Core Insights - OneMedNet Corporation has partnered with Palantir Technologies to enhance the healthcare AI and Real-World Data analytics marketplace, utilizing Palantir's Artificial Intelligence Platform to support OneMedNet's iRWD™ near real-time AI powered provider network [1][2][4] Group 1: Partnership and Technology - The multi-year agreement allows Palantir's AI Platform to integrate with OneMedNet's network, which includes access to over 5 billion administrative claims and 131 million clinical exams from more than 1,750 provider sites [3] - Palantir's software aims to reduce costs and time to market for healthcare solutions, thereby improving patient outcomes [4][5] Group 2: Market Opportunity - Access to healthcare data is identified as a significant barrier to unlocking the projected $868 billion market opportunity in AI-driven healthcare by 2030 [2] - OneMedNet is positioned to leverage Palantir's advanced analytics to create scalable recurring revenue opportunities on a secure, regulatory-grade platform [2] Group 3: Operational Enhancements - The partnership will enable faster data discovery, allowing customer inquiries to be fulfilled in minutes, thus enhancing OneMedNet's competitive edge [9] - Features such as accurate data delivery, conversational search, and increased productivity through automation are expected to improve operational efficiency and reduce costs [9] Group 4: Data Security and Compliance - OneMedNet's proprietary AI algorithms will ensure the secure anonymization of clinical data, maintaining regulatory compliance and protecting against exposure of Protected Health Information (PHI) [9] - The integration of healthcare standards with Palantir's ontology will facilitate interoperable data access for life sciences users [9] Group 5: Broader Applications - Beyond healthcare, OneMedNet's AI capabilities are applicable in industries like finance, retail, and telecom, showcasing the versatility of its data anonymization technology [11]
OneMedNet Selects Palantir to Advance Healthcare AI and Data Analytics