4c69d5be9b
One dataset per calendar year on data.cms.gov (2013–2024, UUIDs in pfs.utilization.DATASETS), pulled through the Data API filtered to national rows (~13k a year, one per HCPCS × place of service), cached under data/cms/utilization/, loaded delete-then-insert per year, each year cited in bib as a Source (module:pfs, table:pfs.utilization, source:cms-website, year:N) and logged in cms.ingest_log with the cache file's sha256. Suppressed cells (<11 beneficiaries) load as NULL. read_series() sums places of service and service-weights the average allowed/paid amounts. stack pfs utilization [--year N]... [--write [--offline]] [--code C]... Notebook 7d charts a family's services per year with the exposure dates from 7c as rules; 7e answers the three #694 questions (99490 2015–, G2058→99439 continuity, APCM 2025 vs CCM — no 2025 file yet). CLI docs regenerated (sidebar renumbered around the new page).
16 lines
680 B
Python
16 lines
680 B
Python
"""PFS Pydantic table models for all CMS data file entities."""
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from .addendum import AddendumA as AddendumA
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from .addendum import AddendumB as AddendumB
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from .addendum import AddendumC as AddendumC
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from .addendum import AddendumD as AddendumD
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from .addendum import AddendumE as AddendumE
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from .carrier import CarrierLocality as CarrierLocality
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from .equipment import MedicalEquipment as MedicalEquipment
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from .gpci import Gpci as Gpci
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from .labor import ClinicalLabor as ClinicalLabor
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from .rvu import Rvu as Rvu
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from .supply import MedicalSupply as MedicalSupply
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from .utilization import Utilization as Utilization
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from .work_time import PhysicianWorkTime as PhysicianWorkTime
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