Mayo Clinic and Mercy Launch 10-Year Data Collaboration
Mayo Clinic and Mercy have launched a 10-year data collaboration aimed at using large-scale de-identified clinical data to drive innovation. The alliance will focus on accelerating the development of new diagnostics, AI algorithms, and patient care models.
- The collaboration operates on the Mayo Clinic Platform_Connect, a distributed data network that allows the two health systems to analyze each other's de-identified patient data without data extraction or transfer. Each organization maintains full control over its own information in what is termed a "Data Behind Glass" approach. - This partnership combines data from over 15.2 million unique patients, creating a massive repository for analysis. The combined dataset includes 12.6 billion medical images, 3.2 billion lab results, and 10.1 million pathology reports, which aims to reduce the demographic bias often found in single-institution research. - Key executives overseeing this initiative include Dr. John Halamka, president of Mayo Clinic Platform, and Joe Kelly, executive vice president and chief transformation officer for Mercy. Mercy's chief data and AI officer, Byron Yount, highlighted that the platform enables insights that will help find diseases earlier and support more personalized care. - Mercy, one of the 15 largest health systems in the U.S., brings a diverse dataset from its 55 hospitals across midwestern urban and rural communities, complementing Mayo's expertise in complex care. This diversity is expected to improve the accuracy and reduce bias in the algorithms developed through the collaboration. - A primary goal is to accelerate the creation and validation of new AI algorithms and machine learning models that can predict disease and identify proven treatment paths based on millions of patient outcomes. These tools are intended to be integrated directly into clinical workflows. - This alliance is part of a broader trend of "platformization" in healthcare, where major academic medical centers like Mayo Clinic package their data, analytics, and operational knowledge into digital services for other health systems to use. - Beyond this specific partnership, Mayo Clinic is also actively collaborating with Microsoft Research to develop generative AI for radiology, initially focusing on automating chest X-ray reports and identifying changes from prior images. Mercy has independently deployed AI tools from Aidoc to help radiologists prioritize and analyze imaging studies across their system.
