cliexaEcho: Generate and Deidentify Realistic Clinical Data
Build Synthetic Patient Journeys
Combines public clinical guidelines, statistical health data, and claims trends to simulate real-world cases by demographics, comorbidities, and care pathways.
Code and Deidentify
Maps each simulated journey with standardized codes (ICD-10, CPT, SNOMED, LOINC) and deidentifies sensitive data for compliance-ready output.
Deliver Training-Ready Data
Generates curated datasets tailored to specialty, payer, or risk models, ready to plug into LLMs, machine learning workflows, and algorithm development pipelines.
Featured Capabilities
Featured capabilities of cliexaEcho illustrate how we deliver AI-grade training data through intelligent simulation of patient journeys, deeply mapped with clinical and billing logic.
Synthetic Case Generator
Leverages clinical rules, population data, and historical claims patterns to build statistically valid, specialty-specific synthetic patient cases.
Standards-Based Data Mapping
Each case is fully coded with HL7/FHIR, ICD-10, CPT, SNOMED, and payer-aligned logic, making the data useful for both clinical research and reimbursement modeling.
Model-Ready Output
Delivers clean, structured, deidentified datasets tailored for model development from risk prediction to decision support with realistic context and variability.
Integrates With
Advanced Interoperability
Real-time interoperability enriched with clinical reasoning and standardization
Clinical Rules Engine
True clinical reasoning calibrated with real patient data
The Core Intelligence
Core intelligence powering the cliexa ecosystem through multi-source learning
Explore All Platforms
Each solution operates as a powerful standalone product or as part of a fully integrated suite, offering seamless data flow, workflow automation, and real-time insights across the entire care and revenue cycle.