Ai-ready interoperability

The healthcare integration infrastructure your
AI requires

Most healthcare AI projects don’t fail at the model.
They fail at the data. Rhapsody gives you the integration, identity, and terminology infrastructure to make healthcare data trustworthy enough for AI to use.

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AI-ready interoperability is the integration infrastructure that makes healthcare data trustworthy enough for AI to use. Most organizations can already move data between systems. That’s basic interoperability. AI-ready interoperability adds what AI actually requires: clean, normalized, real-time data flows, resolved patient identity across every source, and consistent clinical terminology so AI tools receive data accurate enough to produce reliable results. Get those layers right and AI features perform, integration teams focus on innovation, and new systems come online without starting over. Get them wrong and fragmented records undermine accuracy. AI adoption stalls at the data layer. 

Rhapsody is the most trusted integration platform in healthcare. Best in KLAS every year since 2009, used by more than 1,900 healthcare organizations across 31 countries, and purpose-built to connect, normalize, and govern healthcare data at the scale AI requires. 

Most healthcare organizations have AI models. What’s missing is the infrastructure that makes those models trustworthy in production. Rhapsody helps healthcare organizations overcome these barriers by unifying data, modernizing integration, and creating a trusted foundation for AI.

Traditional interoperability moves data between systems. AI-ready interoperability makes that data trustworthy enough for AI to use. Here’s what separates them. 

Capability layerTraditional interoperabilityRhapsody AI-ready interoperability
Data connectivityMoves data between systems. Data arrives, but quality and structure vary by source.You connect any system. Rhapsody supports APIs and Interfaces for FHIR, HL7, MCP, REST, CDA, X12/EDI, SQL, and DICOM from a single platform.
Patient identityRecords flow across systems with no guarantee of consistent identity. Duplicates accumulate over time.You create trusted records. Rhapsody EMPI resolves fragmented identity across disparate systems for AI agents to act on.
Clinical terminologyCode sets and terminology vary by system. Equivalent concepts may have different codes across EHRs.You normalize data across sources. Rhapsody Semantic maps code sets so AI models treat equivalent concepts as equivalent.
AI agent supportData is available but not structured for automated action. Agent reliability depends on upstream manual quality work.You build the foundation AI requires. Rhapsody Axon, the health data integration agent, monitors, diagnoses, and automates on clean data.
Integration maintenanceEHR version upgrades and API changes each require custom rework. Burden grows with scale.You reduce operational burden. Rhapsody centralizes integration logic so changes propagate across connected systems.
DeploymentConstrained by infrastructure decisions. Hybrid environments often require separate tools.You deploy your way. Cloud, client-hosted, or hybrid — security and data residency requirements met without rebuilding.

AI-ready interoperability is a stack of capabilities that work together. Together, these products unify fragmented data, normalize clinical terminology, automate integration management, and provide the governance required to deploy AI confidently in healthcare.

ProductWhat it doesWhy it matters for AI readiness
Rhapsody® IntegrationDeveloper-grade, API-centric integration for FHIR, HL7 v2, MCP, REST, CDA, X12/EDI, SQL, DICOM.Delivers real-time, multi-standard data pipelines so AI agents can act on clinical events as they happen.
Corepoint® IntegrationLow-code integration for analysts. Same standard coverage, no coding required.Extends AI-ready data pipelines to teams without deep developer resources.
Rhapsody® AxonThe industry’s first health data integration agent, embedded in Corepoint and Rhapsody. Monitors integration health, diagnoses issues before they affect clinical workflows, automates data management, and supports emerging agentic workflows.Makes integration AI-powered and catches issues before affecting clinical workflows.
Rhapsody® IdentityPerson identity management with EMPI and Autopilot AI-enabled matching. Resolves fragmented records across EHRs, labs, and care settings into a single enterprise identity while continuously improving match accuracy.Provides the complete, deduplicated person records AI models require for reliable clinical outputs.
Rhapsody® SemanticCode set mapping and clinical terminology management. Normalizes terminology across systems so equivalent clinical concepts are interpreted consistently.Ensures AI models treat equivalent clinical concepts as equivalent, eliminating silent data quality failures.
Rhapsody® EnvoyAutomated integration connections that monitor and manage data flows without heavy lift.Reduces operational overhead of maintaining data pipelines so teams focus on AI development.
Rhapsody® GuardianSecurity, observability, and access control for healthcare API exchange.Provides the governance layer enterprise AI deployment requires, and is auditable, access-controlled, and compliant.

80% decrease

in time from data ingestion to clinical insight. Zephyr AI uses Rhapsody Semantic to normalize clinical data before it reaches their AI models, reaching production in under 30 days.

743 hours saved per month

in manual remediation after deploying Rhapsody EMPI across a network of 5.8 million patients, resolving 12 million disparate records into single unique identifiers.

Ready to build the foundation your organization’s growth depends on?

Whether you’re laying the groundwork for AI adoption or ready to automate entire clinical workflows, Rhapsody gives you the integration, identity, and terminology foundation to do it reliably at every stage.