Providing easy access to healthcare provider data through publicly available APIs.
You can install provider from GitHub with:
# install.packages("pak")
pak::pak("andrewallenbruce/provider")library(provider)
library(dplyr)
library(tidyr)affiliations(npi = 1023630738,
pac = 9032521372,
facility_ccn = 370781) |>
glimpse()#> Rows: 1
#> Columns: 6
#> $ npi <chr> "1023630738"
#> $ pac <chr> "9032521372"
#> $ first <chr> "ALYSIA"
#> $ last <chr> "SMITH"
#> $ facility_type <fct> Hospital
#> $ facility_ccn <chr> "370781"
beneficiaries(year = 2024,
period = "Month",
level = "County",
state = "GA",
county = "Lowndes County") |>
glimpse()#> Rows: 3
#> Columns: 26
#> $ year <int> 2024, 2024, 2024
#> $ period <ord> January, February, March
#> $ level <ord> County, County, County
#> $ state <ord> GA, GA, GA
#> $ state_name <ord> Georgia, Georgia, Georgia
#> $ county <chr> "Lowndes County", "Lowndes County", "Lowndes County"
#> $ fips <chr> "13185", "13185", "13185"
#> $ bene_total <int> 20848, 20854, 20874
#> $ bene_orig <int> 10648, 10609, 10579
#> $ bene_ma_oth <int> 10200, 10245, 10295
#> $ bene_total_aged <int> 17556, 17561, 17581
#> $ bene_aged_esrd <int> 118, 114, 112
#> $ bene_aged_no_esrd <int> 17438, 17447, 17469
#> $ bene_total_dsb <int> 3292, 3293, 3293
#> $ bene_dsb_esrd <int> 144, 144, 142
#> $ bene_dsb_no_esrd <int> 3148, 3149, 3151
#> $ bene_total_ab <int> 19357, 19403, 19424
#> $ bene_ab_orig <int> 9172, 9173, 9148
#> $ bene_ab_ma_oth <int> 10185, 10230, 10276
#> $ bene_total_rx <int> 15492, 15512, 15529
#> $ bene_rx_pdp <int> 5868, 5835, 5809
#> $ bene_rx_mapd <int> 9624, 9677, 9720
#> $ bene_rx_lis_elig <int> 5669, 5675, 5678
#> $ bene_rx_lis_full <int> 600, 595, 601
#> $ bene_rx_lis_part <int> 23, 23, 22
#> $ bene_rx_lis_no <int> 9200, 9219, 9228
clinicians(npi = 1932365699) |>
glimpse()#> Rows: 1
#> Columns: 19
#> $ npi <chr> "1932365699"
#> $ pac <chr> "0042370496"
#> $ enid <chr> "I20171107000894"
#> $ first <chr> "STEFAN"
#> $ middle <chr> "MICHAEL"
#> $ last <chr> "SMITH"
#> $ gender <fct> Male
#> $ credential <chr> "OD"
#> $ school <chr> "ILLINOIS COLLEGE OF OPTOMETRY AT CHICAGO"
#> $ grad_year <int> 2008
#> $ specialty <chr> "OPTOMETRY"
#> $ facility_name <chr> "LEE ANN HOVEN OD PC"
#> $ pac_org <chr> "5193882009"
#> $ members_org <int> 2
#> $ address_org <chr> "1165 S CAMINO DEL RIO SUITE 100"
#> $ city_org <chr> "DURANGO"
#> $ state_org <ord> CO
#> $ zip_org <chr> "81303"
#> $ phone_org <chr> "9702478762"
hospitals(npi = 1720098791) |>
glimpse()#> Rows: 1
#> Columns: 22
#> $ npi_org <chr> "1720098791"
#> $ pac_org <chr> "7618950643"
#> $ enid_org <chr> "O20230310002325"
#> $ enid_state <ord> GA
