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作 者:王晓晖[1] Bryan Spencer(综述) 程文(审校)[3] WANG Xiaohui;Bryan Spencer;CHENG Wen(Lingnan(University)College,Sun Yat-sen University,Guangzhou 510275,China;Department of Management,Frankfurt School of Finance&Management,Frankfurt,Germany;Lingnan-ISC Environment,Health,and Safety Academy for Chinese Enterprises,Sun Yat-sen University,Guangzhou 510275,China)
机构地区:[1]中山大学岭南(大学)学院,广州510275 [2]Department of Management,Frankfurt School of Finance&Management,Frankfurt,Germany [3]中山大学岭南(大学)学院中国企业环境、健康与安全管理研究中心,广州510275
出 处:《眼科学报》2021年第1期50-54,共5页Eye Science
基 金:中山大学岭南学院、中山大学中国转型与开放经济研究所联合招标项目(广东省公立医院改制模式和政策研究)。
摘 要:人工智能(artificial intelligence,AI)为解决中国患者“看病难”问题提供了可行方案。眼科AI已实现为患者提供筛查、远程诊断及治疗建议等方面的服务,能显著减轻医疗资源不足的压力和患者的经济负担。而AI的应用过程中,给医疗管理带来的挑战应引起重视。本文从医疗管理的角度,总结分析AI在眼科医疗过程中,尤其是交接环节中出现的主要问题,提出对策与建议,并讨论AI在眼科医疗的应用展望。Artificial intelligence(AI)has been proposed as a potential solution to address the shortage of ophthalmologists in China.With the increasingly extensive application of AI in the field of ophthalmology,many potential patients with eye diseases have access to a higher quality of medical services.At the same time,new challenges will emerge and proliferate with the advancement of AI application.This paper focuses on the patient handoffs process and discusses two challenges brought by the application of AI,namely“communication”and“standardization”.Natural language processing techniques and the development of standardized databases are proposed to solve each of these challenges.The application prospects of AI in ophthalmology are eventually discussed.
分 类 号:R197.32[医药卫生—卫生事业管理]
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