Three Parquet cubes per year, aggregated from the individual admission records in sih/rd/ (SIH/SUS, AIH Reduzida) by the sih-cubos pipeline of healthbr-data (scripts/pipeline/sih-cubos/build-aggregations.R; until 2026-09-08 the builder lived in sih-br-mcp, which now consumes this channel). They are derived data: the Ministry of Health / DATASUS is the source, sih/rd/ is the redistribution the cubes were read from, and each year ships with a provenance sidecar naming the exact partitions (URL, MD5, size and mirror download date of every .dbc).

Part of the healthbr-data project — open redistribution of Brazilian public health data.

Summary

Item	Detail
Upstream source	Ministry of Health / DATASUS, SIH/SUS (RD files) via `sih/rd/`
Temporal coverage	1992–2025, one cube set per year of admission (`DT_INTER`)
Geographic coverage	All 27 states; municipality of residence from 1998
Granularity	Aggregated counts (no individual records)
Files per year	`sih_causas_<year>.parquet`, `sih_series_<year>.parquet`, `sih_icsap_<year>.parquet`, `sih_provenance_<year>.json`
Manifest	`sih/cubos/manifest.json` — size and SHA-256 of every file and of the classification tables
Classification tables	`sih/cubos/tables/*.json` (ICD-9 decoding, ICSAP lists, csapAIH universe) — the contract consumers copy and verify by SHA-256
Builder	healthbr-data `scripts/pipeline/sih-cubos/build-aggregations.R` ≥ 2.7.0 (2.5.0–2.6.1 in sih-br-mcp; version and git commit recorded in the sidecar)
Rebuild	`rebuild-sih-cubes.yml`: Tuesday 06:00 UTC and after every mirror maintenance; only the years whose `sih/rd/` partitions changed
License	CC-BY 4.0 (upstream data is public; the aggregation is this project's)

Resumo em português

Cubos do SIH — agregados anuais de internações hospitalares (Brasil, 1992–2025)

Três cubos Parquet por ano, agregados a partir dos microdados de sih/rd/ pela pipeline sih-cubos do healthbr-data (até 08/09/2026, pelo sih-br-mcp, hoje consumidor do canal). São dados derivados: a fonte é o Ministério da Saúde / DATASUS, sih/rd/ é a redistribuição de onde os cubos foram lidos, e cada ano traz um sidecar de proveniência (sih_provenance_<ano>.json) com as partições exatas (URL, MD5, tamanho e data de download de cada .dbc). O cubo do ano Y contém as internações com data de internação em Y, lidas das competências Y-01..Y-12 e (Y+1)-01..04 (99,7–99,9 % das internações do ano).

Cubes

All three cubes carry cid_revision (9 = ICD-9 coded admission, 1992–1997; 10 = ICD-10, 1998 onward; 1997 has both, see Eras).

Cube	Keys	Measures
`sih_causas_<year>`	`year, month, uf, cid_chapter, cid_revision, cid_group, sex, age, race, is_csap, csap_group`	`n, days, value, deaths`
`sih_series_<year>`	`year_month, uf, cid_chapter, cid_revision`	`n, deaths`
`sih_icsap_<year>`	`year, uf, municipality_code, cid_revision, csap_group, sex, age, race`	`n, days, value, deaths, n_total`

age is completed years (COD_IDADE 2 = days and 3 = months both map to 0; builders before 2.5.0 swapped the two and gave newborns aged 12–30 days age 1–2 — every year was rebuilt in September 2026).
sex: M, F (SEXO 1 / 3, and 2 in the 1992–1997 layout) or I.
race: branca, preta, parda, amarela, indigena, ignorado; null in every row before 2008 (RACA_COR only exists in the AIH layout from 2008).
is_csap / csap_group: Brazilian list of Ambulatory Care Sensitive Conditions (ICSAP), Portaria MS/SAS 221/2008, groups g01–g19.
exclusion (causes and ICSAP cubes): the ICSAP universe of the R package csapAIH (Nedel), the method used in the Brazilian literature — procedimento_obstetrico (obstetric procedure: the package's 10 SIGTAP codes from 2008; the delivery/cesarean/abortion groups of DATASUS PROCOBST.CNV for the old 8-digit table until 2007), parto (delivery diagnosis O80–O84; ICD-9 650, 669.5–669.7), longa_permanencia (long-stay AIH, IDENT = 5), or null = inside the universe. The CSAP classification is kept for every row; the literature's ICSAP share excludes the marked rows from numerator and denominator.
ICSAP cube denominators: the cube has one row per (stratum × CSAP group) plus one row per stratum without any ICSAP admission (csap_group null, n = 0). n_total is the total number of admissions of the stratum (year, uf, municipality_code, cid_revision, sex, age, race, exclusion), repeated in every row of that stratum: the ICSAP share is sum(n) / sum(n_total over DISTINCT strata) — never sum(n_total) over rows — and, for the csapAIH convention, over rows where exclusion is null only.

