Interoperability contracts between health-data partners tend to name the FHIR version, the profile package, and the payload transport. They frequently omit the Bundle-layer validation obligation, and the omission becomes visible only when...

Estimating the cost of an invalid FHIR Bundle is uncomfortable work, and programs that avoid it usually pay the full amount later. The cheap version of the estimate treats each rejection as a retry. The honest version treats it as the root...

Audit trails in FHIR-based health-data programs typically record who accessed which resource and when. That framing misses the earlier question of whether the payload the resource arrived in was ever validated. Grounding the audit trail in...

Structural Bundle validation and terminology validation answer different questions. A payload that passes the first and fails the second is a common outcome in mature integrations, and treating the two as one layer is where downstream...

EHR migrations move clinical data from one system to another under time pressure and organizational scrutiny. FHIR Bundles carry that data across the boundary in nearly every modern migration, and the failure modes at the Bundle layer are...

FHIR validator output tends to arrive in a shape optimized for developers: a flat list of issues, each with a FHIRPath location and a controlled-vocabulary code. Stakeholders responsible for the data-quality program, the vendor...

Vendor acceptance criteria for FHIR Bundles are the concrete list of rules a receiving system enforces before a payload lands in production. Programs that treat acceptance as a black box usually discover the criteria one rejection at a...

FHIR data quality programs frequently start at the resource level. Individual Patients, Observations, and Encounters get profiled, mapped, and audited in isolation. The gap in that framing is that most FHIR payloads in health-data exchange...