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Novus Examples
json253 B

Healthcare Procedure Codes (JSON)

SAMPLE procedure code list with fees for medical billing calculator tests.

Preview — first 15 linesjson
{
  "procedures": [
    {
      "code": "99213",
      "description": "Office visit SAMPLE",
      "fee": 125.0
    },
    {
      "code": "80053",
      "description": "Comprehensive metabolic panel SAMPLE",
      "fee": 45.0
    }
  ]
}

Specifications

Codes
2
Domain
healthcare

What is a .json file?

JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.

How to use this file

Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.

How to use this file for testing

“Healthcare Procedure Codes (JSON)” is a deterministic Novus Examples fixture for Data import, JSON parsing. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.

Documented properties for this file: JSON · 253 bytes. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

Data fixtures document their exact quirks — delimiters, encodings, null handling, schema, and row counts — in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.

Code examples

import json

with open("procedure-codes.json") as f:
    data = json.load(f)
print(type(data), len(data))

Generated by generation/data_wave_f.py. Free for any use, no attribution required — license.