Cliexa Platform Primitives
The foundational capabilities that power Cliexa's clinical intelligence—from records to reasoning.
cliexaAI Engine
Proprietary closed-loop clinical rules engine integrating with EMRs to deliver real-time decision support and billing insights. Validated in clinical settings since 2016 with encoded medical guidelines.
- Evidence-based recommendations at point of care
- XGBoost-based predictive algorithms
- Algorithmic fail-safes for clinical safety
Validated AI with Real Data
Unlike static AI models, cliexaAI continuously improves through a self-guided learning mechanism that captures feedback from patients, clinicians, and billers—a self-learning system.
- Continuous learning from claim outcomes
- Multi-stakeholder feedback integration
- Risk stratification and pattern recognition
Closed Loop Learning
Complete healthcare ecosystem connecting patient engagement to revenue cycle management. Updates coding rules automatically based on claim outcomes to reduce denials.
- Real-time payer rule alignment
- Denial pattern analysis
- Outcome-driven rule refinement
Cloud & EMR Agnostic
Flexible deployment via cloud-agnostic, containerized architecture that integrates with any major EMR or cloud environment. Available on Azure Marketplace and Athenahealth Marketplace.
- FHIR/HL7 interoperability
- SMART on FHIR compliance
- Standard containerized packages
Product Modules
cliexaARCH
Revenue CycleIntelligent RCM platform using 'true clinical reasoning' to build payer-ready clinical arguments. Links diagnoses, orders, labs, and notes to medical necessity automatically.
cliexa-PULSE
Remote MonitoringCardiovascular remote monitoring (ACC co-developed) for atrial fibrillation, hypertension, heart failure. Tracks symptoms, medications, and daily activity.
cliexaTrac
Patient OutcomesPatient-reported outcomes collection for chronic conditions. Mobile platform enabling real-time symptom tracking with EMR integration.
AI Scribe
DocumentationAutomatically generates compliant clinical notes and suggests billing codes in real-time. Reduces documentation burden on clinicians.
OUD Risk Model
Predictive AnalyticsOpioid Use Disorder early-warning model identifying and stratifying at-risk patients. Mayo Clinic Platform qualified solution.
Surgical Scheduling Insights
OperationsOptimizes OR scheduling based on patient and facility data. Improves throughput and resource utilization.
Integration Architecture
Centralized Command Center
Unified view of patient data (EMR data, patient-reported data, device data) with automated documentation and risk stratification.
Clinician Insights Dashboard
EMR-embedded dashboard providing AI insights, recommendations, and billing opportunities at point of care.
Billing Insights Engine
Intelligent Coding Engine aligning documentation with payer-specific rules to preempt denials before claim submission.