Canonical, public, high-level documentation for the Open Imaging Data Model (OIDM): the finding models, common data elements, anatomic locations, and exam types that form its semantic foundation; the Observation, Exam Finding List, Imaging Problem List, and Imaging Persona data structures built on them; and the applications that use them.
The content is an Open Knowledge Format 0.2 bundle in knowledge/. Start at the root index, then the overview and the glossary. Working repositories in the openimagingdata organization keep code documentation and reference this repository for everything else.
- Browse on GitHub from
knowledge/index.md. - Rendered site: coming in the first release.
- Agents: read
knowledge/index.mdfirst, follow links only into what the task needs, and weighstatus,verified, andstale_afterin each document's frontmatter.
See CONTRIBUTING.md and the authoring guide. Two checkers must pass:
uv run .agents/skills/validate/scripts/okf_validate.py knowledge --strict
uv run tools/check_bundle.py| Path | Purpose |
|---|---|
knowledge/ |
The OKF bundle |
tools/ |
House-rules checker |
.agents/skills/ |
Installed OKF skills (author, validate, visualize, backfill) |
CHANGELOG.md |
Reader-facing changes |
DEV_LOG.md |
Engineering narrative |
Content is licensed under CC BY 4.0.