RevealCS is a Healthcare Data Lakehouse solution that integrates and structures patient data from multiple EHRs, providing secure, near real-time access to comprehensive datasets. It empowers healthcare organizations to unlock the full potential of their data for advanced analytics, research, and operational improvements.
Vendor
Clearsense
Company Website



RevealCS
RevealCS is a Healthcare Data Lakehouse solution that integrates and structures patient data from multiple EHRs, providing secure, near real-time access to comprehensive datasets. It empowers healthcare organizations to unlock the full potential of their data for advanced analytics, research, and operational improvements. RevealCS accelerates insights, supports AI model training, and enables efficient clinical trial matching, helping health systems overcome data silos and improve scalability.
Features
- Healthcare Data Lakehouse architecture for unified, standardized data
- Integration of patient data from multiple EHR systems into a single platform
- Near real-time access to longitudinal patient records
- Pre-aggregated and standardized datasets for analytics and research
- AI model training with high-quality, preprocessed data
- Quality measure calculations and risk score computation
- Patient trend analysis and cohort discovery tools
- Flexible middleware solution compatible with existing tools (BYOT)
- Secure and scalable infrastructure for large healthcare organizations
Capabilities
- Enables advanced research through standardized clinical datasets
- Supports clinical trial matching and patient stratification
- Facilitates risk scoring and predictive analytics for population health
- Provides robust data foundation for quality measure tracking
- Overcomes data silos by aggregating disparate sources into one platform
- Scales to meet complex healthcare data requirements across large systems
- Integrates seamlessly with existing workflows and analytics tools
- Enhances interoperability for multi-system environments
Benefits
- Accelerates clinical trial matching, reducing cohort identification time from months to minutes
- Improves research scalability and efficiency by eliminating data fragmentation
- Enhances decision-making with near real-time access to comprehensive patient data
- Reduces operational delays caused by data access and integration challenges
- Unlocks new revenue opportunities through faster trial recruitment and grant expansion
- Strengthens compliance and security for sensitive healthcare data
- Supports innovation by enabling AI-driven insights and predictive modeling
- Provides a flexible, future-ready data platform for healthcare organizations