Metadata profile · 1.0.0 · STU1 · FHIR R4 · active 2023-05-26

HL7 Vulcan Retrieval of Real World Data for Clinical Research

Maintained by HL7 Biomedical Research & Regulation Work Group · Vulcan

What it helps you do

Vulcan RWD IG supports fHIR profiles and queries for finding cohorts and retrieving a minimal EHR-derived dataset for retrospective clinical research and potential regulatory use.

  • Clinical
  • Real-world evidence
  • Regulatory
PlanAcquireHarmonizeExchangeLearn + reuse

01

Where it fits and where it does not

Use these four checks before committing implementation time.

Use it when
Research applications retrieving RWD from FHIR-capable EHRs through a named, testable research profile rather than unconstrained base resources.
Limits
STU1 is limited to retrospective EHR RWD; prospective eSource, registries, payer data, downstream transformation, and analysis readiness are outside current scope.
Best for
Clinical and Real-world evidence and Regulatory teams working across Acquire → Exchange.
Maturity
ScalingUsable now, but adoption or tooling is still developing. Pilot the exact stack first.

02

See it in the workflow

This view shows the input, the change the standard introduces, and the resulting output.

  1. InputWhat starts

    Clinical and Real-world evidence and Regulatory source data, metadata, and local mappings

  2. Vulcan RWD IGWhat changes

    Use Vulcan RWD IG as a pinned metadata profile across Acquire → Exchange

  3. OutputWhat becomes possible

    A handoff the next system or team can validate against the same release

Readiness gateSTU1 is limited to retrospective EHR RWD; prospective eSource, registries, payer data, downstream transformation, and analysis readiness are outside current scope.

03

A concrete example

A research service applies the guide’s cohort searches and must-support elements to retrieve versioned condition, medication, observation, and encounter data from an EHR.

Why it matters: A constrained retrieval contract improves reproducibility, but FHIR output still needs terminology normalization, longitudinal modeling, quality evidence, and bias assessment.

04

What it fits with

Builds on International Patient Access and can combine with jurisdictional core guides; downstream CDISC or OMOP conversion is handled by separate mappings.

05

Implementation starter

Start with one bounded handoff. Pin, test, and review it before scaling.

  1. Define one handoff, its accountable owner, and the decision Vulcan RWD IG must support.

  2. Pin the exact version and companion artifacts: 1.0.0 · STU1 · FHIR R4 · active 2023-05-26.

  3. Map one representative input to the required metadata profile artifacts.

  4. Test the result against the canonical source and record every exception.

  5. Preserve the source data, mappings, and review evidence before scaling.

06

Test the main limitation

Risk

STU1 is limited to retrospective EHR RWD; prospective eSource, registries, payer data, downstream transformation, and analysis readiness are outside current scope.

Test

Run one representative end-to-end pilot and record exactly where Vulcan RWD IG loses context, needs an extension, or depends on another standard.

Risk

Machine-readable output may still be unfit for analysis or ML.

Test

Test the output for missing context, provenance, terminology alignment, time leakage, and the intended downstream decision. A constrained retrieval contract improves reproducibility, but FHIR output still needs terminology normalization, longitudinal modeling, quality evidence, and bias assessment.

07

Official resources

Specifications, diagrams, examples, and guides from the organizations that maintain them.

  • Primary source1.0.0 · STU1 · FHIR R4 · active 2023-05-26

    HL7 Vulcan RWD IG 1.0.0

    Official publisher or steward guidance for this metadata profile profile.

    Publisher
    HL7 Biomedical Research & Regulation Work Group · Vulcan
    Open official source

Next action

Put this profile in context

Compare its role with adjacent standards or place it inside an end-to-end data pathway before choosing an implementation.