2022, 14(5): 37-41. doi: 10.16670/j.cnki.cn11-5823/tu.2022.05.07
可视化智慧诊疗中心诊前服务平台设计研究
1. | 华东建筑集团股份有限公司,上海 200435 |
2. | 华建数创(上海)科技有限公司,上海 200070 |
Design and Research on Pre-diagnosis Service Platform of Visual Smart Treatment Center
1. | Arcplus Group Plc, Shanghai 200435, China |
2. | Arctron Data & Innovation Technology Co., Ltd., Shanghai 200070, China |
引用本文:
王亚峰, 李思洋. 可视化智慧诊疗中心诊前服务平台设计研究[J]. 土木建筑工程信息技术,
2022, 14(5): 37-41.
doi: 10.16670/j.cnki.cn11-5823/tu.2022.05.07
Citation:
Yafeng Wang, Siyang Li. Design and Research on Pre-diagnosis Service Platform of Visual Smart Treatment Center[J]. Journal of Information Technologyin Civil Engineering and Architecture,
2022, 14(5): 37-41.
doi: 10.16670/j.cnki.cn11-5823/tu.2022.05.07
摘要:为提升医疗服务水平,改善挂号排队长、收费排队长、取药排队长、医生诊治短及医患沟通难等问题。广州医科大学附属第一医院将智慧化改革成果用于诊前服务环节,由钟南山院士担任本项目总策划,拟通过国家呼吸医学中心可视化诊前服务平台建设,以患者为中心、以医疗为保障的可视化智慧医疗创新模式,解决病患就医和医生诊疗过程中的痛点,保障医疗服务更高效、便捷。如何运用可视化技术、大数据技术及物联网等技术,结合各类硬件设备实现医院智慧化诊疗的服务目标,成为医疗服务体系良性发展需解决的问题。本文通过探析国家呼吸医学中心诊前服务平台设计方略,以期为医院诊前服务水平有效提升提供参考。
Abstract: For the purpose of improving medical service levels, problems such as long registration queue, long charging queue, long medicine queue, long diagnosis and treatment, short doctor-patient communication should be solved. The First Affiliated Hospital of Guangzhou Medical University applied the results of intelligent reform to the pre-consultation service. Academician Zhong Nanshan was the chief planning officer of this project, which planned to build a visual pre-consultation service platform. Patient-centered and medical-guaranteed visual intelligent medical innovation model solves pain points in patients′ medical treatment and doctors′ diagnosis and treatment, ensuring more efficient and convenient medical services. How to use visualization, big data, Internet of Things and other technologies combined with hardware equipment to achieve the goal of hospital service on smart treatment center, which has become a problem to be solved. In this study, the design strategy of the pre-diagnosis service platform was analyzed to provide reference for the effective improvement of the pre-diagnosis service level.
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