Oracle Life Sciences AI Data Platform

Oracle Life Sciences AI Data Platform is a cloud-native research data platform designed for pharmaceutical companies, life sciences organizations, and academic research institutes. It uses generative AI to unify and analyze real-world and research data at scale, supporting activities across the study lifecycle including discovery, evidence generation, safety monitoring, and regulatory compliance.

The platform draws on Oracle Health Real-World Data, which encompasses more than 129 million de-identified patient records, and runs on Oracle Cloud Infrastructure (OCI) with privacy-first governance and full regulatory support.

Capabilities for Pharmaceutical Organizations

• Natural-language research exploration: Supports building analytic models and AI agents using natural-language queries to access clinically relevant insights while reducing data wrangling.
• Study design and recruitment: Enables cohort discovery, identification of high-performing sites, and streamlined patient recruitment to support study feasibility.
• Safety monitoring: Supports signal detection, automates case narratives, and monitors safety in near real time to allow early identification of potential risks.
• Market access support: Provides integrated analytics to inform Health Economics and Outcomes Research (HEOR), value demonstration, and reimbursement strategies.
• Compliance and security: Operates within a scalable, cloud-native environment on OCI with privacy-first governance, audit readiness, and regulatory support for handling sensitive data.

Capabilities for Research Institutes

• Data unification: Harmonizes diverse real-world and research data sources into a common clinical model to support large-scale, population-level analyses.
• Natural-language exploration: Allows researchers to use intuitive questions to create analytic models, develop AI agents, and surface clinically relevant insights.
• Study feasibility and protocol optimization: Supports assessment of inclusion and exclusion criteria, identification of key variables, and streamlined recruitment for efficient study planning.
• Reusable and shareable data sets: Enables mapping of study variables and generation of study-ready data sets with embedded ontologies and governance to support collaboration and reproducibility.
• Advanced analytics: Provides access to statistical and machine learning tools within a secure, collaborative environment on OCI, with privacy-first governance and regulatory compliance.

The platform is deployed on Oracle Cloud Infrastructure and is designed to support both pharmaceutical and academic research workflows within a single, governed environment. It integrates Oracle Health Real-World Data and is built to maintain audit readiness and regulatory compliance throughout the research process.