OneMedNet teams up with Datavant to deliver AI-powered, tokenized real-world data

OneMedNet is collaborating with Datavant to expand access to tokenized real-world data (RWD) for use in life sciences and medical research. By integrating OneMedNet’s patient data network with Datavant’s ecosystem, the collaboration is intended to improve data connectivity, streamline discovery, and support research efforts in healthcare.

OneMedNet, a provider of AI-powered RWD, has announced a partnership with Datavant, a health data platform. This partnership will integrate OneMedNet’s network, which includes data from 31 million patients and over 121 million clinical studies, with electronic medical insights including images, ECGs, and clinical notes, into Datavant’s ecosystem of more than 300 RWD partners. The integration aims to support life sciences companies in analyzing disease-specific patient data to improve understanding of treatment pathways and health outcomes.

“Linking healthcare data securely unlocks transformative potential for researchers,” said Aaron Green, CEO of OneMedNet. “Cross-referencing our data with existing datasets through the Datavant ecosystem confirms its unique value, ensuring it’s additive, non-redundant, and cost-effective.”

By incorporating OneMedNet’s patient tokens into Datavant’s infrastructure, researchers can improve longitudinal data visibility and connectivity. This approach may facilitate more efficient data discovery, contributing to the advancement of medical research and evidence-based treatment decisions.

OneMedNet’s iRWD™ platform, comprising RWD data from over 1400 healthcare system and provider sites, provides insights across therapeutic areas such as oncology, cardiology, and rare diseases. By offering de-identified and diverse clinical data types, including electronic health records, EEGs, prescriptions, physician notes, laboratory results, and uniquely, medical imaging, it supports research and development in pharmaceuticals, medical devices, and AI-driven healthcare solutions.

“This collaboration... will accelerate the ability of organizations to advance evidence-based solutions and access critical patient-level insights, all while safeguarding privacy,” Green added.