School of Industrial Engineering, Purdue University, West Lafayette, Indiana 47907, USA; email:
Departments of Critical Care Medicine, Surgery, and Medicine; Snyder Institute for Chronic Diseases; and the Trauma Program, University of Calgary and Alberta Health Services, Calgary, Alberta T2N 2T9, Canada.
Annu Rev Biomed Eng. 2021 Jul 13;23:115-139. doi: 10.1146/annurev-bioeng-083120-023315. Epub 2021 Mar 26.
Telemedicine is perhaps the most rapidly growing area in health care. Approximately 15 million Americans receive medical assistance remotely every year. Yet rural communities face significant challenges in securing subspecialist care. In the United States, 25% of the population resides in rural areas, where less than 15% of physicians work. Current surgery residency programs do not adequately prepare surgeons for rural practice. Telementoring, wherein a remote expert guides a less experienced caregiver, has been proposed to address this challenge. Nonetheless, existing mentoring technologies are not widely available to rural communities, due to a lack of infrastructure and mentor availability. For this reason, some clinicians prefer simpler and more reliable technologies. This article presents past and current telementoring systems, with a focus on rural settings, and proposes aset of requirements for such systems. We conclude with a perspective on the future of telementoring systems and the integration of artificial intelligence within those systems.
远程医疗或许是医疗保健领域发展最快的领域。每年大约有 1500 万美国人接受远程医疗援助。然而,农村社区在获得专科医疗服务方面面临着重大挑战。在美国,25%的人口居住在农村地区,而那里只有不到 15%的医生工作。目前的外科住院医师培训计划并没有为外科医生在农村地区行医做好充分准备。远程指导(mentoring),即由远程专家指导经验较少的护理人员,被提议用来解决这一挑战。尽管如此,由于基础设施和导师资源的缺乏,现有的指导技术并不能广泛应用于农村社区。出于这个原因,一些临床医生更喜欢更简单、更可靠的技术。本文介绍了过去和现在的远程指导系统,重点介绍了农村环境,并为这些系统提出了一系列要求。最后,我们对远程指导系统的未来以及这些系统中人工智能的整合进行了展望。