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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...

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Autores principales: Suarez, Maritza, Botwinick, Avi, Akkiraju, Ravi, Pebanco, Gilbert, Franceschi, Dido, Ruiz, Jose, Reis, David, Weiss, Roy E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
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.
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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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