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Leveraging conversational technology to answer common COVID-19 questions
The rapidly evolving science about the Coronavirus Disease 2019 (COVID-19) pandemic created unprecedented health information needs and dramatic changes in policies globally. We describe a platform, Watson Assistant (WA), which has been used to develop conversational agents to deliver COVID-19 relate...
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/PMC7798957/ https://www.ncbi.nlm.nih.gov/pubmed/33517402 http://dx.doi.org/10.1093/jamia/ocaa316 |
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author | McKillop, Mollie South, Brett R Preininger, Anita Mason, Mitch Jackson, Gretchen Purcell |
author_facet | McKillop, Mollie South, Brett R Preininger, Anita Mason, Mitch Jackson, Gretchen Purcell |
author_sort | McKillop, Mollie |
collection | PubMed |
description | The rapidly evolving science about the Coronavirus Disease 2019 (COVID-19) pandemic created unprecedented health information needs and dramatic changes in policies globally. We describe a platform, Watson Assistant (WA), which has been used to develop conversational agents to deliver COVID-19 related information. We characterized the diverse use cases and implementations during the early pandemic and measured adoption through a number of users, messages sent, and conversational turns (ie, pairs of interactions between users and agents). Thirty-seven institutions in 9 countries deployed COVID-19 conversational agents with WA between March 30 and August 10, 2020, including 24 governmental agencies, 7 employers, 5 provider organizations, and 1 health plan. Over 6.8 million messages were delivered through the platform. The mean number of conversational turns per session ranged between 1.9 and 3.5. Our experience demonstrates that conversational technologies can be rapidly deployed for pandemic response and are adopted globally by a wide range of users. |
format | Online Article Text |
id | pubmed-7798957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77989572021-01-25 Leveraging conversational technology to answer common COVID-19 questions McKillop, Mollie South, Brett R Preininger, Anita Mason, Mitch Jackson, Gretchen Purcell J Am Med Inform Assoc Brief Communication The rapidly evolving science about the Coronavirus Disease 2019 (COVID-19) pandemic created unprecedented health information needs and dramatic changes in policies globally. We describe a platform, Watson Assistant (WA), which has been used to develop conversational agents to deliver COVID-19 related information. We characterized the diverse use cases and implementations during the early pandemic and measured adoption through a number of users, messages sent, and conversational turns (ie, pairs of interactions between users and agents). Thirty-seven institutions in 9 countries deployed COVID-19 conversational agents with WA between March 30 and August 10, 2020, including 24 governmental agencies, 7 employers, 5 provider organizations, and 1 health plan. Over 6.8 million messages were delivered through the platform. The mean number of conversational turns per session ranged between 1.9 and 3.5. Our experience demonstrates that conversational technologies can be rapidly deployed for pandemic response and are adopted globally by a wide range of users. Oxford University Press 2021-02-01 /pmc/articles/PMC7798957/ /pubmed/33517402 http://dx.doi.org/10.1093/jamia/ocaa316 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Brief Communication McKillop, Mollie South, Brett R Preininger, Anita Mason, Mitch Jackson, Gretchen Purcell Leveraging conversational technology to answer common COVID-19 questions |
title | Leveraging conversational technology to answer common COVID-19 questions |
title_full | Leveraging conversational technology to answer common COVID-19 questions |
title_fullStr | Leveraging conversational technology to answer common COVID-19 questions |
title_full_unstemmed | Leveraging conversational technology to answer common COVID-19 questions |
title_short | Leveraging conversational technology to answer common COVID-19 questions |
title_sort | leveraging conversational technology to answer common covid-19 questions |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798957/ https://www.ncbi.nlm.nih.gov/pubmed/33517402 http://dx.doi.org/10.1093/jamia/ocaa316 |
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