资源有限环境下慢性病患者出院后远程医疗管理系统的开发
Development of a Medical Tele-Management System for Post-Discharge Patients of Chronic Diseases in Resource-Constrained Settings
摘要：
远程医疗管理是远程医疗研究的一个新兴领域，它提出了一种互动和积极主动的疾病管理办法，通过信息和通信技术支持的伙伴关系将远程监测和远程咨询服务结合起来。一方面，需要对慢性病进行频繁和持续的监测，以避免并发症;另一方面，需要建立一个平台，使农村居民点的卫生工作者能够与城市地区的卫生工作者进行咨询或互动，以减少隔离。然而，远程医疗系统要么作为远程监测或远程咨询系统单独存在，要么主要存在于拥有专门和充足的信通技术资源和基础设施的发达国家。这项工作开发了一个远程监测和远程咨询相结合的系统，用于在信息和通信技术资源有限的情况下管理慢性病。这是通过制定一个多层次的框架和模式，为非洲农村社区提供医疗远程管理服务来实现的。系统的可靠性得分为0.9，可用性为99.65%，故障率为99.65%，停机时间为0.21%。实施后的任务的评价结果显示，4.20和4.22的响应手段分别实现了系统的相关程度（SDR）和系统易用性（SEU），在1至5的评级量表。
英文摘要：
Medical tele-management is an emerging field of study in telemedicine that proposes an interactive and proactive disease management approach which combines tele-monitoring and tele-consultation services through an information and communications technology (ICT) supported partnership. On one hand, chronic diseases require frequent and continuous monitoring to avoid complications; on the other hand is the need for a platform where health workers in rural settlements can consult or interact with their counterparts in urban areas to reduce isolation. However, telemedicine systems exist singly either as tele-monitoring or tele-consultation systems or majorly in developed countries with dedicated and adequate ICT resources and infrastructure. This work developed a combined tele-monitoring and tele-consultation system for the management of chronic diseases within an information and communication technology resource-constrained setting. This is achieved through the development of a multi-tiered framework and model deployed to provide medical tele-management services for rural African communities. The developed system achieved reliability score, availability, uptime and downtime of 0.9, 99.65%, 99.65% and 0.21% respectively. The evaluation results of the post-implementation task revealed that response means of 4.20 and 4.22 were achieved for the system degree of relevance (SDR) and system ease of use (SEU), respectively on a rating scale of 1 to 5.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
