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Implementation of a digital chatbot to screen health system employees during the COVID-19 pandemic
The screening of healthcare workers for COVID-19 (coronavirus disease 2019) symptoms and exposures prior to every clinical shift is important for preventing nosocomial spread of infection but creates a major logistical challenge. To make the screening process simple and efficient, University of Cali...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7313990/ https://www.ncbi.nlm.nih.gov/pubmed/32531066 http://dx.doi.org/10.1093/jamia/ocaa130 |
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author | Judson, Timothy J Odisho, Anobel Y Young, Jerry J Bigazzi, Olivia Steuer, David Gonzales, Ralph Neinstein, Aaron B |
author_facet | Judson, Timothy J Odisho, Anobel Y Young, Jerry J Bigazzi, Olivia Steuer, David Gonzales, Ralph Neinstein, Aaron B |
author_sort | Judson, Timothy J |
collection | PubMed |
description | The screening of healthcare workers for COVID-19 (coronavirus disease 2019) symptoms and exposures prior to every clinical shift is important for preventing nosocomial spread of infection but creates a major logistical challenge. To make the screening process simple and efficient, University of California, San Francisco Health designed and implemented a digital chatbot-based workflow. Within 1 week of forming a team, we conducted a product development sprint and deployed the digital screening process. In the first 2 months of use, over 270 000 digital screens have been conducted. This process has reduced wait times for employees entering our hospitals during shift changes, allowed for physical distancing at hospital entrances, prevented higher-risk individuals from coming to work, and provided our healthcare leaders with robust, real-time data for make staffing decisions. |
format | Online Article Text |
id | pubmed-7313990 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-73139902020-06-25 Implementation of a digital chatbot to screen health system employees during the COVID-19 pandemic Judson, Timothy J Odisho, Anobel Y Young, Jerry J Bigazzi, Olivia Steuer, David Gonzales, Ralph Neinstein, Aaron B J Am Med Inform Assoc Case Reports The screening of healthcare workers for COVID-19 (coronavirus disease 2019) symptoms and exposures prior to every clinical shift is important for preventing nosocomial spread of infection but creates a major logistical challenge. To make the screening process simple and efficient, University of California, San Francisco Health designed and implemented a digital chatbot-based workflow. Within 1 week of forming a team, we conducted a product development sprint and deployed the digital screening process. In the first 2 months of use, over 270 000 digital screens have been conducted. This process has reduced wait times for employees entering our hospitals during shift changes, allowed for physical distancing at hospital entrances, prevented higher-risk individuals from coming to work, and provided our healthcare leaders with robust, real-time data for make staffing decisions. Oxford University Press 2020-09-15 /pmc/articles/PMC7313990/ /pubmed/32531066 http://dx.doi.org/10.1093/jamia/ocaa130 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model) |
spellingShingle | Case Reports Judson, Timothy J Odisho, Anobel Y Young, Jerry J Bigazzi, Olivia Steuer, David Gonzales, Ralph Neinstein, Aaron B Implementation of a digital chatbot to screen health system employees during the COVID-19 pandemic |
title | Implementation of a digital chatbot to screen health system employees during the COVID-19 pandemic |
title_full | Implementation of a digital chatbot to screen health system employees during the COVID-19 pandemic |
title_fullStr | Implementation of a digital chatbot to screen health system employees during the COVID-19 pandemic |
title_full_unstemmed | Implementation of a digital chatbot to screen health system employees during the COVID-19 pandemic |
title_short | Implementation of a digital chatbot to screen health system employees during the COVID-19 pandemic |
title_sort | implementation of a digital chatbot to screen health system employees during the covid-19 pandemic |
topic | Case Reports |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7313990/ https://www.ncbi.nlm.nih.gov/pubmed/32531066 http://dx.doi.org/10.1093/jamia/ocaa130 |
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