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作 者:陈亦婷 郑莉凡 冯子贤 屈舒缨 CHEN Yiting;ZHENG Lifan;FENG Zixian;QU Shuying(Xi'an University of Finance and Economics,Xi'an 710100,China)
机构地区:[1]西安财经大学,陕西西安710100
出 处:《智能物联技术》2024年第4期73-77,共5页Technology of Io T& AI
基 金:2023年大学生创新创业训练计划项目省级立项(S202311560028X)。
摘 要:日间医疗服务作为现代医疗体系的重要创新,旨在通过优化医疗资源配置,实现患者快速诊断、治疗及康复,显著缩短住院周期,进而有效缓解医疗资源紧张状况,减轻患者经济负担。然而,面对信息孤岛、流程不畅、服务质量参差不齐等挑战,日间医疗服务的全面推广面临阻碍。为此,设计一个融合大数据技术的日间医疗信息化服务平台方案。该平台以患者为中心,运用大数据技术分析优化诊疗流程,实现医疗资源的精准匹配与高效利用;通过云计算和物联网技术,构建数据共享与互联互通的基础架构,确保信息畅通无阻;强化智能决策支持系统,提升医疗服务质量和效率,为日间医疗服务的持续健康发展奠定坚实的技术基础。As an important innovation of the modern medical system,daytime medical service aims to optimize the allocation of medical resources,achieve rapid diagnosis,treatment and rehabilitation of patients,significantly shorten the hospitalization period,and then effectively alleviate the shortage of medical resources and reduce the economic burden of patients.However,in the face of challenges such as information silos,poor processes and uneven service quality,the comprehensive promotion of daytime medical services faces obstacles.In this regard,this paper designs a daytime medical information service platform scheme that integrates big data technology.The patient-centered platform uses big data technology to analyze and optimize the diagnosis and treatment process to achieve accurate matching and efficient utilization of medical resources.Build an infrastructure for data sharing and connectivity through cloud computing and internet of things technologies to ensure unimpeded access to information;strengthen the intelligent decision support system,improve the quality and efficiency of medical services,and lay a solid technical foundation for the sustainable and healthy development of daytime medical services.
分 类 号:TP311.5[自动化与计算机技术—计算机软件与理论]
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