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OneMedNet Selects Palantir to Advance Healthcare AI and Data Analytics

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OneMedNet Corporation has selected Palantir Technologies  to transform the healthcare AI and Real-World Data (RWD) analytics marketplace. Palantir’s Artificial Intelligence Platform will provide the infrastructure for OneMedNet’s iRWD™ near real-time AI powered provider network (‘network’) enabling OneMedNet to empower life sciences, medical device, and research organizations with anonymized, regulatory-grade clinical data and advanced analytics to accelerate the development of cutting-edge medical solutions efficiently.

Palantir’s software will be used to advance OneMedNet’s mission to bring the most current data to life sciences organizations decreasing costs and time to market for novel healthcare solutions.

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“We’re proud to provide the AI infrastructure for OneMedNet to accelerate the delivery of transformative healthcare solutions that will ultimately improve patient outcomes,” said Drew Goldstein, Co-Head of Healthcare at Palantir.

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Aaron Green, President and CEO of OneMedNet, added, “Palantir’s AIP helps us revolutionize our ability to deliver high-quality, regulatory-compliant data at remarkable speed. This positions us to power breakthroughs in clinical research and AI-driven healthcare solutions.”

Impact of Palantirs Artificial Intelligence Platform

  • Faster Data Discovery: Customer data inquiries fulfilled in minutes instead of days, boosting OneMedNet’s ability to win orders with speed and precision.
  • Accurate Data Delivery: Customers will be able to create custom cohorts, ensuring every data element aligns with their fit-for-purpose needs and remains fully relevant to their studies.
  • Conversational Search: A new AI-powered interface, enabled by Palantir’s AIP and LLMs, allows subscribers to search, modify and zero in on the data they need across vast datasets.
  • Increased Productivity: Automation to improve OneMedNet’s efficiency and reduce costs, enabling scalable growth with improved margins.
  • Healthcare Standards Integration: Palantir’s ontology, paired with SNOMED, HCPCS, ICD-10, and CPT codes, ensures interoperable data access for life sciences users.
  • Anonymization: OneMedNet’s proprietary AI algorithms to operate at scale on Palantir’s advanced platform to securely de-identify clinical data, ensuring regulatory compliance and protecting against exposure of Protected Health Information (PHI).

 OneMedNet’s Objectives

  • Market Expansion: OneMedNet is expanding its market reach and independently broadening its global footprint to deliver enhanced value to its customer base.
  • Data Cohorts: Combining OneMedNet’s multimodal regulatory-grade data with Palantir’s AI platform to build regulatory grade data cohorts for use in diagnostics, therapeutics, and personalized medicine.
  • Clinical Research: Streamlining trials with multimodal, longitudinal data for faster, more cost-effective outcomes.
  • Scalable Analytics: Creating a secure platform for tailored, compliant datasets, leveraging OneMedNet’s real-time AI powered federated provider network and Palantir’s data expertise.

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[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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