HEALTH INTEROPERABILITYREVIEW

Move data. Preserve meaning. Prove the exchange.

Coverage desk

Integration Architecture

Source-backed reporting and analysis connected to the companies, capabilities, authorities, and operating domains it affects.

Iguana interfaces need generation-specific lifecycle records

iNTERFACEWARE says it supports both Iguana 6 and the newer IguanaX, plans to evolve them gradually, and does not intend to force disruptive migrations. Continued product support is important evidence, but each production interface still needs its own version, dependency, security, test, change, stay-or-migrate decision, parallel-run result, rollback plan, and operational acceptance.

Qvera AI mapping scripts need message-level validation

Qvera says its interface engine's AI Companion can generate mapping scripts, debug errored messages, and troubleshoot connectivity across an engine that supports HL7, FHIR, DICOM, X12, and other formats. Generated code can accelerate integration work, but it remains a proposed transformation until representative messages, versions, semantics, exceptions, privacy controls, and production receipts are validated.

Infor full item loads need a stock-state commit record

Infor says Clinical Bridge can process full item loads of more than 50,000 items in minutes, supports near-real-time updates, and carries stock and non-stock item data. Speed does not establish that one complete item epoch became visible. Preserve the source cutoff, expected batch, staged exceptions, commit policy, visibility time, and stock-state transitions in one load record.

HealthShare record deduplication should keep clinical disagreement visible

InterSystems describes HealthShare Unified Care Record as an aggregated, normalized, and deduplicated patient record built from multiple sources. That architecture can reduce fragmentation while still preserving conflicting assertions, source context, and the authority required to reconcile them.

Google Cloud Healthcare API keeps FHIR, HL7v2, and DICOM as separate stores

Google Cloud's official overview places FHIR, HL7v2, and DICOM data in modality-specific stores with distinct APIs. One managed service can centralize operations without making the formats, meanings, consent rules, or clinical workflows interchangeable.