Banco com 100 registros de um 'arquivo da AIH' (RD??????.DBC).

Amostra aleatória de 100 registros e todas as variáveis de um "arquivo da AIH" (RD??????.DBC), ano 2018.

Usage

data(aih100)

Format

An object of class data.frame with 100 rows and 113 columns.

Source

http://www2.datasus.gov.br/DATASUS/index.php?area=0901

References

Brasil. Ministério da Saúde. Secretaria de Atenção à Saúde. Departamento de Regulação, Avaliação e Controle. Coordenação Geral de Sistemas de Informação - 2014. SIH – Sistema de Informação Hospitalar do SUS: Manual Técnico Operacional do Sistema. Ministério da Saúde: Brasília, 2015. 87p.

Examples

data("aih100")
str(aih100)
#> 'data.frame':	100 obs. of  113 variables:
#>  $ UF_ZI     : Factor w/ 63 levels "430000","430070",..: 1 60 55 42 1 1 1 15 42 1 ...
#>  $ ANO_CMPT  : Factor w/ 1 level "2018": 1 1 1 1 1 1 1 1 1 1 ...
#>  $ MES_CMPT  : Factor w/ 1 level "01": 1 1 1 1 1 1 1 1 1 1 ...
#>  $ ESPEC     : Factor w/ 12 levels "01","02","03",..: 3 2 1 1 7 3 1 3 1 1 ...
#>  $ CGC_HOSP  : Factor w/ 261 levels "00765384000133",..: 104 111 NA 192 83 211 171 88 40 104 ...
#>  $ N_AIH     : Factor w/ 60477 levels "4313102362129",..: 26471 57886 6357 39499 25436 10259 2406 23767 41266 7866 ...
#>  $ IDENT     : Factor w/ 2 levels "1","5": 1 1 1 1 1 1 1 1 1 1 ...
#>  $ CEP       : Factor w/ 13493 levels "03315000","04618003",..: 13451 8635 4404 6011 13008 9738 13065 8100 6174 13332 ...
#>  $ MUNIC_RES : Factor w/ 574 levels "110020","110140",..: 226 523 495 261 168 419 427 238 560 223 ...
#>  $ NASC      : Factor w/ 25848 levels "19050128","19070106",..: 2855 19158 13297 23675 25758 15121 3265 12653 8468 8017 ...
#>  $ SEXO      : Factor w/ 2 levels "1","3": 2 2 2 2 1 2 2 1 2 2 ...
#>  $ UTI_MES_IN: int  0 0 0 0 0 0 0 0 0 0 ...
#>  $ UTI_MES_AN: int  0 0 0 0 0 0 0 0 0 0 ...
#>  $ UTI_MES_AL: int  0 0 0 0 0 0 0 0 0 0 ...
#>  $ UTI_MES_TO: int  0 0 0 0 0 6 0 0 0 12 ...
#>  $ MARCA_UTI : Factor w/ 11 levels "00","01","74",..: 1 1 1 1 1 4 1 1 1 4 ...
#>  $ UTI_INT_IN: int  0 0 0 0 0 0 0 0 0 0 ...
#>  $ UTI_INT_AN: int  0 0 0 0 0 0 0 0 0 0 ...
#>  $ UTI_INT_AL: int  0 0 0 0 0 0 0 0 0 0 ...
#>  $ UTI_INT_TO: int  0 0 0 0 0 0 0 0 0 0 ...
#>  $ DIAR_ACOM : int  7 2 0 1 2 0 0 0 0 2 ...
#>  $ QT_DIARIAS: int  0 2 1 1 2 8 1 2 11 12 ...
#>  $ PROC_SOLIC: Factor w/ 1175 levels "0201010127","0201010135",..: 197 978 657 1045 168 96 530 186 67 584 ...
#>  $ PROC_REA  : Factor w/ 1112 levels "0201010127","0201010135",..: 192 924 620 985 164 103 396 182 690 552 ...
#>  $ VAL_SH    : num  538 521 478 370 240 ...
#>  $ VAL_SP    : num  68.7 276.4 122.4 338 38.8 ...
