Place up to three profiles side by side. Compare their architectural role, lifecycle reach, and first limitation to test. No single standard covers every layer.
Working set
Choose profiles
1 of 3 selected
01
Vulcan RWD IGMetadata profile
Decision lens
Compare roles before choosing an implementation.
The useful question is not “Which standard wins?” It is “Which job must this part of the architecture perform, and what remains uncovered?”
01
Start with the job
Decide whether you need guidance, a domain payload, exchange, semantics, governance, or a reusable release.
02
Map lifecycle reach
Use the matrix to see where each profile has a direct role. A filled cell is coverage, not a quality score.
03
Test the boundary
Read what each option leaves unresolved before judging maturity or implementation fit.
Assessment
Review lifecycle coverage and practical fit.
Read left to right. Lifecycle reach comes first; a maturity label never overrides a scope mismatch.
01 · Lifecycle reach
Where each profile contributes directly
Coverage shows a recorded role at that readiness stage. It does not imply end-to-end implementation.
Readiness-stage coverage for HL7 Vulcan Retrieval of Real World Data for Clinical Research
No direct role is recorded for Plan, Harmonize, Learn + reuse.
Known limitation
STU1 is limited to retrospective EHR RWD; prospective eSource, registries, payer data, downstream transformation, and analysis readiness are outside current scope.
03 · Detailed assessment
Check the fit and source behind the map
Use the official source, version, and limitation together. A higher maturity label does not erase a scope mismatch.
Detailed comparison of HL7 Vulcan Retrieval of Real World Data for Clinical Research
Assessment
Vulcan RWD IGHL7 Vulcan Retrieval of Real World Data for Clinical Research
Purpose & coverage
FHIR profiles and queries for finding cohorts and retrieving a minimal EHR-derived dataset for retrospective clinical research and potential regulatory use.
Best fitResearch applications retrieving RWD from FHIR-capable EHRs through a named, testable research profile rather than unconstrained base resources.
Readiness stages
AcquireExchange
AI-ready contribution
A constrained retrieval contract improves reproducibility, but FHIR output still needs terminology normalization, longitudinal modeling, quality evidence, and bias assessment.
First limitation to test
STU1 is limited to retrospective EHR RWD; prospective eSource, registries, payer data, downstream transformation, and analysis readiness are outside current scope.
Maturity
Scaling
Current published STU1 with deliberately iterative use-case coverage