Data Manifest for Collaborative Hospital Repository Uniting Standards (CHoRUS) April 2026

<p><strong>Access Protected Enclave Data:</strong> <a href="http://chorus4ai.org/dataset">http://chorus4ai.org/dataset</a></p>

<p>The Collaborative Hospital Repository Uniting Standards (CHoRUS) for Clinical Care AI is a clinical data network developing a flagship multi-hospital, multimodal, high-resolution dataset under the NIH Bridge2AI program. CHoRUS harmonizes electronic health record (EHR) data, imaging, high-resolution physiologic signals (including telemetry data and EEG where available), and tokenized note and report text (via OHNLP toolkit) with raw text retained locally across participating institutions using standardized data models and governance frameworks. The repository is designed to enable secure, auditable, and reproducible artificial intelligence (AI) research to improve recovery from acute illness. Data are curated within a NIST 800-53–aligned secure enclave architecture with role-based access controls, audit logging, and controlled-access governance review. CHoRUS supports AI model development, validation, benchmarking, and translational research while maintaining compliance with HIPAA and NIH data-sharing policies.</p>

<p><strong>受保护飞地数据访问：</strong> <a href="http://chorus4ai.org/dataset">http://chorus4ai.org/dataset</a></p>
<p>面向临床护理人工智能的协同医院标准统一存储库（CHoRUS）是一个临床数据网络，依托美国国立卫生研究院（National Institutes of Health，NIH）的Bridge2AI计划打造旗舰级多医院、多模态高分辨率数据集。CHoRUS通过标准化数据模型与治理框架，整合协调参与机构本地留存的原始文本，涵盖电子健康档案（Electronic Health Record，EHR）数据、影像、高分辨率生理信号（含遥测数据及可用的脑电图（Electroencephalography，EEG）数据），以及通过OHNLP工具包处理的Token化病历与报告文本。该存储库旨在支持安全、可审计、可复现的人工智能（Artificial Intelligence，AI）研究，以改善急性疾病患者的康复效果。数据依托符合美国国家标准与技术研究院（National Institute of Standards and Technology，NIST）800-53标准的安全飞地架构进行管理，配套基于角色的访问控制、审计日志及受控访问治理审查机制。CHoRUS可支持AI模型开发、验证、基准测试与转化研究，同时严格遵循美国健康保险流通与责任法案（Health Insurance Portability and Accountability Act，HIPAA）及NIH数据共享政策。</p>