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Role of Artificial Intelligence within the Telehealth Domain: Official 2019 Yearbook Contribution by the members of IMIA Telehealth Working Group

Objectives : This paper provides a discussion about the potential scope of applicability of Artificial Intelligence methods within the telehealth domain. These methods are focussed on clinical needs and provide some insight to current directions, based on reports of recent advances. Methods : Exampl...

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Autores principales: Kuziemsky, Craig, Maeder, Anthony J., John, Oommen, Gogia, Shashi B., Basu, Arindam, Meher, Sushil, Ito, Marcia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2019
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6697552/
https://www.ncbi.nlm.nih.gov/pubmed/31022750
http://dx.doi.org/10.1055/s-0039-1677897
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author Kuziemsky, Craig
Maeder, Anthony J.
John, Oommen
Gogia, Shashi B.
Basu, Arindam
Meher, Sushil
Ito, Marcia
author_facet Kuziemsky, Craig
Maeder, Anthony J.
John, Oommen
Gogia, Shashi B.
Basu, Arindam
Meher, Sushil
Ito, Marcia
author_sort Kuziemsky, Craig
collection PubMed
description Objectives : This paper provides a discussion about the potential scope of applicability of Artificial Intelligence methods within the telehealth domain. These methods are focussed on clinical needs and provide some insight to current directions, based on reports of recent advances. Methods : Examples of telehealth innovations involving Artificial Intelligence to support or supplement remote health care delivery were identified from recent literature by the authors, on the basis of expert knowledge. Observations from the examples were synthesized to yield an overview of contemporary directions for the perceived role of Artificial Intelligence in telehealth. Results : Two major focus areas for related contemporary directions were established. These were first, quality improvement for existing clinical practice and service delivery, and second, the development and support of new models of care. Case studies from each focus area have been chosen for illustration purposes. Conclusion : Examples of the role of Artificial Intelligence in delivery of health care remotely include use of tele-assessment, tele-diagnosis, tele-interactions, and tele-monitoring. Further developments of underlying algorithms and validation of methods will be required for wider adoption. Certain key social and ethical considerations also need consideration more generally in the health system, as Artificial-Intelligence-enabled-telehealth becomes more commonplace.
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spelling pubmed-66975522019-08-19 Role of Artificial Intelligence within the Telehealth Domain: Official 2019 Yearbook Contribution by the members of IMIA Telehealth Working Group Kuziemsky, Craig Maeder, Anthony J. John, Oommen Gogia, Shashi B. Basu, Arindam Meher, Sushil Ito, Marcia Yearb Med Inform Objectives : This paper provides a discussion about the potential scope of applicability of Artificial Intelligence methods within the telehealth domain. These methods are focussed on clinical needs and provide some insight to current directions, based on reports of recent advances. Methods : Examples of telehealth innovations involving Artificial Intelligence to support or supplement remote health care delivery were identified from recent literature by the authors, on the basis of expert knowledge. Observations from the examples were synthesized to yield an overview of contemporary directions for the perceived role of Artificial Intelligence in telehealth. Results : Two major focus areas for related contemporary directions were established. These were first, quality improvement for existing clinical practice and service delivery, and second, the development and support of new models of care. Case studies from each focus area have been chosen for illustration purposes. Conclusion : Examples of the role of Artificial Intelligence in delivery of health care remotely include use of tele-assessment, tele-diagnosis, tele-interactions, and tele-monitoring. Further developments of underlying algorithms and validation of methods will be required for wider adoption. Certain key social and ethical considerations also need consideration more generally in the health system, as Artificial-Intelligence-enabled-telehealth becomes more commonplace. Georg Thieme Verlag KG 2019-08 2019-04-25 /pmc/articles/PMC6697552/ /pubmed/31022750 http://dx.doi.org/10.1055/s-0039-1677897 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
spellingShingle Kuziemsky, Craig
Maeder, Anthony J.
John, Oommen
Gogia, Shashi B.
Basu, Arindam
Meher, Sushil
Ito, Marcia
Role of Artificial Intelligence within the Telehealth Domain: Official 2019 Yearbook Contribution by the members of IMIA Telehealth Working Group
title Role of Artificial Intelligence within the Telehealth Domain: Official 2019 Yearbook Contribution by the members of IMIA Telehealth Working Group
title_full Role of Artificial Intelligence within the Telehealth Domain: Official 2019 Yearbook Contribution by the members of IMIA Telehealth Working Group
title_fullStr Role of Artificial Intelligence within the Telehealth Domain: Official 2019 Yearbook Contribution by the members of IMIA Telehealth Working Group
title_full_unstemmed Role of Artificial Intelligence within the Telehealth Domain: Official 2019 Yearbook Contribution by the members of IMIA Telehealth Working Group
title_short Role of Artificial Intelligence within the Telehealth Domain: Official 2019 Yearbook Contribution by the members of IMIA Telehealth Working Group
title_sort role of artificial intelligence within the telehealth domain: official 2019 yearbook contribution by the members of imia telehealth working group
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6697552/
https://www.ncbi.nlm.nih.gov/pubmed/31022750
http://dx.doi.org/10.1055/s-0039-1677897
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