妙佑医疗国际与以色列爱因斯坦医院合作扩展Mayo Clinic Platform_Connect
Mayo Clinic and Einstein Hospital Israelita Partner to Expand Mayo Clinic Platform_Connect
您需要了解的信息Mayo Clinic与巴西以色列爱因斯坦医院完成了技术整合里程碑，使南美的去标识化临床数据可通过Mayo Clinic Platform_Connect访问。
此次合作扩大了Mayo Clinic隐私保护医疗创新生态系统中全球人口、遗传和区域临床数据的代表性。
以色列爱因斯坦医院加入Mayo Clinic Platform的早期采用者计划，以建立安全的基于云的数据架构，并为多中心AI验证研究做准备。
Mayo Clinic Platform_Connect现覆盖七个国家的八个成员医疗系统，横跨三大洲，包括Sheba Medical Center、Mercy、University Health Network、Aga Khan University和Seoul National University Hospital。
Connect网络内的所有临床数据均完全去标识化，并受各参与医疗系统的严格治理和控制。
Mayo Clinic Platform与爱因斯坦整合南美数据集
此次整合加强了南美临床数据在Mayo安全全球数据架构中的代表性，使研究人员和数字健康开发者能够针对真正的全球患者队列验证和扩展算法。
将以色列爱因斯坦医院整合到Mayo Clinic Platform_Connect扩展了全球AI开发的基础设施：
联邦数据治理：
参与机构保留对其底层健康记录的完全控制权；数据在安全、隐私保护的云环境中进行分析，不传输原始患者身份文件。
早期采用者适应阶段：
爱因斯坦通过Mayo Clinic Platform的早期采用者计划完成了技术适应阶段，以优化云访问协议、数据标准化和安全管道。
多中心算法验证：
使多机构研究团队能够在商业部署之前，针对多样化的临床环境测试临床算法。
全球网络扩展：
Connect的网络足迹现覆盖七个国家的八个主要机构，包括Sheba Medical Center（以色列）、University Health Network（加拿大）、Mercy（美国）、Aga Khan University（肯尼亚）和Seoul National University Hospital（韩国）。
“与全球领先医院（如以色列爱因斯坦医院）合作，Mayo Clinic Platform正在整理全球数据并汇聚全球创新者，”Mayo Clinic Platform总裁John Halamka医学博士表示。“通过构建全球健康数据网络，我们可以加速可信AI解决方案的发现、开发和部署。”将南美领先的医院网络纳入其联邦架构，将使Mayo Clinic能够解决历史上限制国际软件部署的数据多样性不足问题。此外，建立安全的多国验证管道，为医疗AI如何通过全球监管审查确立了操作标准。
What You Should Know Mayo Clinic and Brazil’s Einstein Hospital Israelita completed a technological integration milestone to make de-identified clinical data from South America accessible via Mayo Clinic Platform_Connect The collaboration expands global demographic, genetic, and regional clinical representation within Mayo Clinic’s privacy-preserving healthcare innovation ecosystem.
Einstein Hospital Israelita joined Mayo Clinic Platform’s Early Adopter Program to establish secure, cloud-based data architecture and prepare for multicenter AI validation studies.
Mayo Clinic Platform_Connect now spans eight member health systems across seven countries and three continents, including Sheba Medical Center, Mercy, University Health Network, Aga Khan University, and Seoul National University Hospital.
All clinical data within the Connect network remains fully de-identified and under the strict governance and control of each participating health system.
Mayo Clinic Platform and Einstein Integrate South American Datasets
The integration strengthens South American clinical representation within Mayo’s secure global data architecture, allowing researchers and digital health developers to validate and scale algorithms against a truly global patient cohort.
The integration of
Einstein Hospital Israelita into Mayo Clinic Platform_Connect expands the infrastructure for global AI development:
Federated Data Governance:
Participating institutions retain full control over their underlying health records; data is analyzed in a secure, privacy-preserving cloud environment without transferring raw patient identity files.
Early Adopter Adaptation Stage:
Einstein completed a technological adaptation phase through Mayo Clinic Platform’s Early Adopter Program to optimize cloud access protocols, data standardization, and security pipelines.
Multicenter Algorithm Validation:
Enables multi-institutional research teams to test clinical algorithms against diverse clinical environments before commercial deployment.
Global Network Expansion:
Connect’s network footprint now spans eight major institutions across seven nations, including Sheba Medical Center (Israel), University Health Network (Canada), Mercy (US), Aga Khan University (Kenya), and Seoul National University Hospital (South Korea).
“Working with leading hospitals around the world, like Einstein Hospital Israelita, Mayo Clinic Platform is curating the world’s data and assembling the world’s innovators,” stated John Halamka, M.D., Dwight and Dian Diercks president, Mayo Clinic Platform. “By building a global health data network, we can accelerate the discovery, development and deployment of trusted AI-enabled solutions.” Incorporating South America’s leading hospital network into its federated architecture will enable Mayo Clinic to address the data diversity deficit that has historically limited international software deployment. Furthermore, establishing secure, multi-country validation pipelines creates an operational standard for how medical AI will clear global regulatory scrutiny.
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