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将远程医疗和人工智能整合到外展眼科护理中的益处:逐步方法与未来方向

Benefits of Integrating Telemedicine and Artificial Intelligence Into Outreach Eye Care: Stepwise Approach and Future Directions.

作者信息

Chia Mark A, Turner Angus W

机构信息

Lions Outback Vision, Lions Eye Institute, Nedlands, WA, Australia.

Institute of Ophthalmology, Faculty of Brain Sciences, University College London, London, United Kingdom.

出版信息

Front Med (Lausanne). 2022 Mar 11;9:835804. doi: 10.3389/fmed.2022.835804. eCollection 2022.

Abstract

Telemedicine has traditionally been applied within remote settings to overcome geographical barriers to healthcare access, providing an alternate means of connecting patients to specialist services. The coronavirus 2019 pandemic has rapidly expanded the use of telemedicine into metropolitan areas and enhanced global telemedicine capabilities. Through our experience of delivering real-time telemedicine over the past decade within a large outreach eye service, we have identified key themes for successful implementation which may be relevant to services facing common challenges. We present our journey toward establishing a comprehensive teleophthalmology model built on the principles of collaborative care, with a focus on delivering practical lessons for service design. Artificial intelligence is an emerging technology that has shown potential to further address resource limitations. We explore the applications of artificial intelligence and the need for targeted research within underserved settings in order to meet growing healthcare demands. Based on our rural telemedicine experience, we make the case that similar models may be adapted to urban settings with the aim of reducing surgical waitlists and improving efficiency.

摘要

传统上,远程医疗应用于偏远地区,以克服医疗服务获取的地理障碍,为患者连接专科服务提供了另一种方式。2019年冠状病毒病大流行迅速将远程医疗的使用扩展到大城市地区,并增强了全球远程医疗能力。通过我们在过去十年中在大型外展眼科服务中提供实时远程医疗的经验,我们确定了成功实施的关键主题,这些主题可能与面临共同挑战的服务相关。我们介绍了我们建立基于协作护理原则的全面远程眼科模型的历程,重点是为服务设计提供实用经验教训。人工智能是一种新兴技术,已显示出进一步解决资源限制问题的潜力。我们探讨人工智能的应用以及在服务不足地区进行针对性研究的必要性,以满足不断增长的医疗需求。基于我们在农村远程医疗的经验,我们认为类似的模式可以适用于城市环境,以减少手术等候名单并提高效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/399e/8982071/6bf63f8b08ac/fmed-09-835804-g0001.jpg

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