EXR: An Interactive Immersive EHR Visualization in Extended Reality

Fuente: arXiv
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Main Authors: Marteau, Benoit, Tan, Shaun Q. Y., Li, Jieru, Hornback, Andrew, Zhong, Yishan, Wang, Shaunna, Lowson, Christian, Woloff, Jason, Pahys, Joshua M., Hwang, Steven W., Hilton, Coleman, Wang, May D.
Format: Preprint
Published: 2025
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author Marteau, Benoit
Tan, Shaun Q. Y.
Li, Jieru
Hornback, Andrew
Zhong, Yishan
Wang, Shaunna
Lowson, Christian
Woloff, Jason
Pahys, Joshua M.
Hwang, Steven W.
Hilton, Coleman
Wang, May D.
author_facet Marteau, Benoit
Tan, Shaun Q. Y.
Li, Jieru
Hornback, Andrew
Zhong, Yishan
Wang, Shaunna
Lowson, Christian
Woloff, Jason
Pahys, Joshua M.
Hwang, Steven W.
Hilton, Coleman
Wang, May D.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2512_05438
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle EXR: An Interactive Immersive EHR Visualization in Extended Reality
Marteau, Benoit
Tan, Shaun Q. Y.
Li, Jieru
Hornback, Andrew
Zhong, Yishan
Wang, Shaunna
Lowson, Christian
Woloff, Jason
Pahys, Joshua M.
Hwang, Steven W.
Hilton, Coleman
Wang, May D.
Human-Computer Interaction
Computer Vision and Pattern Recognition
Machine Learning
Multimedia
I.3.7; H.5.1; H.2.4
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.
title EXR: An Interactive Immersive EHR Visualization in Extended Reality
topic Human-Computer Interaction
Computer Vision and Pattern Recognition
Machine Learning
Multimedia
I.3.7; H.5.1; H.2.4
url https://arxiv.org/abs/2512.05438