#>  $ VAL_SADT  : num  0 0 0 0 0 0 0 0 0 0 ...
#>  $ VAL_RN    : num  0 0 0 0 0 0 0 0 0 0 ...
#>  $ VAL_ACOMP : num  0 0 0 0 0 0 0 0 0 0 ...
#>  $ VAL_ORTP  : num  0 0 0 0 0 0 0 0 0 0 ...
#>  $ VAL_SANGUE: num  0 0 0 0 0 0 0 0 0 0 ...
#>  $ VAL_SADTSR: num  0 0 0 0 0 0 0 0 0 0 ...
#>  $ VAL_TRANSP: num  0 0 0 0 0 0 0 0 0 0 ...
#>  $ VAL_OBSANG: num  0 0 0 0 0 0 0 0 0 0 ...
#>  $ VAL_PED1AC: num  0 0 0 0 0 0 0 0 0 0 ...
#>  $ VAL_TOT   : num  607 798 601 708 279 ...
#>  $ VAL_UTI   : num  0 0 0 0 0 ...
#>  $ US_TOT    : num  187 246 185 218 86 ...
#>  $ DT_INTER  : Factor w/ 235 levels "20130610","20131001",..: 194 222 195 220 144 152 129 199 213 139 ...
#>  $ DT_SAIDA  : Factor w/ 182 levels "20170801","20170802",..: 148 171 143 168 93 112 77 148 171 110 ...
#>  $ DIAG_PRINC: Factor w/ 3254 levels "A009","A020",..: 2131 2444 2887 1189 2567 1219 1286 270 328 1766 ...
#>  $ DIAG_SECUN: Factor w/ 1 level "0000": 1 1 1 1 1 1 1 1 1 1 ...
#>  $ COBRANCA  : Factor w/ 26 levels "11","12","14",..: 2 21 2 2 2 20 1 2 2 20 ...
#>  $ NATUREZA  : Factor w/ 1 level "00": 1 1 1 1 1 1 1 1 1 1 ...
#>  $ NAT_JUR   : Factor w/ 13 levels "1023","1104",..: 5 13 6 9 13 13 13 13 8 5 ...
#>  $ GESTAO    : Factor w/ 2 levels "1","2": 2 1 1 1 2 2 2 1 1 2 ...
#>  $ RUBRICA   : int  0 0 0 0 0 0 0 0 0 0 ...
#>  $ IND_VDRL  : Factor w/ 2 levels "0","1": 1 1 1 1 1 1 1 1 1 1 ...
#>  $ MUNIC_MOV : Factor w/ 232 levels "430003","430010",..: 65 212 195 142 47 150 133 48 142 65 ...
#>  $ COD_IDADE : Factor w/ 4 levels "2","3","4","5": 3 3 3 3 1 3 3 3 3 3 ...
#>  $ IDADE     : int  79 27 46 10 2 39 78 48 61 62 ...
#>  $ DIAS_PERM : int  7 2 1 1 2 13 1 2 11 24 ...
#>  $ MORTE     : int  0 0 0 0 0 0 0 0 0 0 ...
#>  $ NACIONAL  : Factor w/ 32 levels "010","020","021",..: 1 1 1 1 1 1 1 1 1 1 ...
#>  $ NUM_PROC  : Factor w/ 0 levels: NA NA NA NA NA NA NA NA NA NA ...
#>  $ CAR_INT   : Factor w/ 4 levels "01","02","05",..: 2 2 1 1 2 2 2 2 2 2 ...
#>  $ TOT_PT_SP : int  0 0 0 0 0 0 0 0 0 0 ...
#>  $ CPF_AUT   : Factor w/ 0 levels: NA NA NA NA NA NA NA NA NA NA ...
#>  $ HOMONIMO  : Factor w/ 3 levels "0","1","2": 1 1 1 1 1 1 1 1 1 1 ...
#>  $ NUM_FILHOS: int  0 0 0 0 0 0 0 0 0 0 ...
#>  $ INSTRU    : Factor w/ 5 levels "0","1","2","3",..: 1 1 1 1 1 1 1 1 1 1 ...
#>  $ CID_NOTIF : Factor w/ 1 level "Z302": NA NA NA NA NA NA NA NA NA NA ...
#>  $ CONTRACEP1: Factor w/ 6 levels "00","06","08",..: 1 1 1 1 1 1 1 1 1 1 ...
#>  $ CONTRACEP2: Factor w/ 6 levels "00","06","08",..: 1 1 1 1 1 1 1 1 1 1 ...
#>  $ GESTRISCO : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
#>  $ INSC_PN   : Factor w/ 2396 levels "000000000000",..: 1 1780 1 1 1 1 1 1 1 1 ...
