ELADAIS: An Integrated Platform for High-Impact Clinical Data Extraction, Standardization and Advanced Analytics Using OMOP-CDM

Clinical data generated in healthcare systems is increasingly recognized as a key resource for biomedical research, healthcare optimization, and population health monitoring. However, its full potential remains underexploited due to fragmentation, heterogeneity, and lack of interoperability between data sources. The ELADAIS project addresses this challenge by designing, developing, and deploying a scalable, modular, and interoperable technological platform for the extraction, transformation, storage, and advanced analysis of high-impact clinical data. Grounded in the OMOP Common Data Model (OMOP-CDM), ELADAIS integrates a microservice-based architecture, analytical environments, workflow orchestration, and federated data capabilities. The platform will be deployed at two major hospitals in Madrid, Spain, with the expectation of standardizing access to over 1 million patient records and more than 19 million clinical events. This paper presents the architectural principles and expectations of ELADAIS, highlighting its potential to accelerate reproducible and collaborative clinical research.