Access to healthcare data remains a barrier to AI-driven clinical research, with companies seeking ways to aggregate and analyze patient information while maintaining regulatory compliance. OneMedNet Corporation has selected Palantir Technologies to provide AI infrastructure for its real-world data analytics platform.
Key Points
- OneMedNet signed a multi-year agreement with Palantir to integrate Palantir’s Artificial Intelligence Platform with OneMedNet’s iRWD provider network, which claims access to more than 5 billion administrative claims and 131 million clinical exams across 1,750+ provider sites. The network spans oncology, cardiology, and rare diseases.
- The partnership aims to reduce data inquiry response times from days to minutes through automated search capabilities. Palantir’s platform will enable conversational search using large language models, allowing users to query datasets through natural language interfaces.
- OneMedNet plans to use Palantir’s infrastructure for data anonymization at scale, combining its proprietary AI algorithms with Palantir’s platform to de-identify clinical data for regulatory compliance. The system is designed to integrate with healthcare standards including SNOMED, HCPCS, ICD-10, and CPT codes.
- Beyond healthcare applications, OneMedNet indicates its AI anonymization technology serves other industries including finance, retail, and telecom for testing production systems and sharing sensitive data with personal information removed.
The partnership targets pharmaceutical companies, medical device manufacturers, and research organizations seeking regulatory-grade clinical datasets for what the companies describe as faster, more cost-effective research outcomes.
The Data
- OneMedNet’s network provides access to more than 5 billion administrative claims and 131 million clinical exams across more than 1,750 provider sites, though the announcement does not specify how these sites are distributed geographically or by institution type.
- The companies reference an $868 billion market opportunity in AI-driven healthcare by 2030 based on a Strategy& PwC report.
- The partnership announcement did not disclose financial terms of the multi-year agreement, specific timeline milestones, or expected revenue impacts for either company.
- No clinical validation data or peer-reviewed evidence was provided regarding the effectiveness of the combined platform for accelerating drug development or improving research outcomes.
Industry Context
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.
Aaron Green, President and CEO of OneMedNet
The healthcare industry faces challenges in aggregating disparate patient data sources while maintaining privacy compliance under regulations like HIPAA. OneMedNet’s platform attempts to address this by creating a federated network of healthcare providers willing to share de-identified clinical information, including medical imaging and electronic health records, for research purposes.
Palantir’s AI platform brings data integration and analytics capabilities developed initially for government and commercial enterprise use cases. The system uses ontology frameworks to standardize healthcare data across different coding systems, theoretically allowing researchers to build custom patient cohorts that match specific study criteria without accessing protected health information directly.
The companies describe the combined offering as enabling “near real-time” data access, though the announcement does not specify what constitutes real-time or how this compares to existing research data aggregation methods. OneMedNet indicates its network spans multiple therapeutic areas including rare diseases, which often face particular challenges in patient recruitment for clinical studies due to small patient populations.
The forward-looking statements in the recent partnership announcement acknowledge risks including the platforms’ ability to satisfy customers, software reliability, and the potential for contract modifications or terminations.