#> $ facility_ccn <chr> "110779"
#> $ organization <chr> "IRWIN COUNTY HOSPITAL"
#> $ doing_business_as <chr> "PROGRESSIVE MEDICAL ENTERPRISE"
#> $ specialty_code <chr> "00-24"
#> $ specialty <chr> "PART A PROVIDER - RURAL EMERGENCY HOSPITAL (REH)"
#> $ incorp_state <ord> GA
#> $ structure <chr> "OTHER: HOSPITAL AUTHORITY"
#> $ address <chr> "710 N IRWIN AVE"
#> $ city <chr> "OCILLA"
#> $ state <ord> GA
#> $ zip <chr> "31774"
#> $ location_type <chr> "OTHER HOSPITAL PRACTICE LOCATION: REH"
#> $ registration <fct> Non-Profit
#> $ multi_npi <lgl> FALSE
#> $ reh_date <date> 2023-03-23
#> $ reh_ccns <chr> "110130"
#> $ reh_conversion <lgl> TRUE
#> $ subgroup <fct> None
laboratories(clia = "11D0265516") |>
glimpse()#> Rows: 1
#> Columns: 25
#> $ clia_number <chr> "11D0265516"
#> $ provider_name <chr> "DANIEL FELDMAN MD"
#> $ certificate <ord> Compliance
#> $ clia_medicare <chr> "00205114A3"
#> $ effective_date <date> 1996-08-29
#> $ expiration_date <date> 1998-08-04
#> $ expired <lgl> TRUE
#> $ termination_reason <ord> "Mail Returned No Forward Address Cert Ended (CL…
#> $ status <ord> In Compliance
#> $ poc_ind <lgl> TRUE
#> $ type_of_action <ord> Recertification
#> $ ownership_type <fct> Proprietary
#> $ facility_type <ord> Physician Office
#> $ director_affiliations <int> 0
#> $ address <chr> "205 WOODROW WILSON DR"
#> $ city <chr> "VALDOSTA"
#> $ state <ord> GA
#> $ zip <chr> "31602"
#> $ phone <chr> "8032619888"
#> $ orig_part_date <date> 1992-09-01
#> $ application_date <date> 1993-01-20
#> $ certification_date <date> 1996-03-21
#> $ mailed_date <date> 1996-09-25
#> $ region <fct> Atlanta
#> $ clia_class_current <fct> CLIA Lab
nppes(npi = 1497535637) |>
glimpse()#> Rows: 1
#> Columns: 23
#> $ npi <chr> "1497535637"
#> $ entity_type <fct> Individual
#> $ enum_date <date> 2023-10-04
#> $ cert_date <date> 2023-10-05
#> $ last_update <date> 2023-10-05
#> $ status <fct> Active
#> $ first <chr> "CARTER"
#> $ last <chr> "ADAMS"
#> $ gender <fct> Male
#> $ credential <chr> "NP-BC"
#> $ sole_prop <lgl> FALSE
#> $ purpose <fct> Practice
#> $ address <chr> "2501 N PATTERSON ST"
#> $ city <chr> "VALDOSTA"
#> $ state <ord> GA
#> $ zip <chr> "31602"
#> $ country <chr> "US"
#> $ phone <chr> "229-433-1000"
#> $ tx_code <chr> "363L00000X"
#> $ tx_primary <lgl> TRUE
#> $ tx_desc <chr> "Nurse Practitioner"
#> $ tx_license <chr> "RN272237"
#> $ tx_state <ord> GA
open_payments(year = 2021,
npi = 1023630738,
na.rm = TRUE) |>
glimpse()#> Rows: 1
#> Columns: 46
#> $ program_year <int> 2021
#> $ npi <chr> "1023630738"
#> $ covered_recipient <fct> Non-Physician Practitioner
#> $ first <chr> "ALYSIA"
#> $ middle <chr> "MOTA"
#> $ last <chr> "SMITH"
