Mayo Clinic Platform expands its distributed data network to globally transform patient care 

May 5, 2023 – Mayo Clinic Platform is expanding its distributed data network, Mayo Clinic Platform_Connect, to include Hospital Israelita Albert Einstein in Brazil, Sheba Medical Center in Israel and University Health Network in Canada, joining Mercy, Connect’s first member. The first-of-its-kind global alliance establishes a data-sharing network that transcends language barriers and accelerates AI-based solutions by using current data science and years of clinical data to create better patient outcomes around the world. 

Mayo Clinic Platform_Connect provides secure, cloud-based access to de-identified clinical data across three continents. Connect uses Mayo Clinic Platform’s proprietary Data Behind Glass approach that enables each organization to work with an extensive set of de-identified data without moving it among the organizations. Each health care system keeps control over its de-identified data throughout the process. 

Connect will add a number of additional U.S. and global members in the coming months. The collaboration’s success rests on each entity sharing its strengths. In joining Mayo Clinic and Mercy, Hospital Israelita Albert Einstein, Sheba Medical Center and UHN will contribute to AI models that overcome language barriers, using data from global populations across different geographies to improve accuracy, reduce model bias and create more diverse, and therefore stronger, treatment recommendations for patients. 

The alliance will initially focus on patient outcomes through: 

  • Information collaboration — Secure cloud-based use of Data Behind Glass allows each collaborator to base decisions on a wider range of clinical outcomes gathered over time. The information will help scientists analyze patterns of effective disease treatment and, more importantly, disease prevention in new ways, based on reviews of incremental clinical patient data over time.  
  • Solution and algorithm development, validation and deployment — The resulting AI-based solutions will provide proven treatment paths based on years of patient outcomes, representing the next generation of proactive and predictive medicine that can be used by care providers around the world. 

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