


OneMedNet Corporation (Nasdaq: ONMD), the world's largest provider of a compliant, AI-ready Real World Data (RWD) network, introduced its completely redesigned data discovery and cohort building platform with strong customer feedback at the ISPOR Europe event. The company will showcase this new platform at the RSNA event in Chicago.
Executives and scientists from global pharmaceutical companies, contract research organizations, and health technology firms attended live demonstrations at the ISPOR event. The feedback regarding the new user interface and enhanced discovery capabilities was highly positive, emphasizing the commercial necessity and competitive advantage of the platform. A senior executive from a leading evidence generation firm stated, "This is revolutionary — efforts that used to take days are now completed in minutes, with better accuracy as well."
Built on Palantir Foundry and AIP, this platform fundamentally rethinks the interaction of research teams with OneMedNet’s industry-leading iRWD™ network, which includes over 2,130 healthcare organizations, more than 47 million unique patients, and over 186 million clinical visits and images.
The key innovations offered by the platform include:
Aaron Green, President and CEO of OneMedNet, stated, "ISPOR momentum is a strong validation of the strategy we are executing." He added, "Customers can now define cohort discovery processes in minutes; this is made possible only by the scale, speed, and compliance of our iRWD™ network."
OneMedNet invites RSNA 2025 attendees to Booth #1742 in the South Hall for a live demonstration of the new platform.
OneMedNet is revolutionizing the potential of Real World Data (RWD) worldwide. Based on the data accessed through its iRWD™ platform across 2,130 healthcare facilities, this data provides a foundation for innovation, supporting advancements for pharmaceutical manufacturers, medical device pioneers, and AI visionaries.
Not only in healthcare, OneMedNet offers new possibilities for sectors like finance, retail, and telecom by anonymizing data. It enables meticulous testing for updates in manufacturing systems, mitigates risks in complex projects, and provides secure sharing of sensitive data by removing personal information.
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