> ## Documentation Index
> Fetch the complete documentation index at: https://docs.textql.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Wrap-Up & Next Steps

> You went from an empty environment to governed healthcare analytics — and, more importantly, to a model that grows itself:

You went from an empty environment to governed healthcare analytics — and, more importantly, to a model that **grows itself**:

* **North Star set:** you named what the ontology is *for*, picked an archetype, and chose the questions that matter — before touching the schema
* **Connected:** ontology repo (live, git-backed) + warehouse (read-only) + your documents
* **Validated:** the model diffed against your actual schema, fixed via PR
* **Terminology live:** CCSR / HCC / chronic groupers joining in-sandbox, zero warehouse writes
* **Governed answers:** prevalence, PMPM, readmissions, utilization, RAF — SQL shown, decisions recorded
* **Compliant by default:** minimum-necessary, \<11 suppression, sensitive-diagnosis gating
* **Self-maintaining:** not-yet-governed questions answered on the frontier and proposed back as PRs — discovery paid once, then reused
* **Yours:** definitions adapted in your repo, pinned with golden-query tests

## Where to go from here

* **Operate it:** the [Ontology Operations](/workshops/ontology-operations/overview) workshop covers the production loop — git workflows, access control, accuracy testing, scaling across teams.
* **Understand the build:** [Build Your Ontology, End to End](/workshops/build-your-ontology/overview) teaches the from-scratch method the starter packages up.
* **Roll it out:** point your analysts and business users at [Self-Service Analytics](/workshops/self-service-analytics/overview) — the ontology you just stood up is what makes their answers trustworthy.
* **Licensing:** before production, review `LICENSING.md` (CPT/SNOMED/LOINC structural modeling; VSAC via your UMLS key).

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