The concept of the meta-universe is still in its early stages, but many leading tech companies have invested heavily in research and development for this technology. The development of meta-smart cities is a significant trend. In the meta-universe environment, integrating information systems is crucial for analyzing AI big data. Establishing an integrated platform for medical information systems is key to advancing information technology. In the context of the meta-universe, creating an efficient and unified integration platform to eliminate medical information silos and reduce system integration costs has become a pressing issue in medical informatization. This paper proposes a medical information system integration method based on an integration platform and utilizing cloud computing technology as a data center. The core business layer uses the integration software “Ensemble” as the integration platform. The underlying data center employs a Hadoop storage cluster with distributed data storage and parallel computing technology, and the existing scheduling algorithm is studied and analyzed to enhance the resource scheduling algorithm for medical small file data. The effectiveness of the algorithm is simulated and verified on an experimental platform, demonstrating improved efficiency in resource scheduling.

元宇宙的概念仍处于早期阶段，但许多领先的科技公司已投入巨资研发这项技术。元智慧城市的发展是一个重要趋势。在元宇宙环境中，整合信息系统对于分析人工智能大数据至关重要。建立医疗信息系统集成平台是推进信息化的关键。在元宇宙背景下，打造高效、统一的集成平台，消除医疗信息孤岛，降低系统集成成本，已成为医疗信息化亟待解决的问题。提出一种基于集成平台、利用云计算技术作为数据中心的医疗信息系统集成方法。核心业务层采用集成软件“Ensemble”作为集成平台。底层数据中心采用分布式数据存储和并行计算技术的Hadoop存储集群，对现有调度算法进行研究分析，增强医疗小文件数据的资源调度算法。在实验平台上对算法的有效性进行了仿真验证，提高了资源调度效率。