The demand for real-world data (RWD) in life sciences research is on the rise, driven by the need for more personalized and effective healthcare solutions. From clinical development to post-market surveillance, researchers rely on diverse data sources to generate meaningful insights. However, accessing high-quality RWD remains a significant challenge due to fragmentation, complex privacy considerations, and inefficient feasibility assessment processes.

Traditionally, identifying the right dataset for a study involves a manual, time-intensive process that can take months. Compounding the problem, data purchases frequently result in mismatches between the acquired data and research needs—industry estimates suggest that up to 40% of data purchases are unsuccessful, leading to costly delays.

To tackle these challenges head-on, Datavant and Amazon Web Services (AWS) have joined forces to revolutionize the process, making data connectivity faster, more seamless, and more powerful than ever before. Leading the way in this transformation is OMNY Health, a pioneer in adopting a cloud-first strategy for RWD accessibility. Through this partnership, researchers will be able to accelerate feasibility assessment and ultimately reduce the time from data acquisition to actionable insights.

The Case for a Cloud-First Real-World Data Strategy

Traditional RWD feasibility analyses are inefficient and often yield suboptimal results and missed opportunities for breakthroughs: 

• Finding the right data sources requires researchers to engage multiple vendors and manually assess the utility of each dataset. 
• Researchers often struggle utilizing electronic health record (EHR) data, which is siloed across multiple systems, making interoperability and timely access difficult. 
• It can take months to find suitable data for studies.
• Even after purchase, data is often inconsistent, incomplete, or outdated. 

A cloud-first approach offers a solution by centralizing dataset exploration and streamlining feasibility analyses. With Datavant Connect powered by AWS Clean Rooms, research teams can identify and evaluate RWD from multiple sources, unlocking greater efficiency and accelerating time to insight. For data sources, Clean Rooms provide more visibility into how data is being evaluated. 

OMNY’s Cloud-First Approach: A Blueprint for Scalable, Flexible EHR Data Utilization

OMNY Health is a national data ecosystem encompassing more than 4 billion clinical notes from 500,000+ providers across 200+ specialties. OMNY’s data ecosystem reflects more than 8+ years of historical data and covers over 85 million patient lives.

With such robust, multimodal data, OMNY sought to make it easier for researchers to analyze feasibility and access the precise cuts of data for their specific use cases. Therefore, OMNY decided to register its entire dataset on AWS – embracing a cloud-first approach to enhance data discoverability and usability. This enables researchers to more quickly and accurately determine whether OMNY’s data aligns with their study needs.

Key Benefits of OMNY’s Cloud-First Approach

• Scalability: As a lean, growth-stage organization, OMNY requires scalable solutions to support generating, evaluating, and closing data purchase agreements with life sciences companies and other data consumers. By leveraging a cloud-first approach, OMNY accelerates each phase of data purchasing, fueling growth while maintaining operational efficiency.
• Flexibility: OMNY’s rich clinical dataset can answer deep research questions, in some cases as the primary data source and in other cases as a complementary data source to another primary dataset. By making its entire dataset available on AWS for evaluation, OMNY increases its chances of being discovered for a broader range of use cases. 
• Efficiency: With a faster and more streamlined data purchasing process on both sides of the ecosystem, OMNY more efficiently disqualifies opportunities that aren’t a strong fit — freeing its team to focus on targeted research questions that align with its data network and other high-value work that improves patient outcomes.

Real-World Impact: OMNY’s Work in Action

As an industry pioneer in making its entire dataset available for discovery on the cloud, OMNY offers life sciences teams rapid feedback on how its dataset aligns to their direct research needs. 

These recent examples showcase how OMNY’s rich, multimodal EHR data is driving meaningful insights for life sciences research:

Case Study 1: Unlocking Insights into IBD Treatment

Inflammatory bowel disease (IBD) treatment pathways are complex, with variations in therapy response and disease progression. OMNY’s research combined structured EHR data with unstructured physician notes to generate novel insights into patient outcomes. By leveraging multimodal data, researchers identified 7 distinct reasons for treatment alteration across 7 biologics.

Case Study 2: Understanding Healthcare Costs for GPP Flares

Generalized pustular psoriasis (GPP) flares can result in hospitalizations and significant healthcare costs. OMNY analyzed multimodal data, including unstructured clinical notes and claims data, to uncover hidden cost drivers and patterns in patient care. These insights are shaping cost-effective interventions and improving patient management strategies.

Get Involved: Experience the Future of RWD Access

By adopting a cloud-first approach, data sources and data consumers are revolutionizing real-world data access—accelerating insights, improving patient care, and shaping the future of life sciences research.

Ready to live at the forefront of cloud-first data strategy? 

• Limited spots are available in the Lighthouse Partner Program for early adopters to provide feedback to Datavant and AWS. Join the waitlist here. 
• Connect with OMNY Health at info@omnyhealth.com.
• Meet us at ISPOR 2025! Datavant will be presenting on cloud-first insights generation in the Exhibit Hall Theater on Thursday, May 15, at 10:15 am EST, and at Booth #1707.