Prepare SIH hospital-admission microdata — process_sih • microdatasus

Recodes supported fields from reduced hospital-admission records ("SIH-RD") into descriptive values and normalizes escaped Unicode text.

Usage

process_sih(data, information_system = "SIH-RD", municipality_data = TRUE)

Arguments

data: A data frame returned by fetch_datasus() with information_system = "SIH-RD", or a compatible layout.
information_system: A single character string. Currently only "SIH-RD" is supported.
municipality_data: Logical scalar. If TRUE, add municipality names and available territorial attributes for supported municipality-code columns.

Value

A tibble with character columns. Supported codes are replaced with descriptions, and municipality fields are added when requested and available.

Details

Columns not explicitly recoded are retained, but Unicode normalization is applied to every column and consequently the returned tibble contains character columns. Other SIH layouts downloadable with fetch_datasus() are not currently supported by this processing function.

References

Saldanha, R. F. (2026). SIH – Sistema de Informações Hospitalares do SUS.

See also

fetch_datasus()

Examples

process_sih(sih_rd_sample)
#> # A tibble: 100 × 121
#>    UF_ZI  ANO_CMPT MES_CMPT ESPEC CGC_HOSP     N_AIH IDENT CEP   MUNIC_RES NASC 
#>    <chr>  <chr>    <chr>    <chr> <chr>        <chr> <chr> <chr> <chr>     <chr>
#>  1 120000 2016     6        03    04034526001… 1216… Prin… 6994… 120050    1934…
#>  2 120000 2016     6        03    04034526001… 1216… Prin… 6994… 120050    1982…
#>  3 120000 2016     6        03    04034526001… 1216… Prin… 6994… 120050    1973…
#>  4 120000 2016     6        03    04034526001… 1216… Prin… 6994… 120050    1938…
#>  5 120000 2016     6        03    04034526001… 1216… Prin… 6994… 120050    1943…
#>  6 120000 2016     6        03    04034526001… 1216… Prin… 6994… 120050    1947…
#>  7 120000 2016     6        01    04034526002… 1216… Prin… 6998… 120020    2006…
#>  8 120000 2016     6        01    04034526002… 1216… Prin… 6998… 120020    1978…
#>  9 120000 2016     6        02    04034526001… 1216… Prin… 6994… 120050    1993…
#> 10 120000 2016     6        02    04034526001… 1216… Prin… 6994… 120050    1992…
#> # ℹ 90 more rows
#> # ℹ 111 more variables: SEXO <chr>, UTI_MES_IN <chr>, UTI_MES_AN <chr>,
#> #   UTI_MES_AL <chr>, UTI_MES_TO <chr>, MARCA_UTI <chr>, UTI_INT_IN <chr>,
#> #   UTI_INT_AN <chr>, UTI_INT_AL <chr>, UTI_INT_TO <chr>, DIAR_ACOM <chr>,
#> #   QT_DIARIAS <chr>, PROC_SOLIC <chr>, PROC_REA <chr>, VAL_SH <chr>,
#> #   VAL_SP <chr>, VAL_SADT <chr>, VAL_RN <chr>, VAL_ACOMP <chr>,
#> #   VAL_ORTP <chr>, VAL_SANGUE <chr>, VAL_SADTSR <chr>, VAL_TRANSP <chr>, …