The expanded network aims to accelerate development of foundational AI models and clinical algorithms by leveraging high-quality, diverse data, while enabling Real-World Evidence (RWE) for regulatory submissions, post-market surveillance, and market access decisions.

Media inquiries can be directed to Michael Wong, VP Marketing.

Forward-looking statements are subject to risks, including technology shifts, competitive pressures, and regulatory considerations.

OneMedNet positions itself as a provider of regulatory-grade, AI-ready datasets within a federated, de-identified data environment.

The company highlights a broad footprint: a network spanning over 2,300 sites, more than 90 million patient journeys, and 270 million studies.

Expansion broadens data scope to include multimodal medical imaging, rich clinical reports, and longitudinal patient journeys across all therapy areas.

OneMedNet announces the addition of a leading hospital system to its iRWD platform and federated provider network, with plans to expand by up to 12 more hospitals.

CEO Aaron Green emphasizes that direct-from-source data provides deeper, more complete datasets than aggregated sources, fueling AI innovation and regulatory-grade Real-World Data (RWD).

The press release references a recent agreement to supply data for foundational AI model development.