Healthcare Data Lakehouse
RevealCS is a Healthcare Data Lakehouse that integrates and structures patient data from multiple EHRs, giving users secure, real-time access to comprehensive datasets for faster insights and better outcomes.
Better clinical and
financial outcomes
BYOT-Enabled. Limitless insights.
Our Bring Your Own Technology (BYOT) approach unlocks advanced capabilities, including:
- Artificial Intelligence (AI) Model Training
Refine AI models faster with high-quality, preprocessed data, eliminating the burden of preparing disparate data sources. - Quality Measure Calculations
Assess and track healthcare quality metrics using your own tools, with a robust, ready-to-use data foundation. - Patient Trend Analysis
Identify and monitor patient trends to make informed decisions, supported by standardized, aggregated data. - Risk Score Calculation
Leverage pre-aggregated, standardized data to accurately calculate risk scores and focus on deriving insights your way.

Powerful
middleware solution
Scalable platform with limitless applications
We are also developing a portfolio of available software modules that layer onto the healthcare data lakehouse.
Here are some example use cases in clinical trial research:
Research Enablement
Empower researchers with standardized clinical datasets and advanced tools, offering access to high-quality patient data that supports robust study designs and faster results.
Clinical Trial Matching
Stratify, identify and match patients to trials using medical history and health data, improving recruitment and unlocking new revenue from grants and pharma partnerships.
Overcome
barriers to
clinical trial
matching
RevealCS addresses key research challenges, from delayed patient matching to data silos, empowering faster cohort discovery and increasing grants and pharma revenue.
Delayed cohort discovery
Traditional research methods can slow patient cohort discovery, delaying trials and pharma revenue.
Disparate data sources
Patient data scattered across multiple platforms creates inefficiencies, delaying patient matching and clinical trial approval.
Data access delays
Delayed access to required data slows the clinical matching process.
Limited research scalability
Research projects often struggle to scale due to fragmented data and platform limitations.

Unlock the Power of a Healthcare Data Lakehouse
RevealCS transforms how users access, analyze, and leverage patient data by providing a secure, scalable Healthcare Data Lakehouse.

Accelerate clinical trial matching
RevealCS reduces the time to identify patient cohorts from months to minutes, enabling faster, more efficient clinical trial matching and grant expansion.
Near real-time data access
Gain near real-time access to longitudinal patient data, allowing researchers to make clinical trial matching more efficient.
Flexible middleware solution
RevealCS offers a flexible middleware solution that integrates with your existing tools (BYOT), enabling seamless scalability.
Unified access to disparate data
RevealCS unifies data from multiple platforms and EHRs into one streamlined view, allowing researchers to efficiently access and analyze necessary patient information.
Increased access to grants + pharma revenue
RevealCS accelerates clinical trials by streamlining patient matching, improving data access, and increasing opportunities for grants and pharma revenue.
Enhanced security + compliance
RevealCS ensures data security with advanced compliance standards, including HITRUST and SOC 2 Type 2 certifications, safeguarding sensitive research data.
With Clearsense, we can now assimilate data from multiple sources, create a holistic view of the data for 7.5 million patients, improving opportunities for increasing health incomes and grants.
—LARGE ACADEMIC MEDICAL HOSPITAL SYSTEM
FAQs
Discover answers to common questions about RevealCS, our research enablement solution that accelerates research and improves patient cohort discovery.
What is clinical trial matching, and why is it important?
Clinical trial matching involves identifying patient cohorts that meet specific criteria for clinical studies. It is crucial for accelerating research timelines, improving trial accuracy, and driving better clinical outcomes by ensuring the right patients are enrolled in trials.
How does RevealCS accelerate patient cohort discovery?
RevealCS accelerates patient cohort discovery by providing near real-time access to unified data from multiple EHRs. Researchers can quickly identify suitable patients, reducing the time needed from months to minutes, speeding up the clinical trial matching process.
How does RevealCS ensure data integrity during clinical trial matching?
RevealCS validates the patient research source data with the evaluation data, ensuring accuracy and reliability for the patient matching process. This guarantees high-quality data integrity during clinical trial matching, improving research outcomes.
Can RevealCS integrate data from multiple EHRs for clinical trials?
Yes, RevealCS integrates data from multiple EHRs and disparate data sources, consolidating it into a unified, patient-centric solution. This makes it easier to analyze patient information and match cohorts effectively for clinical trials.
How does RevealCS improve ROI from clinical trials and research initiatives?
By streamlining patient cohort matching and providing rapid access to data, RevealCS reduces trial timelines, minimizes operational costs, and enables faster, more effective clinical research, leading to an increased rate of clinical trial expansion.