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Providers with pending Medicare enrollment applications.

Usage

rhc_enroll(
  npi = NULL,
  ccn = NULL,
  pac = NULL,
  enid = NULL,
  enid_state = NULL,
  org_name = NULL,
  org_dba = NULL,
  city = NULL,
  state = NULL,
  zip = NULL,
  multi = NULL,
  status = NULL,
  org_type = NULL,
  count = FALSE,
  set = FALSE
)

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

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

  • D = Unknown

org_type

<enum> Organization structure type

  • corp = Corporation

  • other = Other

  • llc = LLC

  • part = Partnership

  • sole = Sole Proprietor

count

<lgl> Return the total row count

set

<lgl> Return the entire dataset

Value

A tibble

Examples

rhc_enroll(count = TRUE)
#>  rhc_enroll has 5,530 rows.

rhc_enroll() |> str()
#> ! rhc_enrollNo Query
#>  Returning first 10 rows...
#> tibble [10 × 18] (S3: tbl_df/tbl/data.frame)
#>  $ enid      : chr [1:10] "O20020813000023" "O20020813000025" "O20020814000001" "O20020814000004" ...
#>  $ enid_state: chr [1:10] "ND" "ND" "SD" "ND" ...
#>  $ npi       : int [1:10] 1497856025 1760570394 1801987904 1831286160 1558389338 1801811666 1669491262 1144207671 1295818524 1669560199
#>  $ multi     : int [1:10] 0 0 0 0 0 0 0 0 0 0
#>  $ ccn       : chr [1:10] "353982" "353983" "433987" "353981" ...
#>  $ pac       : chr [1:10] "0042127045" "0042127045" "0042127045" "0042127045" ...
#>  $ org_name  : chr [1:10] "WEST RIVER HEALTH SERVICES" "WEST RIVER HEALTH SERVICES" "WEST RIVER HEALTH SERVICES" "WEST RIVER HEALTH SERVICES" ...
#>  $ org_dba   : chr [1:10] "BOWMAN CLINIC" "WEST RIVER HEALTH CLINIC - SCRANTON" NA "NEW ENGLAND CLINIC" ...
#>  $ inc_date  : Date[1:10], format: "1977-01-06" NA ...
#>  $ inc_state : chr [1:10] "ND" NA "ND" "ND" ...
#>  $ org_type  : chr [1:10] "CORPORATION" "CORPORATION" "CORPORATION" "CORPORATION" ...
#>  $ org_otxt  : chr [1:10] NA NA NA NA ...
#>  $ status    : chr [1:10] "N" "N" "N" "N" ...
#>  $ city      : chr [1:10] "BOWMAN" "SCRANTON" "LEMMON" "NEW ENGLAND" ...
#>  $ state     : chr [1:10] "ND" "ND" "SD" "ND" ...
#>  $ zip       : chr [1:10] "586234507" "58653" "576381420" "586477017" ...
#>  $ phone     : chr [1:10] "7015233271" "7012756336" "6053743773" "7015794507" ...
#>  $ address   : chr [1:10] "608 HIGHWAY 12 WEST" "211 S MAIN ST" "411 MAIN AVE" "820 2ND AVE W" ...