AI TOOL PROFILE
Clearsense Review: Health Data Archiving and Lakehouse Platform
- Healthcare
- Data Management
- Healthcare Organizations
- Hospital Systems
- Enterprise Healthcare IT Departments
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Healthcare Organizations, Hospital Systems, Enterprise Healthcare IT Departments
- Key use cases
- Legacy Application Decommissioning, Clinical Trial Matching, M&A Data Integration, Patient Cohort Discovery
- Official website
- Visit clearsense official website
How AI is used
Clearsense is a data enablement platform designed for the healthcare sector. It offers two primary solutions: ReviveCS, which focuses on active data archiving and application decommissioning, and RevealCS, which serves as a healthcare data lakehouse for research and analytics.
The platform is built for large-scale healthcare environments, such as hospitals and medical practices, where disparate data across multiple Electronic Health Records (EHRs) can create operational inefficiencies. It is designed to help organizations move historical data into a secure, accessible format while retiring outdated software.
Buyers can use the tool to support clinical trial matching and patient cohort discovery through near real-time data access. The platform also supports a "Bring Your Own Technology" (BYOT) approach, allowing teams to use their own tools for AI model training and quality measure calculations.
Before choosing this platform, buyers should confirm that the technical requirements align with their existing IT infrastructure, as the tool is designed for enterprise-level healthcare organizations.
Key Features
Active Data Archiving
Supports the migration of historical data from legacy systems into a secure archive to allow for application decommissioning.
Unified Patient View
Combines patient data from multiple sources and EHRs into a single, patient-centric view accessible within the clinical workflow.
Healthcare Data Lakehouse
Provides near real-time access to comprehensive datasets to support research and clinical trial matching.
BYOT AI Training
Allows organizations to use their own technology tools to train AI models using preprocessed healthcare data.
Compliance Certifications
The platform holds HITRUST r2 and SOC 2 Type 2 certifications for data security and regulatory compliance.
Use Cases
Legacy Application Decommissioning
Retiring outdated software applications to help reduce maintenance, licensing, and staffing costs.
Clinical Trial Matching
Using unified patient datasets to identify and match eligible patient cohorts for clinical studies.
M&A Data Integration
Consolidating data from acquired entities while retiring redundant applications to support merger ROI.
Patient Cohort Discovery
Accessing longitudinal patient data in near real-time to support research and pharma partnerships.
FAQ
What does Clearsense do for healthcare systems?
- Clearsense provides tools to archive historical data, decommission legacy applications to help reduce costs, and create a unified data lakehouse for research and clinical insights.
How does the platform support clinical research?
- Through RevealCS, the platform provides near real-time access to unified patient data, which helps researchers identify and match patient cohorts for clinical trials.
Is Clearsense compliant with healthcare security standards?
- Yes, the platform is HITRUST r2 and SOC 2 Type 2 certified to help mitigate cyber risks and support regulatory compliance.
Who is the typical buyer for Clearsense?
- The tool is designed for enterprise healthcare roles, including CIOs, CFOs, VPs of Applications, and Heads of Research and Analytics.
Source category: Healthcare
Source subcategory: Data Management
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