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Automation of mass vaccination against COVID-19 at an academic health center
As vaccines against COVID-19 became available for distribution, the University of Miami addressed several challenges to facilitate vaccine allocation to the highest risk employees, patients, and students. Advanced use of technology allowed for the automation of key processes in the mass vaccination...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672935/ https://www.ncbi.nlm.nih.gov/pubmed/34927000 http://dx.doi.org/10.1093/jamiaopen/ooab102 |
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author | Suarez, Maritza Botwinick, Avi Akkiraju, Ravi Pebanco, Gilbert Franceschi, Dido Ruiz, Jose Reis, David Weiss, Roy E |
author_facet | Suarez, Maritza Botwinick, Avi Akkiraju, Ravi Pebanco, Gilbert Franceschi, Dido Ruiz, Jose Reis, David Weiss, Roy E |
author_sort | Suarez, Maritza |
collection | PubMed |
description | As vaccines against COVID-19 became available for distribution, the University of Miami addressed several challenges to facilitate vaccine allocation to the highest risk employees, patients, and students. Advanced use of technology allowed for the automation of key processes in the mass vaccination effort, which expedited vaccine outreach and scheduling, while maintaining routine delivery of healthcare services. The University’s employees were initially prioritized for vaccination; employees who opted in were stratified into 5 vaccine administration phases. A similar process was implemented for students. When the state of Florida mandated expansion of vaccine allocation to include individuals aged 65 and older, an algorithm for patients was designed, taking into account age, comorbidities, date of last visit, and presence of an activated patient portal account. Innovative use of technology allowed for 19 000 vaccines to be administered within the first 37 days, which comprised 100% vaccine allotment, without wasting a single vaccine dose. |
format | Online Article Text |
id | pubmed-8672935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-86729352021-12-16 Automation of mass vaccination against COVID-19 at an academic health center Suarez, Maritza Botwinick, Avi Akkiraju, Ravi Pebanco, Gilbert Franceschi, Dido Ruiz, Jose Reis, David Weiss, Roy E JAMIA Open Case Report As vaccines against COVID-19 became available for distribution, the University of Miami addressed several challenges to facilitate vaccine allocation to the highest risk employees, patients, and students. Advanced use of technology allowed for the automation of key processes in the mass vaccination effort, which expedited vaccine outreach and scheduling, while maintaining routine delivery of healthcare services. The University’s employees were initially prioritized for vaccination; employees who opted in were stratified into 5 vaccine administration phases. A similar process was implemented for students. When the state of Florida mandated expansion of vaccine allocation to include individuals aged 65 and older, an algorithm for patients was designed, taking into account age, comorbidities, date of last visit, and presence of an activated patient portal account. Innovative use of technology allowed for 19 000 vaccines to be administered within the first 37 days, which comprised 100% vaccine allotment, without wasting a single vaccine dose. Oxford University Press 2021-11-30 /pmc/articles/PMC8672935/ /pubmed/34927000 http://dx.doi.org/10.1093/jamiaopen/ooab102 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/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Case Report Suarez, Maritza Botwinick, Avi Akkiraju, Ravi Pebanco, Gilbert Franceschi, Dido Ruiz, Jose Reis, David Weiss, Roy E Automation of mass vaccination against COVID-19 at an academic health center |
title | Automation of mass vaccination against COVID-19 at an academic health
center |
title_full | Automation of mass vaccination against COVID-19 at an academic health
center |
title_fullStr | Automation of mass vaccination against COVID-19 at an academic health
center |
title_full_unstemmed | Automation of mass vaccination against COVID-19 at an academic health
center |
title_short | Automation of mass vaccination against COVID-19 at an academic health
center |
title_sort | automation of mass vaccination against covid-19 at an academic health
center |
topic | Case Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672935/ https://www.ncbi.nlm.nih.gov/pubmed/34927000 http://dx.doi.org/10.1093/jamiaopen/ooab102 |
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