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OneMedNet Adds Leading Hospital System Provider Network, Expanding By Up to 12 Hospitals

The partnership adds patient records spanning diagnosis, treatment and follow-up to OneMedNet’s direct-from-source data network.

Sentiment and the balance of points

Rhea-AI Sentiment reads the wording of the document, how positive or negative its language is on a 1 to 5 scale. The balance of points shown with the takes weighs what the document actually discloses, so the two can disagree, for example when a trial that missed its main goal is described in upbeat language.

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OneMedNet (ONMD) added a hospital system to its iRWD platform and provider network, with further hospital additions expected under the partnership.

The company expects the network to expand by up to 12 additional hospitals. The partnership adds direct access to medical imaging, clinical reports and associated healthcare data covering patients from diagnosis through treatment and follow-up. OneMedNet expects the expanded network to support AI model development, training and validation, as well as evidence used in regulatory submissions and clinical research. The hospital system was not named.

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1 point · 0 major

How this balance works

Rhea-AI gives every point it takes from this document a weight. Minor counts 1, Moderate 3 and Major 9, so one Major point outweighs several Minor ones. The bar adds up the weights on each side, and when neither side holds more than 65% of the total the balance reads Mixed.

It reads the document as published, with the same rules for every company, and it does not look at what the market expected or at how the stock traded, so a point can be objectively good on a day the stock falls.

Rhea-AI Sentiment measures something else, the tone of the wording.

0 major · 0 points

Hollow bars mark forward-looking points. How the balance works

Positive

  • Moderate point. Forward-looking: it has not happened yet and may not happen.Hospital system added to iRWD platform and provider network; OneMedNet expects expansion by up to 12 additional hospitals.

Negative

  • None.

Key Figures

Potential hospital additions: Up to 12 hospitals
Potential hospital additions
Up to 12 hospitals
Expected expansion of the iRWD platform and federated provider network

Key Terms

real-world data, real-world evidence, post-market surveillance
3 terms
real-world data medical
"regulatory decision-grade, AI-driven Real-World Data (RWD)"
Real-world data consists of information collected from everyday sources outside of controlled experiments or official reports, such as patient records, insurance claims, or wearable device readings. For investors, it provides a more complete picture of how products and services perform in actual use, helping them make better-informed decisions based on how things work in real life rather than just in theory or controlled settings.
real-world evidence medical
"Real-World Evidence (RWE) that supports regulatory submissions"
Real-world evidence is information gathered from everyday sources like patient records, insurance claims, or everyday experiences, rather than controlled experiments or clinical trials. It helps investors understand how products or policies perform in real life, providing a more complete picture of their effectiveness and value beyond official tests. This type of evidence can influence decision-making by offering insights based on actual, everyday outcomes.
post-market surveillance regulatory
"regulatory submissions, post-market surveillance, clinical research"
Post-market surveillance is the ongoing monitoring of a product’s safety and performance after it has been approved and sold, especially for drugs and medical devices. Like watching cars after they leave the showroom to catch hidden defects, it matters to investors because problems discovered later can trigger recalls, regulatory fines, extra testing, or damaged reputation — all of which can reduce future sales and hurt a company’s financial outlook.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Direct-from-Source Access Deepens Longitudinal Clinical Records, Strengthening OneMedNet's Position as a Preferred Source of Regulatory-Grade, AI-Ready Real-World Data

MINNEAPOLIS, Oct. 15, 2026 (GLOBE NEWSWIRE) -- OneMedNet Corporation (Nasdaq: ONMD) (“OneMedNet,” the “Company,” “we,” “us” or “our”), a leading provider of First-Party (Direct-from-Source) regulatory decision-grade, AI-driven Real-World Data (RWD), today announced the addition of a leading hospital system to its iRWD™ platform and federated provider network and expects to expand the network by up to 12 additional hospitals. The new partnership meaningfully expands both the scale and more importantly clinical depth of OneMedNet’s healthcare data network.

This expansion provides first party, direct-from-source delivering multimodal medical imaging, rich clinical reports, and associated healthcare data spanning the full continuum of care across all therapy areas. By capturing complete patient journeys over time—from initial diagnosis through treatment and follow-up—OneMedNet continues to build the longitudinal depth that AI developers, life sciences companies, and medical device innovators require.

“Every expansion of our network strengthens what we believe is OneMedNet’s core differentiator: the depth and completeness of our longitudinal patient data, delivered as fully de-identified, regulatory-grade datasets through our secure federated network of live source data,” said Aaron Green, CEO & President of OneMedNet. “Direct-from-source environments give us a quality and richness of data that aggregated sources can’t replicate. We believe that depth is what fuels meaningful AI innovation and robust Real-World Evidence at the speed, scale, and quality modern healthcare demands and it continues to expand our pipeline as we build OneMedNet’s position as a preferred provider of regulatory-grade datasets.”

The expanded network is expected to directly support OneMedNet’s role in advancing healthcare innovation on two fronts. First, the Company’s regulatory-grade, AI-ready data fuels AI innovation, including the development, training, and validation of foundational AI models and clinical algorithms that depend on high-quality, diverse, and deeply annotated healthcare data building on the Company’s recently announced agreement to supply data for foundational AI model development. Second, the Company’s longitudinal Real-World Data enables the generation of Real-World Evidence (RWE) that supports regulatory submissions, post-market surveillance, clinical research, and market access decisions across the life sciences and medical device industries.

About OneMedNet Corporation

OneMedNet Corporation is revolutionizing Real-World Data (RWD) through its iRWD™ platform, delivering regulatory decision-grade, AI-ready datasets that include de-identified medical imaging alongside comprehensive clinical records. With a network spanning more than 2,300 sites and encompassing over 90 million patient journeys and 270 million studies, OneMedNet serves life sciences companies, medical device manufacturers, AI developers, and other innovators seeking high-quality, compliant healthcare data. The Company’s platform supports applications ranging from drug development and regulatory submissions to foundational AI model training.

Learn more at www.onemednet.com.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. All statements other than statements of historical facts contained in this press release are forward-looking statements. These statements include, but are not limited to, statements regarding our recent partnership with the announced hospital system, including its benefits and affects on our network, and the general demand for our products, our ability to achieve our operational strategies, our expected growth in the business and statements generally about our products, plans and strategies.

Forward-looking statements are based on information available at the time those statements are made and were based on current expectations as well as the beliefs and assumptions of management as of that time with respect to future events. These statements are subject to risks and uncertainties, many of which involve factors or circumstances that are beyond our control. These risks and uncertainties include, but are not limited to: our ability to change the direction of OneMedNet; our ability to keep pace with new technology and changing market needs; the competitive environment of our business; risks inherent with investing in Digital Assets, including Digital Asset’s volatility; our ability to implement our Digital Asset treasury strategy and its effects on our business; and the other risks described in our most recent Annual Report on Form 10-K and our subsequent filings with the Securities and Exchange Commission. Except as required by law, we do not undertake any obligation to publicly update or revise any forward-looking statement, whether as a result of new information, future developments, or otherwise.

OneMedNet Contacts:

Michael Wong, VP Marketing

Email: michael.wong@onemednet.com

SOURCE: ONEMEDNET CORPORATION


FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

How many hospitals does OneMedNet expect to add through its new hospital system partnership?

OneMedNet expects its provider network to expand by up to 12 additional hospitals. The hospital system has been added to its iRWD platform and provider network; the additional hospital count remains an expectation, not a completed expansion.

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