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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Georg Thieme Verlag KG
2019
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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. |
format | Online Article Text |
id | pubmed-6697552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Georg Thieme Verlag KG |
record_format | MEDLINE/PubMed |
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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