#> $ address <chr> "610 N HOY ST"
#> $ city <chr> "BUFFALO"
#> $ state <ord> OK
#> $ zip <chr> "73834"
#> $ country <chr> "United States"
#> $ primary <chr> "Physician Assistant"
#> $ specialty <chr> "Physician Assistants & Advanced Practice Nursing …
#> $ license_state <ord> OK
#> $ physician_ownership <lgl> FALSE
#> $ third_party_payment <chr> "No Third Party Payment"
#> $ publish_date <date> 2024-06-28
#> $ publish_delay <lgl> FALSE
#> $ publish_dispute <lgl> FALSE
#> $ related_product <lgl> TRUE
#> $ payer_id <chr> "100000866821"
#> $ payer_sub <chr> "Organon LLC"
#> $ payer_name <chr> "Organon LLC"
#> $ payer_state <ord> NJ
#> $ payer_country <chr> "United States"
#> $ pay_form <chr> "In-kind items and services"
#> $ pay_nature <chr> "Food and Beverage"
#> $ pay_total <dbl> 17.43
#> $ pay_date <date> 2021-08-25
#> $ pay_count <int> 1
#> $ row_id <int> 1
#> $ group_id <int> 1
#> $ name <chr> "NEXPLANON"
#> $ covered <lgl> TRUE
#> $ type <chr> "Drug"
#> $ category <chr> "CONTRACEPTIVES"
#> $ ndc <chr> "78206-145-01"
#> $ ndc.rxcui <chr> "1111011"
#> $ ndc.atc <chr> "G03AC"
#> $ ndc.status <chr> "ACTIVE"
#> $ ndc.brand_name <chr> "NEXPLANON"
#> $ ndc.drug_name <chr> "etonogestrel 68 MG Drug Implant [Nexplanon]"
#> $ ndc.atc_first <chr> "genito urinary system and sex hormones"
#> $ ndc.atc_second <chr> "sex hormones and modulators of the genital system"
#> $ ndc.atc_third <chr> "hormonal contraceptives for systemic use"
#> $ ndc.atc_fourth <chr> "progestogens"
opt_out(npi = 1043522824) |>
glimpse()#> Rows: 1
#> Columns: 12
#> $ npi <chr> "1043522824"
#> $ first <chr> "James"
#> $ last <chr> "Smith"
#> $ specialty <chr> "Nurse Practitioner"
#> $ order_refer <lgl> TRUE
#> $ optout_start_date <date> 2019-07-01
#> $ optout_end_date <date> 2025-07-01
#> $ last_updated <date> 2023-09-15
#> $ address <chr> "8585 E HARTFORD DR STE 111"
#> $ city <chr> "SCOTTSDALE"
#> $ state <ord> AZ
#> $ zip <chr> "85255"
order_refer(npi = 1043522824, tidy = FALSE) |>
glimpse()#> Rows: 1
#> Columns: 8
#> $ NPI <chr> "1043522824"
#> $ LAST_NAME <chr> "SMITH"
#> $ FIRST_NAME <chr> "JAMES"
#> $ PARTB <chr> "Y"
#> $ DME <chr> "Y"
#> $ HHA <chr> "Y"
#> $ PMD <chr> "Y"
#> $ HOSPICE <chr> "N"
outpatient(year = 2021,
state = "GA",
city = "Valdosta",
apc = "5072") |>
glimpse()#> Rows: 1
#> Columns: 18
#> $ year <int> 2021
#> $ ccn <chr> "110122"
#> $ organization <chr> "South Georgia Medical Center"
#> $ address <chr> "2501 North Patterson Street, Po Box 1727"
#> $ city <chr> "Valdosta"
#> $ state <ord> GA
#> $ fips <chr> "13"
#> $ zip <chr> "31602"
#> $ ruca <chr> "1"
#> $ apc <chr> "5072"
#> $ apc_desc <chr> "Level 2 Excision/ Biopsy/ Incision and Drainage"