#>  $ SEQ_AIH5  : Factor w/ 1 level "000": 1 1 1 1 1 1 1 1 1 1 ...
#>  $ CBOR      : Factor w/ 5 levels "000000","225125",..: 1 1 1 1 1 1 1 1 1 1 ...
#>  $ CNAER     : Factor w/ 2 levels "000","851": 1 1 1 1 1 1 1 1 1 1 ...
#>  $ VINCPREV  : Factor w/ 2 levels "0","1": 1 1 1 1 1 1 1 1 1 1 ...
#>  $ GESTOR_COD: Factor w/ 16 levels "00000","00007",..: 1 1 1 1 1 1 1 1 1 2 ...
#>  $ GESTOR_TP : Factor w/ 2 levels "0","1": 1 1 1 1 1 1 2 1 1 2 ...
#>  $ GESTOR_CPF: Factor w/ 49 levels "000000000000000",..: 1 1 1 1 1 1 36 1 1 36 ...
#>  $ GESTOR_DT : Factor w/ 0 levels: NA NA NA NA NA NA NA NA NA NA ...
#>  $ CNES      : Factor w/ 277 levels "2223538","2223546",..: 236 174 37 77 122 41 129 2 78 236 ...
#>  $ CNPJ_MANT : Factor w/ 35 levels "03066309000172",..: NA NA 14 NA NA NA NA NA NA NA ...
#>  $ INFEHOSP  : Factor w/ 0 levels: NA NA NA NA NA NA NA NA NA NA ...
#>  $ CID_ASSO  : Factor w/ 1 level "0000": 1 1 1 1 1 1 1 1 1 1 ...
#>  $ CID_MORTE : Factor w/ 1 level "0000": 1 1 1 1 1 1 1 1 1 1 ...
#>  $ COMPLEX   : Factor w/ 2 levels "02","03": 1 1 1 1 1 1 2 2 1 1 ...
#>  $ FINANC    : Factor w/ 2 levels "04","06": 2 2 2 2 2 2 2 2 2 2 ...
#>  $ FAEC_TP   : Factor w/ 13 levels "040014","040016",..: NA NA NA NA NA NA NA NA NA NA ...
#>  $ REGCT     : Factor w/ 5 levels "0000","7102",..: 1 1 1 5 1 1 1 1 4 1 ...
#>  $ RACA_COR  : Factor w/ 6 levels "01","02","03",..: 1 1 1 1 6 1 1 1 1 3 ...
#>  $ ETNIA     : Factor w/ 7 levels "0000","0001",..: 1 1 1 1 1 1 1 1 1 1 ...
#>  $ SEQUENCIA : int  28000 158 36 5774 13434 3408 15626 1630 2869 26760 ...
#>  $ REMESSA   : Factor w/ 63 levels "HE43000001N201801.DTS",..: 1 60 55 42 1 1 1 15 42 1 ...
#>  $ AUD_JUST  : Factor w/ 11 levels "7021087628254",..: NA NA NA NA NA NA NA NA NA NA ...
#>  $ SIS_JUST  : Factor w/ 20 levels "702108762825496",..: NA NA NA NA NA NA NA NA NA NA ...
#>  $ VAL_SH_FED: num  0 0 0 0 0 0 0 0 0 0 ...
#>  $ VAL_SP_FED: num  0 0 0 0 0 0 0 0 0 0 ...
#>  $ VAL_SH_GES: num  0 0 0 0 0 0 0 0 0 0 ...
#>  $ VAL_SP_GES: num  0 0 0 0 0 0 0 0 0 0 ...
#>  $ VAL_UCI   : num  0 0 0 0 0 0 0 0 0 0 ...
#>  $ MARCA_UCI : Factor w/ 4 levels "00","01","02",..: 1 1 1 1 1 1 1 1 1 1 ...
#>  $ DIAGSEC1  : Factor w/ 675 levels "A049","A058",..: NA NA 523 NA NA NA NA NA NA NA ...
#>  $ DIAGSEC2  : Factor w/ 92 levels "A158","A419",..: NA NA NA NA NA NA NA NA NA NA ...
#>  $ DIAGSEC3  : Factor w/ 41 levels "A419","B182",..: NA NA NA NA NA NA NA NA NA NA ...
#>  $ DIAGSEC4  : Factor w/ 10 levels "A419","A499",..: NA NA NA NA NA NA NA NA NA NA ...
#>   [list output truncated]
#>  - attr(*, "data_types")= chr [1:113] "C" "C" "C" "C" ...