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fhir_jev

budityw23/fhir_jev

Typed Jev decision layer for FHIR R4: quality, routing, notifiable disease.

Automated README summary

Automatically summarized from the README on 4 Nov 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A proof-of-concept FastAPI service that puts TypeSafe AI's Jev in front of FHIR R4 clinical workflows, scoring resource quality, routing Bundles, and detecting Indonesian notifiable diseases. All data is synthetic; not for production use.

How it uses Jev

FHIR serializers flatten each resource into a small key/value state (has_identifier, identifier_value_length, code_value, dominant_resource_type). Jev then answers Score (quality 0–100), Choice (Bundle category), and Noul (NIK validity, notifiable yes/no). Confidence thresholds decide auto_accept vs review_needed, route vs unknown, and whether to emit a FHIR Flag.

Primitives:scorechoicenoul

Technique worth stealing

Flatten structured FHIR into a small typed state so Jev's Score/Choice/Noul primitives replace brittle rules and slow LLM calls.

Try it

git clone, pip install -e ".[dev]", cp .env.example .env, make serve (mock Jev by default).

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.97
  • Shows a System One patternunclear0.53
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersFound in material0.98
  • Is a runnable toolnot found in the excerpt0.39
  • Top-10 learning shortlist signalunclear0.44
  • Is a replica of the modelnot found in the excerpt0.07
  • Solves a common problem (0–2)score on a 0–2 scale0.73 / 2
  • About JevFound in material0.99
Signals
Jev is core to the project0.97Shows a System One pattern0.53Describes handling uncertainty0.04Reports measured numbers0.98Is a runnable tool0.39Top-10 learning shortlist signal0.44Is a replica of the model0.0700.51Solves a common problem (0–2)0.73 / 2012

no-judgment band (0.40–0.60)

Design patterns
Traffic light0.98Check-up0.88Scorecard0.73Grey zone0.65Funnel0.52Thermostat0.39Menu0.25Fail open, fail closed0.22Inspection0.2100.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 4 Nov 2026.