A secure, cloud-based system for managing and processing healthcare data. The pipeline ensures data integrity, accessibility, and compliance with regulatory requirements.
Manufactured by
Egypt
Brightskies is an Egyptian digital transformation company founded in 2012 with over 400 employees across three continents. The company specializes in high-performance computing, automotive embedded systems, and enterprise solutions, serving more than 50 global clients across ten industries. Brightskies develops image-guided surgical-navigation platforms, artificial intelligence-driven radiology workflows, and secure cloud-native data pipelines for the healthcare sector. The company provides turnkey engineering, managed services, and strategic consulting for HPC cluster design and deployment, GPU-scale artificial intelligence implementation, and predictive analytics integration. Brightskies holds partnerships with major technology providers including AWS and NVIDIA, and operates offices in Egypt, Germany, United Arab Emirates, and Saudi Arabia. The company combines embedded systems expertise with advanced artificial intelligence capabilities to deliver production-ready solutions across automotive, high-performance computing, and healthcare technology sectors.
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3 of 118 closest product alternatives
Thesaurus Health · United States
Healthcare data engineering service that transforms clinical datasets into OMOP Common Data Model format for research and analytics. Includes ETL pipeline development, terminology mapping, data validation, and ongoing technical support. Enables standardized data interoperability across healthcare organizations and research networks.
PEOPLE AND TECHNOLOGY · South Korea
A flexible cloud-based platform supporting on-premise, public, or private cloud deployment for healthcare organizations. The platform enables bi-directional integration with external healthcare systems while ensuring data protection and access control.
GE Healthcare · Brazil
Secure cloud infrastructure for storing, accessing, and sharing patient data and imaging studies, enabling interoperability and data accessibility.
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