This paper presents the design and implementation of an Extended Reality (XR) platform for immersive, interactive visualization of Electronic Health Records (EHRs). The system extends beyond conventional 2D interfaces by visualizing both structured and unstructured patient data into a shared 3D environment, enabling intuitive exploration and real-time collaboration. The modular infrastructure integrates FHIR-based EHR data with volumetric medical imaging and AI-generated segmentation, ensuring interoperability with modern healthcare systems. The platform's capabilities are demonstrated using synthetic EHR datasets and computed tomography (CT)-derived spine models processed through an AI-powered segmentation pipeline. This work suggests that such integrated XR solutions could form the foundation for next-generation clinical decision-support tools, where advanced data infrastructures are directly accessible in an interactive and spatially rich environment.
翻译:本文提出了一种用于沉浸式交互可视化电子健康记录(EHR)的扩展现实(XR)平台的设计与实现。该系统通过将结构化和非结构化患者数据可视化至共享三维环境中,超越了传统的二维界面,实现了直观探索与实时协作。模块化基础设施将基于FHIR标准的EHR数据与容积医学影像及AI生成的分割结果相集成,确保了与现代医疗系统的互操作性。平台功能通过合成EHR数据集及经AI分割流程处理的计算机断层扫描(CT)脊柱模型进行验证。本研究表明,此类集成XR解决方案可为下一代临床决策支持工具奠定基础,使先进数据基础设施在交互性强且空间信息丰富的环境中直接可访问。