Python toolkit for US healthcare reimbursement systems. Provides unified access to CMS groupers (MS-DRG, HHA, IRF), editors (MCE, IOCE), and pricers (IPPS, OPPS, IPF, IRF, LTCH, SNF, HHA, Hospice, ESRD, FQHC) via JPype bridge to official CMS Java tools. Automate claims processing, analytics, and research with Medicare-accurate logic.
Python toolkit for Medicaid claims data analysis — preprocessing, cleaning, risk adjustment (Elixhauser, CDPS-Rx), quality measures (PQI, BETOS, low-value care), and patient-level analytic file construction for MAX and TAF CMS data. Built on Dask for scalable processing of large-scale healthcare claims datasets.
