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Hospitals Enrolled in Medicare

Source: R/cms-hospitals.R
hospitals.Rd

Hospitals currently enrolled in Medicare. Data includes the hospital's sub-group types, legal business name, doing-business-as name, organization type and address.

Usage

hospitals(
  npi = NULL,
  ccn = NULL,
  pac = NULL,
  enid = NULL,
  enid_state = NULL,
  org_name = NULL,
  dba_name = NULL,
  city = NULL,
  state = NULL,
  zip = NULL,
  multi = NULL,
  org_status = NULL,
  org_type = NULL,
  provider_type = NULL,
  location_type = NULL,
  subgroup = subgroups(),
  count = FALSE
)

subgroups(
  acute = NULL,
  drug = NULL,
  child = NULL,
  general = NULL,
  long = NULL,
  short = NULL,
  psych = NULL,
  rehab = NULL,
  swing = NULL,
  psych_unit = NULL,
  rehab_unit = NULL,
  specialty = NULL,
  other = NULL
)

hospitals2(
  ccn = NULL,
  org_name = NULL,
  city = NULL,
  state = NULL,
  zip = NULL,
  county = NULL,
  hosp_type = NULL,
  ownership = NULL,
  count = FALSE
)

Source

Arguments

npi

<int> National Provider Identifier

ccn

<int> CMS Certification Number

pac

<chr> PECOS Associate Control ID

enid, enid_state

<chr> Medicare Enrollment ID, Enrollment state

org_name

<chr> Legal business name

dba_name

<chr> Doing-business-as name

city, state, zip

<chr> Location city, state, zip

multi

<lgl> Does hospital have more than one NPI?

org_status

<enum> Organization status

  • P = Proprietary

  • N = Non-Profit

  • D = Unknown

org_type

<enum> Organization structure type

provider_type

<enum> Provider type;

  • hospital = Part A Hospital

  • reh = Rural Emergency Hospital

  • cah = Critical Access Hospital

location_type

<enum> Practice location type

  • main = Main/Primary Hospital Location

  • psych = Hospital Psychiatric Unit

  • rehab = Hospital Rehabilitation Unit

  • ext = Opt Extension Site

  • other = Other Hospital Practice Location

subgroup

<subgroups> Hospital’s subgroup/unit. See subgroups().

count

<lgl> Return the total row count

acute

<lgl> Acute Care

drug

<lgl> Alcohol/Drug Treatment

child

<lgl> Children's Hospital

general

<lgl> General Hospital

long

<lgl> Long-Term Care

short

<lgl> Short-Term Care

psych

<lgl> Psychiatric

rehab

<lgl> Rehabilitation

swing

<lgl> Swing-Bed Approved

psych_unit

<lgl> Psychiatric Unit

rehab_unit

<lgl> Rehabilitation Unit

specialty

<lgl> Specialty Hospital

other

<lgl> Unlisted on CMS form

county

<chr>

hosp_type

<chr>

ownership

<chr>

Value

A tibble

A <subgroups> object

Examples

hospitals(count = TRUE)
#> ✔ `hospitals` returned 9,187 results.
hospitals(state = "GA", provider_type = "reh")
#> ✔ `hospitals` returned 1 result.
#> # A data frame: 1 × 39
#>   org_name      org_dba enid  enid_state spec  specialty npi   multi ccn   ccn_2
#> * <chr>         <chr>   <chr> <chr>      <chr> <chr>     <chr> <chr> <chr> <chr>
#> 1 IRWIN COUNTY… PROGRE… O202… GA         00-24 PART A P… 1720… N     1107… 1101…
#> # ℹ 29 more variables: pac <chr>, inc_date <chr>, inc_state <chr>,
#> #   org_type <chr>, org_otxt <chr>, org_status <chr>, add_1 <chr>, add_2 <chr>,
#> #   city <chr>, state <chr>, zip <chr>, loc_type <chr>, loc_otxt <chr>,
#> #   reh_ind <chr>, reh_date <chr>, sub_general <chr>, sub_acute <chr>,
#> #   sub_drug <chr>, sub_child <chr>, sub_long <chr>, sub_psych <chr>,
#> #   sub_rehab <chr>, sub_short <chr>, sub_swing <chr>, sub_psych_unit <chr>,
#> #   sub_rehab_unit <chr>, sub_specialty <chr>, sub_other <chr>, …

