Finding models

  • Why finding models - Why the finding is OIDM’s unit of data, what a finding model definition carries, what it deliberately is not, and how downstream structures consume it.
  • Finding model format - The released Open Imaging Finding Model record format, class by class and field by field, with a real example and the unreleased metadata fields on the work edge.
  • Finding model identifiers - The OIFM and OIFMA identifier grammar, the organization-code segment and its registered values, value codes, how identifiers are minted and checked, and what stability is guaranteed.
  • Finding model content catalog - The findingmodels repository: what is in the corpus, where its identifiers and generated renders live, the conventions that govern it, how to browse it, and the content batches in flight on unmerged branches.
  • MGB exam-oriented sub-taxonomies - The six exam-oriented finding hierarchies contributed by MassGeneral Brigham, their columns and hierarchy semantics, their row and match counts, and the triage they call for.
  • Authoring workflow - How finding models are created and reviewed today, through the Forge web application, the findingmodel-ai command line, the three agent skills, and the validator that gates every commit.
  • Metadata enrichment pipeline - How finding model definitions get structured metadata assigned by language models, what shipped, what the canonical rewrite on the work edge changes, and why it has not been released.
  • Finding models and common data elements - The workbench relationship: finding models as fast exploratory definitions that can graduate into governed ACR and RSNA common data elements, and the vocabularies both have to fit.