基于眼底图片的5G医疗眼科远程诊断中心的构建与应用

The construction and application of 5G remote ophthalmology diagnosis center based on fundus images

目的:依托最新的第5代移动通信技术(5th generation wireless systems,5G),构建基于眼底图片的5G医疗眼科远程诊断平台,促进医疗资源上下贯通,提升基层服务能力及医疗服务体系整体效能。方法:基于5G时代医院的信息化发展战略,在海南省卫生健康委员会的资助与指导下,中山大学中山眼科中心海南眼科医院与中国联通通信集团海南有限公司等进行跨行业、多学科的技术力量研究开发,构建5G条件下的平台建设模块和技术路线,确定远程眼科诊断流程,并在海南省内多地区应用。结果:远程诊断平台运行良好。2020年12月至2021年11月,本研究共在海南省17个地区的186个卫生院中开展,共收集1561例患者眼底病图片数据,筛查阳性例数为185例,检出眼底病总阳性率为11.9%。其中有42例需要转诊治疗,转诊率为23%;143例不需要转诊治疗,非转诊率为77%。在1561例眼底图像中,采集异常的眼底图像有490例。排除490例异常眼底图像后,辅助诊断系统与人工诊断结果有1002张眼底图像诊断相同,69张眼底图像诊断不同,其辅助诊断系统准确率为93.3%。结论:5G移动通信与远程医学影像结合,运用互联网科技催生新型医疗生产力,提高卫生经济的质量和效率,是医疗领域探索5G应用场景的一项应用典范。

Objective:Relying on the latest 5th generation wireless systems(5G),a remote primary ophthalmology care diagnosis platform based on fundus images was constructed in order to promote the connectivity of medical resources and improve the primary health service capabilities and the overall effectiveness of the medical service system.Methods:Based on the 5G informatization development strategy of hospitals,and under the funding and guidance of the Hainan Provincial Health Commission,the Hainan Eye Hospital of Zhongshan Ophthalmic Center and China Unicom Communications Group Hainan Co.,Ltd.conducted a cross-industry,multi-disciplinary technical research.To build platform construction modules and technical routes under 5G networks,present the remote ophthalmological diagnosis process,and apply it in many regions in Hainan Province.Results:The performance of the remote diagnosis platform is well.From December 2020 to November2021,this study was carried out in 186 health centers in 17 regions of Hainan Province.A total of 1561 patients with fundus disease image data were collected.The number of positive screening fundus disease cases was 185.The total positive rate was 11.9%.Among them,42 cases required referral for treatment,with a referral rate of23%,and 143 cases did not require referral for treatment,with a non-referral rate of 77%.Among 1561 cases of fundus images,490 fundus images were excluded due to abnormal quality.Compared the results of the diagnosis platform system with manual diagnosis,1002 fundus images were identical,and 69 fundus images were different in diagnosis.The accuracy of the auxiliary diagnosis system was 93.3%.Conclusions:The collaboration of 5G mobile communication and telemedicine imaging,combined with internet technology to promote new medi cal productivity,improve quality and efficiency of the health economy.This study is an application model for exploring 5G application scenarios in the medical field.