x <- hospitals(
  city = "Atlanta",
  state = "GA",
  subgroup = subgroups(
    acute = FALSE,
    psych = TRUE))
#> ✔ `hospitals` returned 2 results.
x
#> # A data frame: 2 × 39
#>   org_name      org_dba enid  enid_state spec  specialty npi   multi ccn   ccn_2
#> * <chr>         <chr>   <chr> <chr>      <chr> <chr>     <chr> <chr> <chr> <chr>
#> 1 UHS OF ANCHO… ANCHOR… O201… GA         00-09 PART A P… 1023… Y     1140… NA   
#> 2 UHS OF PEACH… PEACHF… O201… GA         00-09 PART A P… 1093… N     1140… NA   
#> # ℹ 29 more variables: pac <chr>, inc_date <chr>, inc_state <chr>,
#> #   org_type <chr>, org_otxt <chr>, org_status <chr>, add_1 <chr>, add_2 <chr>,
#> #   city <chr>, state <chr>, zip <chr>, loc_type <chr>, loc_otxt <chr>,
#> #   reh_ind <chr>, reh_date <chr>, sub_general <chr>, sub_acute <chr>,
#> #   sub_drug <chr>, sub_child <chr>, sub_long <chr>, sub_psych <chr>,
#> #   sub_rehab <chr>, sub_short <chr>, sub_swing <chr>, sub_psych_unit <chr>,
#> #   sub_rehab_unit <chr>, sub_specialty <chr>, sub_other <chr>, …
hospitals2(ccn = x$ccn)
#> ✔ `hospitals2` returned 2 results.
#> # A data frame: 2 × 11
#>   ccn    org_name  address city  state zip   county phone type  ownership rating
#> * <chr>  <chr>     <chr>   <chr> <chr> <chr> <chr>  <chr> <chr> <chr>     <chr> 
#> 1 114010 PEACHFOR… 2151 P… ATLA… GA    30338 DE KA… (770… Psyc… Propriet… Not A…
#> 2 114032 SO CRESC… 5454 Y… COLL… GA    30349 FULTON (770… Psyc… Governme… Not A…

x <- hospitals2()
#> ! No Query → Returning first 10 rows.
x
#> # A data frame: 10 × 11
#>    ccn    org_name address city  state zip   county phone type  ownership rating
#>  * <chr>  <chr>    <chr>   <chr> <chr> <chr> <chr>  <chr> <chr> <chr>     <chr> 
#>  1 010001 SOUTHEA… 1108 R… DOTH… AL    36301 HOUST… (334… Acut… Governme… 4     
#>  2 010005 MARSHAL… 2505 U… BOAZ  AL    35957 MARSH… (256… Acut… Governme… 3     
#>  3 010006 NORTH A… 1701 V… FLOR… AL    35630 LAUDE… (256… Acut… Propriet… 2     
#>  4 010007 MIZELL … 702 N … OPP   AL    36467 COVIN… (334… Acut… Voluntar… 1     
#>  5 010008 CRENSHA… 101 HO… LUVE… AL    36049 CRENS… (334… Acut… Propriet… Not A…
#>  6 010011 ST. VIN… 50 MED… BIRM… AL    35235 JEFFE… (205… Acut… Voluntar… 2     
#>  7 010012 DEKALB … 200 ME… FORT… AL    35968 DE KA… (256… Acut… Propriet… 3     
#>  8 010016 SHELBY … 1000 F… ALAB… AL    35007 SHELBY (205… Acut… Voluntar… 2     
#>  9 010018 CALLAHA… 1720 U… BIRM… AL    35233 JEFFE… (205… Acut… Voluntar… Not A…
#> 10 010019 HELEN K… 1300 S… SHEF… AL    35660 COLBE… (256… Acut… Governme… 2     
hospitals(ccn = x$ccn)
#> ✔ `hospitals` returned 8 results.
#> # A data frame: 8 × 39
#>   org_name      org_dba enid  enid_state spec  specialty npi   multi ccn   ccn_2
#> * <chr>         <chr>   <chr> <chr>      <chr> <chr>     <chr> <chr> <chr> <chr>
#> 1 HOUSTON COUN… SOUTHE… O200… AL         00-09 PART A P… 1164… N     0100… NA   
#> 2 HH HEALTH SY… MARSHA… O201… AL         00-09 PART A P… 1407… N     0100… NA   
#> 3 RCHP - FLORE… NORTH … O201… AL         00-09 PART A P… 1477… N     0100… NA   
#> 4 MIZELL MEMOR… NA      O200… AL         00-09 PART A P… 1013… N     0100… NA   
#> 5 ST. VINCENT'… ST. VI… O200… AL         00-09 PART A P… 1841… N     0100… NA   
#> 6 HH HEALTH SY… DEKALB… O202… AL         00-09 PART A P… 1770… N     0100… NA   
#> 7 BBH SBMC, LLC BAPTIS… O201… AL         00-09 PART A P… 1811… N     0100… NA   
#> 8 HH HEALTH SY… HELEN … O201… AL         00-09 PART A P… 1508… N     0100… NA   
#> # ℹ 29 more variables: pac <chr>, inc_date <chr>, inc_state <chr>,
#> #   org_type <chr>, org_otxt <chr>, org_status <chr>, add_1 <chr>, add_2 <chr>,
#> #   city <chr>, state <chr>, zip <chr>, loc_type <chr>, loc_otxt <chr>,
#> #   reh_ind <chr>, reh_date <chr>, sub_general <chr>, sub_acute <chr>,
#> #   sub_drug <chr>, sub_child <chr>, sub_long <chr>, sub_psych <chr>,
#> #   sub_rehab <chr>, sub_short <chr>, sub_swing <chr>, sub_psych_unit <chr>,
#> #   sub_rehab_unit <chr>, sub_specialty <chr>, sub_other <chr>, …
subgroups(acute = TRUE, rehab = TRUE)
#> <subgroups>
#> • SUBGROUP %2D ACUTE CARE     : Y
#> • SUBGROUP %2D REHABILITATION : Y