Overview
This project leverages AI technology to enhance medical imaging-based remote collaboration, breaking the limitations of traditional medical consortium models. Centered on hospital operations, the system optimizes the end-to-end consultation process, improving accessibility and efficiency, especially for patients in non-tier-one cities.
这是一个基于新时代AI人工智能技术，突破传统医联体模式，聚焦于医学影像，打造的以医院端为核心的远程协同会诊系统，致力于优化非一线城市患者为主的全流程看诊体验。
System Design
UI&UX Design
东南大学医学院附属江阴医院
Jiangyin People's Hospital
Figma
June 2023
Project Background 项目背景
China's healthcare resources are heavily concentrated in large tertiary hospitals in first-tier cities, while lower-tier cities and rural areas face shortages of resources, doctors, and diagnostic capabilities. Over 90% of diagnoses rely on medical imaging (CT, MRI, X-ray), requiring specialized expertise. Despite the medical consortium model, challenges persist, including limited image data sharing, inefficient remote consultations, and poor patient experience.
中国医疗资源分布长期不均衡，优质医疗资源高度集中于一线城市的大型三甲医院，而三四线城市及农村基层医疗机构普遍面临资源短缺、医生不足、诊疗能力有限等问题。现代医学诊断90%以上依赖医学影像（如CT、MRI、X-ray等），但影像解读需要高度专业化的技能。虽然医联体模式被推广以优化医疗资源分配，但影像数据难以跨院共享、远程会诊协作低效、患者体验不佳等问题仍然突出。
