Mayo Clinic Platform’s Federated Data Network Using OMOP Oncology Model

Launched in 2025, Mayo Clinic Platform_Orchestrate offers researchers access to Mayo Clinic Platform’s real-world data and AI tools. Orchestrate is now using Observational Medical Outcomes Partnership (OMOP) Oncology to organize complex cancer information.

The new function can present de-identified data in a consistent, structured and research-ready format. This includes standardized information such as tumor characteristics, biomarkers, staging, treatments, progression and outcomes.

These key oncology attributes are refined from a rich background of structured data (e.g., diagnoses, lab test results) and unstructured data (e.g., imaging, pathology and radiology reports) already integrated on Mayo Clinic Platform to enable better clinical insights and research.

The OMOP Oncology model is a product of the global Observational Health Data Sciences and Informatics (OHDSI) initiative. The model's standardized structure allows researchers to analyze complex cancer data more rapidly, accurately and on a larger scale than before.

"The integration of OMOP Oncology into Mayo Clinic Platform has the power to accelerate discovery, improve clinical trial design, unlock real-world insights and support the development of next-generation therapies for patients worldwide," said Elisabeth Heath, M.D., chair of the Department of Oncology at Mayo Clinic, in a statement. 

Research and technology service provider Nemesis Health contributed to the development of OMOP Oncology capabilities on Orchestrate.

This year, Mayo Clinic Platform will also incorporate tokenization, a technology that connects de-identified information from across a patient's care experience to provide a more complete, longitudinal view of their healthcare journey. Combined with the OMOP Oncology model, this will give researchers a more comprehensive understanding of a patient's cancer care pathway before, during and after their care at Mayo Clinic, the organization said. 

"Orchestrate strengthens Mayo Clinic's commitment to advancing cancer care through data-driven innovation," says Maneesh Goyal, chief operating officer of Mayo Clinic Platform, in a statement. "By combining trusted data, advanced artificial intelligence and Mayo Clinic’s scientific expertise, these capabilities help unlock deeper insights, accelerate research and ultimately, bring new therapies to patients faster.”

The new capabilities will make it more efficient for researchers to access standardized, real-world cancer data from Mayo Clinic and participating Mayo Clinic Platform_Connect partners.

Mayo Clinic Platform_Connect is a distributed data network that provides secure access to de-identified clinical data. Current data network partners include Mercy, Seoul National University Hospital, Sheba Medical Center, University Health Network (UHN), Einstein Israelite Hospital and Aga Khan Health Services.