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Creating an Automated Health Attestation System During the COVID-19 Pandemic with Microsoft 365

Identifying and isolating individuals infected with COVID-19 are critical steps in stopping the spread of the coronavirus. Until widespread testing and contact tracing systems are implemented, alternative methods must be considered. One way that organizations can protect employees and clients is by...

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Detalles Bibliográficos
Autores principales: Dubuque, Erick M., Yingling, Marissa E., Ranade, Erica S., Dubuque, Molly L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7521569/
https://www.ncbi.nlm.nih.gov/pubmed/33014310
http://dx.doi.org/10.1007/s40617-020-00495-y
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author Dubuque, Erick M.
Yingling, Marissa E.
Ranade, Erica S.
Dubuque, Molly L.
author_facet Dubuque, Erick M.
Yingling, Marissa E.
Ranade, Erica S.
Dubuque, Molly L.
author_sort Dubuque, Erick M.
collection PubMed
description Identifying and isolating individuals infected with COVID-19 are critical steps in stopping the spread of the coronavirus. Until widespread testing and contact tracing systems are implemented, alternative methods must be considered. One way that organizations can protect employees and clients is by creating their own automated health attestation systems. These systems could be used to reduce the spread of the coronavirus by asking providers and consumers to self-identify COVID-19 exposure, as well as to help mitigate liability for organizations by asking providers and consumers to agree to follow relevant policies and acknowledge the risks inherent in providing or receiving services. The purpose of this article is to outline the steps for creating this type of health attestation system using Microsoft Office 365.
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spelling pubmed-75215692020-09-29 Creating an Automated Health Attestation System During the COVID-19 Pandemic with Microsoft 365 Dubuque, Erick M. Yingling, Marissa E. Ranade, Erica S. Dubuque, Molly L. Behav Anal Pract Technical and Tutorials Identifying and isolating individuals infected with COVID-19 are critical steps in stopping the spread of the coronavirus. Until widespread testing and contact tracing systems are implemented, alternative methods must be considered. One way that organizations can protect employees and clients is by creating their own automated health attestation systems. These systems could be used to reduce the spread of the coronavirus by asking providers and consumers to self-identify COVID-19 exposure, as well as to help mitigate liability for organizations by asking providers and consumers to agree to follow relevant policies and acknowledge the risks inherent in providing or receiving services. The purpose of this article is to outline the steps for creating this type of health attestation system using Microsoft Office 365. Springer International Publishing 2020-09-28 /pmc/articles/PMC7521569/ /pubmed/33014310 http://dx.doi.org/10.1007/s40617-020-00495-y Text en © Association for Behavior Analysis International 2020
spellingShingle Technical and Tutorials
Dubuque, Erick M.
Yingling, Marissa E.
Ranade, Erica S.
Dubuque, Molly L.
Creating an Automated Health Attestation System During the COVID-19 Pandemic with Microsoft 365
title Creating an Automated Health Attestation System During the COVID-19 Pandemic with Microsoft 365
title_full Creating an Automated Health Attestation System During the COVID-19 Pandemic with Microsoft 365
title_fullStr Creating an Automated Health Attestation System During the COVID-19 Pandemic with Microsoft 365
title_full_unstemmed Creating an Automated Health Attestation System During the COVID-19 Pandemic with Microsoft 365
title_short Creating an Automated Health Attestation System During the COVID-19 Pandemic with Microsoft 365
title_sort creating an automated health attestation system during the covid-19 pandemic with microsoft 365
topic Technical and Tutorials
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7521569/
https://www.ncbi.nlm.nih.gov/pubmed/33014310
http://dx.doi.org/10.1007/s40617-020-00495-y
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