#> $ tot_benes <int> 210
#> $ comp_apc_srvcs <int> 222
#> $ avg_charges <dbl> 6454.778
#> $ avg_allowed <dbl> 1233.753
#> $ avg_payment <dbl> 981.9733
#> $ tot_outlier_srvcs <int> 0
#> $ avg_outlier_payment <dbl> 0
prescribers(year = 2019,
type = 'Provider',
npi = 1003000126) |>
glimpse()#> Rows: 1
#> Columns: 27
#> $ year <int> 2019
#> $ npi <chr> "1003000126"
#> $ entity_type <fct> Individual
#> $ first <chr> "Ardalan"
#> $ last <chr> "Enkeshafi"
#> $ gender <fct> Male
#> $ credential <chr> "MD"
#> $ specialty <chr> "Internal Medicine"
#> $ source <chr> "Claim-Specialty"
#> $ address <chr> "900 Seton Dr"
#> $ city <chr> "Cumberland"
#> $ state <ord> MD
#> $ zip <chr> "21502"
#> $ fips <chr> "24"
#> $ ruca <chr> "1"
#> $ country <chr> "US"
#> $ tot_claims <int> 589
#> $ tot_fills <dbl> 681.7333
#> $ tot_cost <dbl> 28902.12
#> $ tot_supply <int> 15955
#> $ tot_benes <int> 214
#> $ rx_rate_opioid <dbl> 5.093379
#> $ bene_race_blk <int> 73
#> $ hcc_risk_avg <dbl> 2.708114
#> $ detailed <list> [<tbl_df[1 x 32]>]
#> $ demographics <list> [<tbl_df[1 x 14]>]
#> $ gte_65 <list> [<tbl_df[1 x 8]>]
prescribers(year = 2019,
npi = 1003000126,
type = 'Drug',
brand_name = 'Atorvastatin Calcium') |>
glimpse()#> Rows: 1
#> Columns: 18
#> $ year <int> 2019
#> $ npi <chr> "1003000126"
#> $ last <chr> "Enkeshafi"
#> $ first <chr> "Ardalan"
#> $ city <chr> "Cumberland"
#> $ state <ord> MD
#> $ fips <chr> "24"
#> $ specialty <chr> "Internal Medicine"
#> $ source <chr> "Claim-Specialty"
#> $ brand_name <chr> "Atorvastatin Calcium"
#> $ generic_name <chr> "Atorvastatin Calcium"
#> $ tot_claims <int> 41
#> $ tot_fills <dbl> 50
#> $ tot_supply <int> 1482
#> $ tot_cost <dbl> 373.6
#> $ tot_benes <int> 22
#> $ level <ord> Provider
#> $ gte_65 <list> [<tbl_df[1 x 7]>]
prescribers(year = 2021,
type = 'Geography',
level = 'National',
brand_name = 'Clotrimazole-Betamethasone') |>
glimpse()#> Rows: 1
#> Columns: 20
#> $ year <int> 2021
#> $ level <ord> National
#> $ state <ord> National
#> $ brand_name <chr> "Clotrimazole-Betamethasone"
#> $ generic_name <chr> "Clotrimazole/Betamethasone Dip"
#> $ tot_prescribers <int> 203283
#> $ tot_claims <int> 1611886
#> $ tot_fills <dbl> 1694182
#> $ tot_cost <dbl> 43735273
#> $ tot_benes <int> 887643
#> $ tot_claims_ge65 <int> 1363536
#> $ tot_fills_ge65 <dbl> 1435849
#> $ tot_cost_ge65 <dbl> 36509742
#> $ tot_benes_ge65 <int> 763073
#> $ tot_cost_lis <dbl> 877005.8
#> $ tot_cost_nlis <dbl> 11891222
#> $ opioid <lgl> FALSE
#> $ opioid_la <lgl> FALSE
#> $ antibiotic <lgl> FALSE
#> $ antipsychotic <lgl> FALSE
providers(npi = 1720098791,
enid = "O20040610001257") |>
glimpse()#> Rows: 1
#> