Issue |
SHS Web Conf.
Volume 200, 2024
2024 International Conference on Sustainable Economy and Social Sciences (SESS 2024)
|
|
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Article Number | 01024 | |
Number of page(s) | 11 | |
Section | Sustainable Economy | |
DOI | https://doi.org/10.1051/shsconf/202420001024 | |
Published online | 31 October 2024 |
Research on the Development and Challenges of Remote Medical Service Models in the Medical Digital Economy
Massachusetts Institute of Technology, Massachusetts, USA
* Corresponding author: kcesy@pm.me
With the rapid development of the digital economy, the remote medical service model is undergoing unprecedented profound changes. This change is not only reflected in the continuous innovation of technology, such as the wide application of advanced technologies such as the Internet, big data, and artificial intelligence, but it also involves the comprehensive upgrading of medical service concepts, models, and management systems. In the context of the medical digital economy, remote medical services have gradually become an important component of medical services due to their unique advantages, such as cross- regional and efficient convenience, bringing patients a more convenient and efficient medical experience. While remote medical services are rapidly developing, they also face many challenges. Information security issues, technological ethical dilemmas, and uneven service quality are all urgent problems that need to be addressed in the current development of remote medical services. These issues are not only related to the sustainable development of remote medical services but also directly affect the vital interests of patients. This article aims to explore in depth the current development status of remote medical service models under the background of the medical digital economy, comprehensively analyze the challenges they face, and propose corresponding response strategies. We hope that this study can provide useful references for the sustainable development of remote medical services, promote their better service to the health needs of patients, optimize the allocation of medical resources, and comprehensively improve the quality of medical services.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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