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Saving lives with data by providing regulatory-grade safety and effectiveness data.

The industry's first Logic-as-a-Service platform for AI-driven healthcare payment integrity.

Lyric represents a paradigm shift in healthcare administration, transitioning the industry from static, rule-based claims processing to a dynamic 'Logic-as-a-Service' model. Historically known as the Clinical Integrity division of Change Healthcare, Lyric was rebranded following its acquisition by TPG Capital. The platform's 2026 architecture leverages advanced machine learning models and large-scale clinical data sets to automate complex medical policy interpretations and payment accuracy. Its technical core is designed to sit between healthcare payers and providers, acting as a real-time clinical intelligence layer. By integrating AI-driven predictive modeling with traditional edit engines, Lyric minimizes 'noise' in claims auditing and significantly reduces administrative friction. The platform specializes in processing high-velocity EDI 837 transactions, applying clinical logic in milliseconds to ensure compliance with shifting CMS (Centers for Medicare & Medicaid Services) guidelines and private payer policies. For Lead AI Architects, Lyric offers a robust ecosystem for clinical data interoperability, utilizing FHIR and HL7 standards to bridge the gap between unstructured clinical notes and structured financial outcomes, effectively future-proofing payment integrity operations against increasing regulatory complexity.
Lyric represents a paradigm shift in healthcare administration, transitioning the industry from static, rule-based claims processing to a dynamic 'Logic-as-a-Service' model.
Explore all tools that specialize in clinical policy automation. This domain focus ensures Lyric delivers optimized results for this specific requirement.
Cloud-native microservices architecture that decouples clinical logic from core legacy processing systems.
Uses machine learning to predict which claims are likely to be denied or require manual review.
A centralized repository of proprietary and public (CMS/AMA) clinical content updated weekly.
Translates legacy EDI formats into FHIR-compliant JSON objects for AI analysis.
NLP models that read and convert textual medical policies into executable code.
Bi-directional API feedback loop that informs providers of potential errors before claim submission.
Kubernetes-orchestrated infrastructure capable of handling peak enrollment season spikes.
Stakeholder alignment and definition of payment integrity goals.
Security and compliance review (SOC2/HIPAA/GDPR).
Initial data ingestion and mapping of historical claims data via SFTP or API.
Configuration of the Clinical Logic Engine based on specific payer policies.
Sandbox environment setup for logic testing and edge-case simulation.
User Acceptance Testing (UAT) with real-world claim samples.
Integration with existing Core Administrative Processing Systems (CAPS).
Training for clinical coders and administrative staff on the Lyric dashboard.
Pilot 'Shadow' phase where Lyric runs parallel to existing systems.
Full production go-live with continuous monitoring and logic tuning.
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Verified feedback from other users.
"Users praise the transition from legacy ClaimsXten to the more agile Lyric platform, citing improved logic flexibility and significantly reduced IT overhead."
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