As the demand for high-quality real-world data (RWD) accelerates across the life sciences industry, so too does the urgency to solve the persistent friction in data discovery, access, and evaluation. Fragmented data ecosystems, security concerns, and complex compliance requirements often slow the path to generating real-world evidence (RWE), delaying insights that drive innovation and impact patient outcomes.

With Datavant Connect powered by AWS Clean Rooms, organizations like OneMedNet are helping reshape how RWD is accessed and evaluated. By integrating their multimodal clinical data, medical imaging and electronic medical record (EMR) datasets into this cloud-first platform, OneMedNet is making it easier for researchers to discover, assess, and contract for high-integrity data—without the need for data movement.

"Much of today’s healthcare data remains inaccessible to researchers due to complexity and interoperability issues," said Aaron Green, CEO of OneMedNet. "Datavant Connect powered by AWS Clean Rooms effectively removes these barriers, positioning OneMedNet as an indispensable partner for organizations aiming to fully harness the valuable insights from healthcare data."

Advancing Data Accessibility Without Compromising Control

OneMedNet, alongside Datavant and AWS, is committed to enabling secure, scalable data interoperability. Their iRWD™ platform already leverages AWS’s infrastructure and Datavant’s privacy-preserving connectivity to deliver curated, de-identified datasets at scale. By adopting Datavant Connect powered by AWS Clean Rooms, OneMedNet is anchoring the RWD to RWE pipeline by offering life sciences researchers a seamless way to access near real-time multimodal longitudinal patient data.

The model is simple, but transformative: OneMedNet registers their datasets in Datavant Connect by creating a Glue table and schema in their own AWS environment. This establishes a live, federated connection to their native S3 storage—allowing researchers to run queries and explore data within AWS Clean Rooms, without any underlying data movement or duplication.

For data sources like OneMedNet, this removes the operational burden of data replication or manual updates. For data consumers, it unlocks a faster, more efficient way to evaluate data assets in a secure, governed environment.

Meeting the Needs of Life Sciences Researchers

The OneMedNet dataset brings unique value to researchers seeking more complete, longitudinal, and multimodal patient views. With access to over 1,750 healthcare sites, OneMedNet combines de-identified imaging data and EMRs into unified datasets that can be custom curated to meet study-specific inclusion and exclusion criteria.

This supports a wide range of life sciences personas and use cases, including:

• Clinical development and RWD teams who need access to high-quality patient-level data for feasibility, protocol design, and regulatory submissions.
• HEOR teams looking to analyze treatment patterns, outcomes, and cost-of-care across populations.
• AI and data science teams who require large-scale, labeled datasets (including imaging) for training and validation.
• RWE teams who need both retrospective and prospective data collection to generate evidence across the development lifecycle, from early discovery through post-market surveillance.

Curated Data Without the Cleanup

One of the most time-consuming aspects of evidence generation is data curation—filtering, harmonizing, and aligning variables to study protocols. OneMedNet addresses this challenge directly by delivering regulatory-grade datasets curated to precise cohort specifications, dramatically reducing the life science effort required to prepare data for analysis.

This not only reduces the time to insight, it also helps de-risk the regulatory path by ensuring consistency, traceability, and adherence to regulatory compliance from data sourcing to final delivery. 

The data remains in the original environment allowing researchers to trust that what they’re querying reflects the most up-to-date records available—no need to wait for periodic refreshes or worry about outdated extracts.

Streamlining the Procurement Journey

Traditionally, sourcing fit-for-purpose RWD can involve months of back-and-forth between discovery, feasibility assessments, contracting, and data transfer. Datavant Connect powered by AWS Clean Rooms is changing that by creating a unified experience for:

• Discovering multiple RWD assets across providers.
• Evaluating cohorts using advanced queries.
• Contracting more efficiently through AWS Marketplace integrations.
• Querying live data assets in a privacy-preserving Clean Room.

For AWS Life Sciences customers, the opportunity to reduce overall buy-down costs with AWS and accelerate procurement timelines with OneMedNet has the potential to be a true industry game changer.

A Scalable Model for Smarter Evidence Generation

As the volume and variety of healthcare data continues to grow, so does the complexity of generating evidence that meets both scientific and regulatory standards. The Datavant Connect platform provides a scalable, interoperable layer for bringing these assets together, and ensures that the most fit-for-purpose datasets are accessible to researchers at the point of need.

With OneMedNet’s participation, life sciences organizations now have access to:

• Federated, real-time query capabilities.
• Longitudinal, multimodal datasets combining imaging and EMR.
• Curated, cohort-specific datasets ready for analysis.
• Support for both retrospective and prospective research designs.

By reducing technical overhead, improving data discoverability, and eliminating barriers to secure access, OneMedNet is helping accelerate the development of safer, more effective modalities, software, AI solutions and therapies—while empowering researchers with the tools and data they need to move faster with confidence.

Learn more about OneMedNet here.