Use casesRegulated work

Clinical note structuring

A package granted empty capabilities is mechanically incapable of exfiltrating PHI - a stronger claim than a policy document.

The problem

Clinical notes are unstructured prose. Quality programmes, billing, and research cohorts all want the same thing: problems, meds, labs, and timing in a schema. Doing that with a general-purpose script language means trusting that nobody called requests.post with the note text.

HIPAA and GDPR reviewers distinguish between "we have a policy" and "the toolchain makes exfiltration impossible". The second is what gets a faster sign-off.

Why Ecko

Pure extraction modules
Structure the NLP step as a package with capabilities: [] and import it with grant []. It can call ai in mock mode in CI and a local model or approved endpoint in production - but it cannot open a socket on its own.
Typed clinical structs
Model an encounter as records with required fields. A hallucinated ICD code or impossible dose fails validation before it reaches the EHR interface.
Trace without content
JSONL tracing records call metadata. Combine with secret on note bodies so traces never carry raw PHI even when tracing is left on in staging.

In practice

note.ecko
# vendor/structure/ecko.json -> "capabilities": []

import structure grant []

type Med = { name: str, dose: str, route: str }

fn parse_note(text: secret(str)) -> list(Med) {
  ai "List medications mentioned" from reveal(text)
}

Further reading

Try it on your workload.