assoc Perspective Public health faces unprecedented challenges in its efforts to control COVID-19 through a national vaccination campaign. Addressing these challenges will require fundamental changes to public health data systems. For example, of the core data systems for immunization campaigns is the immunization information system (IIS); however, IISs were designed for tracking the vaccinated, not finding the patients who are high risk and need to be vaccinated. Health systems have this data in their electronic health records (EHR) systems and often have a greater capacity for outreach. Clearly, a partnership is needed. However, successful collaborations will require public health to change from its historical hierarchical information supply chain model to an ecosystem model with a peer-to-peer exchange with population health providers. Examples of the types of informatics innovations necessary to support such an ecosystem include a national patient identifier, population-level data exchange for immunization data, and computable electronic quality measures. Rather than think of these components individually, a comprehensive approach to rapidly adaptable tools for collaboration is needed. Oxford University Press 2021-06-08 /pmc/articles/PMC8135542/ /pubmed/33895827 http://dx.doi.org/10.1093/jamia/ocab066 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Perspective Lenert, Leslie A Ding, Wei Jacobs, Jeff Informatics for public health and health system collaboration: Applications for the control of the current COVID-19 pandemic and the next one |
title | Informatics for public health and health system collaboration: Applications for the control of the current COVID-19 pandemic and the next one |
title_full | Informatics for public health and health system collaboration: Applications for the control of the current COVID-19 pandemic and the next one |
title_fullStr | Informatics for public health and health system collaboration: Applications for the control of the current COVID-19 pandemic and the next one |
title_full_unstemmed | Informatics for public health and health system collaboration: Applications for the control of the current COVID-19 pandemic and the next one |
title_short | Informatics for public health and health system collaboration: Applications for the control of the current COVID-19 pandemic and the next one |
title_sort | informatics for public health and health system collaboration: applications for the control of the current covid-19 pandemic and the next one |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8135542/ https://www.ncbi.nlm.nih.gov/pubmed/33895827 http://dx.doi.org/10.1093/jamia/ocab066 |
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