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 statusP= ProprietaryN= Non-ProfitD= Unknown
- org_type
<enum>Organization structure typecorp= Corporationother= Otherllc= LLCpart= Partnershipsole= Sole Proprietor
- count
<lgl>Return the total row count- set
<lgl>Return the entire dataset
Value
A tibble
Examples
rhc_enroll(count = TRUE)
#> ℹ rhc_enroll has 5,530 rows.
rhc_enroll() |> str()
#> ! rhc_enroll ❯ No Query
#> ℹ 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" ...