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Hospitals Enrolled in Medicare

Source: R/end-hospital.R
hospital.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

hospital(
  npi = NULL,
  ccn = NULL,
  pac = NULL,
  enid = NULL,
  org_name = NULL,
  org_dba = NULL,
  city = NULL,
  state = NULL,
  zip = NULL,
  multi = NULL,
  status = NULL,
  org_type = NULL,
  prov_type = NULL,
  loc_type = NULL,
  subgroup = subgroups(),
  count = FALSE,
  chains = FALSE
)

Source

Arguments

npi

<int> National Provider Identifier

ccn

<int> CMS Certification Number

pac

<chr> PECOS Associate Control ID

enid

<chr> Medicare Enrollment ID

org_name

<chr> Legal business name

org_dba

<chr> Doing-business-as name

city, state, zip

<chr> Location city, state, zip

multi

<lgl> Does hospital have more than one NPI?

status

<enum> Organization status

  • P = Proprietary

  • N = Non-Profit

org_type

<enum> Organization structure type

  • corp = Corporation

  • llc = LLC

  • other = Other

  • part = Partnership

  • sole = Sole Proprietor

prov_type

<enum> Provider type:

  • hospital = Medicare Part A Hospital

  • reh = Rural Emergency Hospital

  • cah = Critical Access Hospital

loc_type

<enum> Practice location type

  • main = Main/Primary Hospital Location

  • psych = Hospital Psychiatric Unit

  • rehab = Hospital Rehabilitation Unit

  • swing = Hospital Swing-Bed 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

chains

<lgl> Add search chains

Value

A tibble containing the search results.

Examples

hospital(count = TRUE)
#> ◼ hospital | 9,175 rows | 2 pages

hospital(prov_type = "cah", state = "GA")
#> ✔ hospital returned 65 results
#> # A tibble: 65 × 16
#>    org_name    org_dba ccn      npi pac   enid  multi inc_date   org_type status
#>    <chr>       <chr>   <chr>  <int> <chr> <chr> <int> <date>     <chr>    <chr> 
#>  1 BROOKS COU… ARCHBO… 11Z3… 1.58e9 1557… O200…     0 NA         Other: … Non-P…
#>  2 HOSPITAL A… ARCHBO… 1113… 1.70e9 6002… O200…     0 NA         Other: … Non-P…
#>  3 HOSPITAL A… ARCHBO… 11Z3… 1.44e9 6002… O200…     0 NA         Other: … Non-P…
#>  4 PUTNAM GEN… PUTNAM… 1113… 1.39e9 4688… O200…     0 1968-03-01 Other: … Non-P…
#>  5 PUTNAM GEN… PUTNAM… 11Z3… 1.55e9 4688… O200…     0 1968-03-01 Other: … For-P…
#>  6 THE HOSPIT… MILLER… 1113… 1.11e9 0244… O200…     0 NA         Other: … Non-P…
#>  7 THE HOSPIT… MILLER… 11Z3… 1.29e9 0244… O200…     0 NA         Other: … Non-P…
#>  8 PROFESSION… MOUNTA… 1113… 1.33e9 1052… O200…     0 2004-12-17 LLC      For-P…
#>  9 HOSPITAL A… WILLS … 1113… 1.62e9 8628… O200…     0 NA         Other: … Non-P…
#> 10 HOSPITAL A… WILLS … 11Z3… 1.48e9 8628… O200…     0 NA         Other: … Non-P…
#> # ℹ 55 more rows
#> # ℹ 6 more variables: loc_type <chr>, address <chr>, city <chr>, state <chr>,
#> #   zip <chr>, sub_group <chr>

hospital(
  city = "Atlanta",
  state = "GA",
  subgroup = subgroups(acute = FALSE)
)
#> ✔ hospital returned 12 results
#> # A tibble: 12 × 16
#>    org_name    org_dba ccn      npi pac   enid  multi inc_date   org_type status
#>  * <chr>       <chr>   <chr>  <int> <chr> <chr> <int> <date>     <chr>    <chr> 
#>  1 SCOTTISH R… CHILDR… 1133… 1.92e9 4981… O200…     0 1915-04-10 Corp     Non-P…
#>  2 PIEDMONT H… NA      1100… 1.96e9 8628… O200…     0 1940-06-26 Corp     Non-P…
#>  3 EMORY UNIV… EMORY … 11S0… 1.44e9 3173… O200…     1 1994-03-04 Corp     Non-P…
#>  4 EMORY UNIV… EMORY … 11T0… 1.36e9 3173… O200…     1 1994-03-04 Corp     Non-P…
#>  5 ARTHUR M. … NA      1133… 1.69e9 2567… O200…     0 1943-09-18 Corp     Non-P…
#>  6 GRADY MEMO… GRADY … 11S0… 1.63e9 7517… O200…     0 2007-12-21 Corp     Non-P…
#>  7 UHS OF ANC… ANCHOR… 1140… 1.02e9 4486… O201…     1 2000-06-02 Partner… For-P…
#>  8 UHS OF PEA… PEACHF… 1140… 1.09e9 9234… O201…     0 2000-06-02 Partner… For-P…
#>  9 SHEPHERD C… NA      1120… 1.04e9 1052… O201…     0 1975-04-21 Corp     Non-P…
#> 10 ES REHABIL… EMORY … 1130… 1.55e9 1254… O201…     0 2013-10-15 LLC      For-P…
#> 11 SELECT SPE… SELECT… 1120… 1.24e9 6305… O201…     0 NA         LLC      For-P…
#> 12 REHABILITA… REHABI… 1130… 1.54e9 5698… O202…     0 2020-10-16 LLC      For-P…
#> # ℹ 6 more variables: loc_type <chr>, address <chr>, city <chr>, state <chr>,
#> #   zip <chr>, sub_group <chr>

hospital(ccn = ends("F"))
#> ✔ hospital returned 1 result
#> # A tibble: 1 × 16
#>   org_name     org_dba ccn      npi pac   enid  multi inc_date org_type   status
#> * <chr>        <chr>   <chr>  <int> <chr> <chr> <int> <date>   <chr>      <chr> 
#> 1 BROOKE ARMY… NA      4506… 1.92e9 4587… O200…     0 NA       Other: DE… Non-P…
#> # ℹ 6 more variables: loc_type <chr>, address <chr>, city <chr>, state <chr>,
#> #   zip <chr>, sub_group <chr>
hospital(ccn = ends("E"))
#> ✔ hospital returned 2 results
#> # A tibble: 2 × 16
#>   org_name     org_dba ccn      npi pac   enid  multi inc_date org_type   status
#> * <chr>        <chr>   <chr>  <int> <chr> <chr> <int> <date>   <chr>      <chr> 
#> 1 DEPARTMENT … PATTON… 0512… 1.04e9 9638… O200…     0 NA       Other: ST… Non-P…
#> 2 DEPARTMENT … ATASCA… 0512… 1.17e9 9638… O200…     0 NA       Other: FE… Non-P…
#> # ℹ 6 more variables: loc_type <chr>, address <chr>, city <chr>, state <chr>,
#> #   zip <chr>, sub_group <chr>