icd10Health

Mock Jutsu HOW-TO | EN

The mock-jutsu library provides a specialized icd10 function designed for developers and QA engineers working within the healthcare technology sector. This function generates synthetic codes based on the International Classification of Diseases, 10th Revision, which is the global standard for reporting diseases and health conditions. By utilizing this tool, teams can generate realistic mock data that mirrors the alphanumeric structure required by medical systems, such as the example code J45.909. This ensures that your test data is not only structurally sound but also representative of real-world clinical documentation, facilitating more accurate software behavior during the development phase.

Generating valid-looking icd10 codes is essential for testing Electronic Health Record (EHR) systems, medical billing platforms, and insurance claims processing engines. The mock-jutsu library follows the standard formatting rules mandated by global health organizations, typically producing a code that begins with a letter followed by two digits, a decimal point, and additional sub-classification characters. This level of precision is vital for verifying data validation logic, database schema constraints, and search indexing features within health-related applications. By using synthetic test data, developers can avoid the legal and ethical complexities associated with using Protected Health Information (PHI), ensuring full compliance with HIPAA and other data privacy regulations.

One of the primary benefits of mock-jutsu is its seamless integration across various development workflows. For those who prefer a command-line interface, the CLI command "mockjutsu generate icd10" provides instant results for quick debugging. Python developers can easily incorporate the function into their automated test suites using "jutsu.generate('icd10')", while performance testers can leverage the JMeter plugin with the syntax "${__mockjutsu(icd10,)}". This versatility allows for a unified approach to data generation, whether you are populating a sandbox database, running unit tests, or conducting large-scale load testing on a diagnostic reporting module.

Ultimately, the icd10 function within mock-jutsu accelerates the software development lifecycle by removing the bottleneck of manual data entry. Instead of spending hours curating spreadsheets of medical codes, teams can programmatically generate thousands of unique entries in seconds. This reliability and speed empower organizations to build more resilient healthcare systems, improve interoperability between medical platforms, and ensure that their applications are prepared to handle the vast complexities of modern medical coding standards without compromising on quality or security.

CLI Usage
mockjutsu generate icd10mockjutsu bulk icd10 --count 10mockjutsu export icd10 --count 10 --format jsonmockjutsu export icd10 --count 10 --format csvmockjutsu export icd10 --count 10 --format sql# --mask: regulation-compliant output (PCI DSS / GDPR / KVKK)mockjutsu generate icd10 --maskmockjutsu bulk icd10 --count 5 --mask
Python API
from mockjutsu import jutsujutsu.generate('icd10')jutsu.bulk('icd10', count=10)jutsu.template(['icd10'], count=5)# mask=True: regulation-compliant outputjutsu.generate('icd10', mask=True)jutsu.bulk('icd10', count=5, mask=True)
JMeter
${__mockjutsu_health(icd10)}# JMeter Function: __mockjutsu_health# Parameter 1: icd10# Parameter 2: (not required for this function)# Add 'mask' keyword to get a regulation-compliant masked value${__mockjutsu_health(icd10,mask)}
REST API
GET /generate/icd10# → {"type":"icd10","result":"...","status":"ok"}GET /bulk/icd10?count=10POST /template {"types":["icd10"],"count":1}# mask=true: regulation-compliant outputGET /generate/icd10?mask=trueGET /bulk/icd10?count=5&mask=true

Parameters

Parameter Values Description
--mask true | false Return a regulation-compliant masked value (PCI DSS, GDPR, KVKK…)

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