用沉浸式XR可视化病历数据，支持多人实时协作分析。
EXR: An Interactive Immersive EHR Visualization in Extended Reality
- 构建3D交互环境，融合结构化与非结构化病历数据。
- 集成FHIR数据与AI分割的CT脊柱模型，实现多源数据联动。
- 适合临床决策支持系统开发人员及医疗可视化研究者。
本文提出并实现了一个扩展现实（XR）平台，用于电子健康记录（EHR）的沉浸式、交互式可视化。该系统超越传统2D界面，将结构化与非结构化患者数据共同呈现于共享的3D环境中，支持直观探索与实时协作。模块化架构整合基于FHIR的EHR数据、体素医学影像及AI生成的分割结果，确保与现代医疗系统的互操作性。通过合成EHR数据集和经由AI分割管道处理的计算机断层扫描（CT）脊柱模型验证了平台能力。研究表明，此类集成式XR解决方案可成为下一代临床决策支持工具的基础，使先进数据基础设施在交互性强、空间丰富的环境中直接可用。
原文摘要 · Abstract (English)
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.
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