The Critical Factors Affecting the Deployment and Scaling of Healthcare AI: Viewpoint from an Experienced Medical Center

• Main Authors: Chung-Feng Liu, Chien-Cheng Huang, Jhi-Joung Wang, Kuang-Ming Kuo, Chia-Jung Chen
• Format: Article
• Language: English
• Published: MDPI AG 2021-06-01
• Series: Healthcare
• Subjects: artificial intelligence; healthcare AI; deployment and scaling; medical center; critical factors; stakeholders
• Online Access: https://www.mdpi.com/2227-9032/9/6/685

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.