Faculty, Staff and Student Publications
Language
English
Publication Date
1-1-2026
Journal
npj Health Systems
DOI
10.1038/s44401-026-00068-1
PMID
41710561
PMCID
PMC12909107
PubMedCentral® Posted Date
2-16-2026
PubMedCentral® Full Text Version
Post-print
Abstract
Artificial intelligence (AI) holds promise for healthcare, but real-world implementation remains difficult. The Mayo clinic platform (MCP) addresses this by providing scalable, multi-institutional, de-identified data and analytical tools. Through four research projects, we demonstrate MCP's ability to support efficient cohort identification, AI model development, and real-world evidence generation. MCP enables broader accessibility and standardization compared to institutional EHRs, positioning it as a powerful platform for advancing translational research and precision medicine.
Keywords
Business and industry, Computational biology and bioinformatics, Health care, Medical research, Scientific community
Published Open-Access
yes
Recommended Citation
Yu, Yue; Hu, Xinyue; Rajaganapathy, Sivaraman; et al., "Accelerating AI Innovation in Healthcare: Real-World Clinical Research Applications on the Mayo Clinic Platform" (2026). Faculty, Staff and Student Publications. 881.
https://digitalcommons.library.tmc.edu/uthshis_docs/881