Data intelligence
Unify and analyze real-world and research data at scale with generative AI. Our data intelligence offerings empower life sciences, pharmaceutical, and academic research teams to accelerate discovery, gain actionable insights, streamline regulatory compliance, and support patient impact—all in a secure, cloud native environment.
Data intelligence solutions
Unlock actionable insights and speed innovation by securely connecting and interpreting research and real-world data.
Accelerate evidence generation
Research data platform
Oracle Life Sciences AI Data Platform leverages Oracle Health Real-World Data—encompassing more than 123 million* de-identified patient records—to deliver secure, cloud native insights that help accelerate research and evidence generation across the study lifecycle.
Key capabilities include:
- Exploring research questions in natural language: Build analytic models and AI agents and quickly access clinically relevant insights while minimizing data wrangling.
- Strengthening study design and recruitment: Discover cohorts, identify high-performing sites, and streamline patient recruitment to promote study feasibility.
- Enhancing safety monitoring: Advance signal detection, automate case narratives, and monitor safety in near real time to enable early identification of potential risks.
- Supporting market access: Inform Health Economics and Outcomes Research (HEOR), value demonstration, and reimbursement with integrated analytics to help drive product adoption.
- Facilitating compliance and security: Leverage a scalable, cloud native environment on Oracle Cloud Infrastructure (OCI) with privacy-first governance and full regulatory support to help safeguard sensitive data and maintain audit readiness.
Advance breakthrough discoveries
Research data platform
Oracle Life Sciences AI Data Platform leverages Oracle Health Real-World Data—encompassing more than 123 million* de-identified patient records—to deliver secure, cloud native insights that help accelerate research and evidence generation across the study lifecycle.
Key capabilities include:
- Unifying real-world and research data: Harmonize diverse data sources in a common clinical model to support large-scale, population-level analyses.
- Enabling natural-language exploration: Use intuitive questions to create analytic models, develop AI agents, and surface clinically relevant insights.
- Optimizing study feasibility and protocols: Assess inclusion/exclusion criteria, identify key variables, and streamline recruitment for efficient study planning.
- Creating reusable, shareable data sets: Map study variables and generate study-ready data sets with embedded ontologies and governance for collaboration and reproducibility.
- Applying advanced analytics in a secure, collaborative environment: Leverage statistical and machine learning (ML) tools on Oracle Cloud Infrastructure (OCI) with privacy-first governance and regulatory compliance to extract actionable insights while helping safeguard sensitive patient information.
*Data pulled from Oracle Health AI Data Platform and current as of August 2025.