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The Critical Factors Affecting the Deployment and Scaling of Healthcare AI: Viewpoint from an Experienced Medical Center
Healthcare Artificial Intelligence (AI) has the greatest opportunity for development. Since healthcare and technology are two of Taiwan’s most competitive industries, the development of healthcare AI is an excellent chance for Taiwan to improve its health-related services. From the perspective of ec...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226916/ https://www.ncbi.nlm.nih.gov/pubmed/34200189 http://dx.doi.org/10.3390/healthcare9060685 |
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author | Liu, Chung-Feng Huang, Chien-Cheng Wang, Jhi-Joung Kuo, Kuang-Ming Chen, Chia-Jung |
author_facet | Liu, Chung-Feng Huang, Chien-Cheng Wang, Jhi-Joung Kuo, Kuang-Ming Chen, Chia-Jung |
author_sort | Liu, Chung-Feng |
collection | PubMed |
description | Healthcare Artificial Intelligence (AI) has the greatest opportunity for development. Since healthcare and technology are two of Taiwan’s most competitive industries, the development of healthcare AI is an excellent chance for Taiwan to improve its health-related services. From the perspective of economic development, promoting healthcare AI must be a top priority. However, despite having many breakthroughs in research and pilot projects, healthcare AI is still considered rare and is broadly used in the healthcare setting. Based on a medical center in Taiwan that has introduced a variety of healthcare AI into practice, this study discussed and analyzed the issues and concerns in the development and scaling of medical AIs from the perspective of various stakeholders in the healthcare setting, including the government, healthcare institutions, users (healthcare workers), and AI providers. The present study also identified critical influential factors for the deployment and scaling of healthcare AI. It is hoped that this paper can serve as an important reference for the advancement of healthcare AI not only in Taiwan but also in other countries. |
format | Online Article Text |
id | pubmed-8226916 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82269162021-06-26 The Critical Factors Affecting the Deployment and Scaling of Healthcare AI: Viewpoint from an Experienced Medical Center Liu, Chung-Feng Huang, Chien-Cheng Wang, Jhi-Joung Kuo, Kuang-Ming Chen, Chia-Jung Healthcare (Basel) Perspective Healthcare Artificial Intelligence (AI) has the greatest opportunity for development. Since healthcare and technology are two of Taiwan’s most competitive industries, the development of healthcare AI is an excellent chance for Taiwan to improve its health-related services. From the perspective of economic development, promoting healthcare AI must be a top priority. However, despite having many breakthroughs in research and pilot projects, healthcare AI is still considered rare and is broadly used in the healthcare setting. Based on a medical center in Taiwan that has introduced a variety of healthcare AI into practice, this study discussed and analyzed the issues and concerns in the development and scaling of medical AIs from the perspective of various stakeholders in the healthcare setting, including the government, healthcare institutions, users (healthcare workers), and AI providers. The present study also identified critical influential factors for the deployment and scaling of healthcare AI. It is hoped that this paper can serve as an important reference for the advancement of healthcare AI not only in Taiwan but also in other countries. MDPI 2021-06-07 /pmc/articles/PMC8226916/ /pubmed/34200189 http://dx.doi.org/10.3390/healthcare9060685 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Perspective Liu, Chung-Feng Huang, Chien-Cheng Wang, Jhi-Joung Kuo, Kuang-Ming Chen, Chia-Jung The Critical Factors Affecting the Deployment and Scaling of Healthcare AI: Viewpoint from an Experienced Medical Center |
title | The Critical Factors Affecting the Deployment and Scaling of Healthcare AI: Viewpoint from an Experienced Medical Center |
title_full | The Critical Factors Affecting the Deployment and Scaling of Healthcare AI: Viewpoint from an Experienced Medical Center |
title_fullStr | The Critical Factors Affecting the Deployment and Scaling of Healthcare AI: Viewpoint from an Experienced Medical Center |
title_full_unstemmed | The Critical Factors Affecting the Deployment and Scaling of Healthcare AI: Viewpoint from an Experienced Medical Center |
title_short | The Critical Factors Affecting the Deployment and Scaling of Healthcare AI: Viewpoint from an Experienced Medical Center |
title_sort | critical factors affecting the deployment and scaling of healthcare ai: viewpoint from an experienced medical center |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226916/ https://www.ncbi.nlm.nih.gov/pubmed/34200189 http://dx.doi.org/10.3390/healthcare9060685 |
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