Eras (what changes along the series)

Years	Diagnosis	`uf` / municipality	`race`	`value`
1992–1997	ICD-9 (`cid_revision = 9`): `cid_group` is the 3-digit ICD-9 category (`"466"`, `"E883"`, `"V01"`), `cid_chapter` the equivalent ICD-10 chapter; ICSAP from a derived, non-official ICD-9 list (`sih/cubos/tables/csap-groups-cid9.json`; g03 and g05 not comparable with 1998+)	`uf` = state of the hospital file (`MUNIC_RES` missing in 1992–93 and empty until Nov/1994); `municipality_code` null	null	nominal, in the currency of the billing month (Cr$ until 1993-06, CR$ 1993-07..1994-06, R$ from 1994-07) — see `currency` in the sidecar
1998–2007	ICD-10	`uf` = state of residence; municipality of residence	null	R$ nominal
2008–2025	ICD-10	residence	present	R$ nominal

Other 1992–1997 facts recorded in the sidecars: admissions without DT_INTER in the source (competencies 1992-01..04 and 1993-01) enter the cube with the billing month as month (records_date_imputed); 1997 also contains the admissions billed in 1998-01..04, already coded in ICD-10 (cid_revision = 10), whose ICSAP share is underestimated in Jan–Feb 1998 (adaptation to ICD-10). Full documentation: sih-br-mcp docs/analise-002-sih-1992-1997.md (source study) and docs/analise-003-icsap-cid9.md (derived ICSAP list and its validation on the 1997/98 boundary).

Provenance sidecar

sih_provenance_<year>.json (manifest_version 1.1.0) records, per year: the competency window and whether it is complete, the file states read, every sih/rd/ partition (path, SHA-256, record count, source .dbc URL, MD5, size, mirror processing timestamp), builder version and git commit, totals (records_read, records_in_cube, rows per cube, records_date_imputed), cid_revision counts, icsap_list_revision per revision, not_official_icsap, icsap_comparability (ICD-9 years), uf_basis (arquivo / residencia), municipality_available, currency, columns_missing and human-readable notes.

Reproducibility & provenance

Pipeline: scripts/pipeline/sih-cubos/ in the healthbr-data repository — build-aggregations.R (builder), rebuild-cubes.R (CLI), cube-delta.mjs, cubes-manifest.mjs, publish-cubes.sh; recipe in its README.md, operational reference in docs/reference-pipelines-pt.md §16.
Chain: DATASUS .dbc → sih/rd/ (1:1 Parquet, manifest with MD5 and download date) → builder (reads sih/rd/ through the R package healthbR) → sih/cubos/. The sidecar of each year lists every partition read, so a cube can be traced to the exact source files.
Gates before publishing: partition counts must equal the sih/rd/ manifest; the new sidecar is compared with the published one (lost partitions, drops > 1 %, regressed windows and unrequested scope changes fail the run); the reference consumer (sih-br-mcp) is started on the new cubes; every cube is verified with DuckDB against its sidecar before the manifest is signed.
Classification tables (sih/cubos/tables/): cid9-codes.json and cid9-chapters.json are generated from DATASUS's TAB_SIH_199201-199712.zip (CID9_*.CNV; a copy is kept in sih/cubos/insumos/, SHA-256 b433310785e08b5d2d0c5a438f495ac6b2af9a10d86d8741a3252bc268b1ff88), csap-universe.json from PROCOBST.CNV plus the csapAIH code lists; csap-groups.json transcribes Portaria MS/SAS 221/2008 and csap-groups-cid9.json is the derived ICD-9 list (sih-br-mcp docs/analise-003-icsap-cid9.md). Generators: scripts/pipeline/sih-cubos/tables/generators/.
Build log: data/controle_versao_sih_cubos.csv in the repository — one row per (year, build) with builder version, git commit, healthbR version, partitions, totals and the mirror manifest date; the channel (manifest.json + sidecars) is the state.
State is the channel: no sidecar is versioned in git; rebuilds start from the published sidecar (window, file states) and overwrite the year in place.

Data access

library(arrow); library(dplyr)
base <- "https://data.sidneybissoli.com/sih/cubos"
causas <- read_parquet(url(sprintf("%s/sih_causas_%d.parquet", base, 2023)))
causas |> group_by(cid_chapter) |> summarise(n = sum(n)) |> arrange(desc(n))

import pandas as pd
base = "https://data.sidneybissoli.com/sih/cubos"
icsap = pd.read_parquet(f"{base}/sih_icsap_2023.parquet")
universe = icsap[icsap["exclusion"].isna()]          # csapAIH convention
strata = ["year", "uf", "municipality_code", "cid_revision", "sex", "age", "race", "exclusion"]
share = universe["n"].sum() / universe.drop_duplicates(strata)["n_total"].sum()

The same files are served from the r2.dev URL of the bucket; the sih-br-mcp server downloads them on demand (SHA-256 checked against the manifest) and exposes them as MCP tools with the era notes above attached to every answer.

Citation

Ministério da Saúde. Sistema de Informações Hospitalares do SUS (SIH/SUS), AIH reduzida. Brasília: DATASUS. Aggregated by the healthbr-data sih-cubos pipeline (build-aggregations.R) from the sih/rd/ Parquet mirror; served to MCP clients by sih-br-mcp. Derived ICSAP list for 1992–1997 is not an official act.

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