SMART on FHIR app reviewers (the people running app-store-style review programs for SMART apps inside EHR vendor marketplaces) have a validation workload that looks nothing like a developer's IDE pass. The review has to check conformance, s

The FHIR validator market has a strong open-source baseline and a meaningful commercial layer on top, and most procurement decisions get framed as either-or when the honest answer is usually both. The cost story, the support story, and the

Bulk data submissions are the validation use case where single-resource validators show their limits. An NDJSON file with a million Patient and Observation resources is a throughput problem before it is a validation problem, and a validator

Plenty of validators claim to validate against FHIR profiles. Far fewer actually catch the profile errors that matter in production, where a missed must-support violation or a silently-accepted invalid coded value is the kind of bug that su

The FHIR specification defines $validate as a standard operation on every resource type, and the validators that expose it through a REST surface are the ones that fit cleanly into modern integration patterns. A $validate call is the standa

Two Java-based FHIR validators dominate continuous-integration pipelines: the HL7 reference validator (validator-cli) and the HAPI FHIR validator library. They share enough DNA that teams often pick one almost arbitrarily, then discover at