To design a scalable data integration system that aggregates patient records, lab results, and clinical data into a centralized analytics platform for predictive healthcare insights while ensuring compliance with privacy and security standards.
Collect anonymized healthcare datasets.
Design data ingestion pipeline.
Implement ETL for data normalization.
Store data in distributed database.
Apply encryption for sensitive fields.
Build predictive analytics models.
Optimize storage performance.
Create dashboard for analytics visualization.
Implement role-based access control.
Perform data validation checks.
Conduct scalability testing.
Document compliance measures.
Prepare system performance report.
