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Now compatible with Python 3.13, Dask 2026.x, and Pandas 3.0 — Install from PyPI
medicaid-utils
medicaid-utils

Getting Started

  • Installation
  • Expected Data Layout
  • Quick Start
  • CMS Data Dictionary References
  • FAQ & Troubleshooting
  • Glossary
  • Publications

User Guide

  • Preprocessing Claims
  • Cohort Extraction
  • Risk Adjustment & Clinical Algorithms
  • Quality Measures & Domain Modules
  • MAX vs TAF: CMS File Formats
  • Common Recipes
  • Scaling with Dask
  • Geographic Data & Rural-Urban Classification
  • OB/GYN Topic Module
  • Opioid Use Disorder (OUD) Topic Module

Tutorials

  • Tutorial: Extracting a Type 2 Diabetes Cohort
  • Tutorial: Extracting an Opioid Use Disorder (OUD) Cohort

API Reference

  • medicaid_utils package
    • medicaid_utils.adapted_algorithms package
      • medicaid_utils.adapted_algorithms.py_betos package
      • medicaid_utils.adapted_algorithms.py_cdpsmrx package
      • medicaid_utils.adapted_algorithms.py_ed_pqi package
      • medicaid_utils.adapted_algorithms.py_elixhauser package
      • medicaid_utils.adapted_algorithms.py_ip_pqi package
      • medicaid_utils.adapted_algorithms.py_low_value_care package
      • medicaid_utils.adapted_algorithms.py_nyu_billings package
      • medicaid_utils.adapted_algorithms.py_pmca package
    • medicaid_utils.common_utils package
    • medicaid_utils.filters package
      • medicaid_utils.filters.claims package
      • medicaid_utils.filters.patients package
    • medicaid_utils.other_datasets package
    • medicaid_utils.preprocessing package
    • medicaid_utils.topics package
      • medicaid_utils.topics.obgyn package
      • medicaid_utils.topics.oud package
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