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pathling-python

Official

Master FHIR data analytics in Python.

Data & Analytics#python#data analytics#spark#terminology#fhir#pathling
Authoraehrc
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill simplifies complex health data analytics by providing a Pythonic interface for querying and transforming FHIR data, and performing advanced terminology operations.

Core Features & Use Cases

  • FHIR Data Ingestion: Read FHIR data from NDJSON, Bundles, or Delta tables into Spark DataFrames.
  • SQL on FHIR Views: Create SQL-friendly tabular views from FHIR resources.
  • Terminology Services: Perform value set membership tests, concept translations, and subsumption checks using FHIR terminology servers.
  • Use Case: Analyze patient demographics and conditions by querying FHIR resources, then enrich the data by checking if diagnosis codes belong to specific SNOMED CT value sets.

Quick Start

Use the pathling-python skill to create a PathlingContext and read FHIR data from the '/path/to/fhir/data' directory.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: pathling-python
Download link: https://github.com/aehrc/pathling/archive/main.zip#pathling-python

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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