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Clinician Demographics

Source: R/api-affiliation.R
clinicians.Rd

Demographics of clinicians listed in the Provider Data Catalog (PDC)

Usage

clinicians(
  npi = NULL,
  pac = NULL,
  enid = NULL,
  first = NULL,
  middle = NULL,
  last = NULL,
  suffix = NULL,
  gender = NULL,
  credential = NULL,
  specialty = NULL,
  school = NULL,
  grad_year = NULL,
  org_city = NULL,
  org_state = NULL,
  org_zip = NULL,
  org_name = NULL,
  org_pac = NULL,
  count = FALSE,
  set = FALSE
)

Source

Arguments

npi

<int> National Provider Identifier

pac

<chr> PECOS Associate Control ID

enid

<chr> Medicare Enrollment ID

first, middle, last, suffix

<chr> Individual provider's name

gender

<enum> Provider's gender; "F" (Female), "M" (Male), or "U" (Unknown)

credential

<chr> Provider's credential, i.e. "MD", "OD"

specialty

<chr> Provider’s primary medical specialty

school

<chr> Provider’s medical school

grad_year

<int> Provider’s graduation year

org_city, org_state, org_zip

<chr> Facility's city, state, zip

org_name

<chr> Facility associated with Provider

org_pac

<chr> Facility's PECOS Associate Control ID

count

<lgl> Return the total row count

set

<lgl> Return the entire dataset

Value

A tibble

Data Source

The Doctors and Clinicians National Downloadable File is organized such that each line is unique at the clinician/enrollment record/group/address level.

Clinicians with multiple Medicare enrollment records and/or single enrollments linking to multiple practice locations are listed on multiple lines.

Inclusion Criteria

A Clinician or Group must have:

  • Current and approved Medicare enrollment record in PECOS

  • Valid physical practice location or address

  • Valid specialty

  • National Provider Identifier

  • One Medicare FFS claim within the last six months

  • Two approved clinicians reassigning their benefits to the group

Examples

clinicians(count = TRUE, org_name = not_blank())
#> ✔ clinicians returned 2,586,064 results.

clinicians(enid = "I20081002000549")
#> ✔ clinicians returned 1 result.
#> # A tibble: 1 × 20
#>   first middle last  suffix gender cred  school grad_year specialty    npi pac  
#> * <chr> <chr>  <chr> <chr>  <chr>  <chr> <chr>      <int> <chr>      <int> <chr>
#> 1 DORO… E      MCCU… NA     F      AU    OTHER       2008 QUALIFIE… 1.41e9 8022…
#> # ℹ 9 more variables: enid <chr>, org_name <chr>, org_pac <chr>, org_mem <int>,
#> #   org_city <chr>, org_state <chr>, org_zip <chr>, org_phone <chr>,
#> #   org_add <chr>

clinicians(first = "Etan")
#> ✔ clinicians returned 11 results.
#> # A tibble: 11 × 20
#>    first middle last     suffix gender cred  school   grad_year specialty    npi
#>  * <chr> <chr>  <chr>    <chr>  <chr>  <chr> <chr>        <int> <chr>      <int>
#>  1 ETAN  ARIEL  MARKS    NA     M      DO    NOVA SO…      2013 PATHOLOGY 1.53e9
#>  2 ETAN  NA     EITCHES  NA     M      MD    COLUMBI…      2010 EMERGENC… 1.41e9
#>  3 ETAN  ARIEL  MARKS    NA     M      DO    NOVA SO…      2013 PATHOLOGY 1.53e9
#>  4 ETAN  NA     DAYAN    NA     M      MD    STATE U…      2012 DIAGNOST… 1.70e9
#>  5 ETAN  NA     SPIRA    NA     M      MD    NEW YOR…      2007 GASTROEN… 1.00e9
#>  6 ETAN  NA     EITCHES  NA     M      MD    COLUMBI…      2010 EMERGENC… 1.41e9
#>  7 ETAN  NA     SPIRA    NA     M      MD    NEW YOR…      2007 GASTROEN… 1.00e9
#>  8 ETAN  NA     EITCHES  NA     M      MD    COLUMBI…      2010 EMERGENC… 1.41e9
#>  9 ETAN  NA     SUGARMAN NA     M      NA    ALBERT …      2011 ORTHOPED… 1.24e9
#> 10 ETAN  NA     SUGARMAN NA     M      NA    ALBERT …      2011 ORTHOPED… 1.24e9
#> 11 ETAN  NA     SUGARMAN NA     M      NA    ALBERT …      2011 ORTHOPED… 1.24e9
#> # ℹ 10 more variables: pac <chr>, enid <chr>, org_name <chr>, org_pac <chr>,
#> #   org_mem <int>, org_city <chr>, org_state <chr>, org_zip <chr>,
#> #   org_phone <chr>, org_add <chr>