Chatbots and COVID-19 : Taking Stock of the Lessons Learned
©Virginia Arnold, Tina D Purnat, Robert Marten, Andrew Pattison, Hebe Gouda. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 21.03.2024..
While digital innovation in health was already rapidly evolving, the COVID-19 pandemic has accelerated the generation of digital technology tools, such as chatbots, to help increase access to crucial health information and services to those who were cut off or had limited contact with health services. This theme issue titled "Chatbots and COVID-19" presents articles from researchers and practitioners across the globe, describing the development, implementation, and evaluation of chatbots designed to address a wide range of health concerns and services. In this editorial, we present some of the key challenges and lessons learned arising from the content of this theme issue. Most notably, we note that a stronger evidence base is needed to ensure that chatbots and other digital tools are developed to best serve the needs of population health.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2024 |
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Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:26 |
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Enthalten in: |
Journal of medical Internet research - 26(2024) vom: 21. März, Seite e54840 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Arnold, Virginia [VerfasserIn] |
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Links: |
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Themen: |
COVID-19 |
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Anmerkungen: |
Date Completed 22.03.2024 Date Revised 20.04.2024 published: Electronic Citation Status MEDLINE |
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doi: |
10.2196/54840 |
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funding: |
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520 | |a While digital innovation in health was already rapidly evolving, the COVID-19 pandemic has accelerated the generation of digital technology tools, such as chatbots, to help increase access to crucial health information and services to those who were cut off or had limited contact with health services. This theme issue titled "Chatbots and COVID-19" presents articles from researchers and practitioners across the globe, describing the development, implementation, and evaluation of chatbots designed to address a wide range of health concerns and services. In this editorial, we present some of the key challenges and lessons learned arising from the content of this theme issue. Most notably, we note that a stronger evidence base is needed to ensure that chatbots and other digital tools are developed to best serve the needs of population health | ||
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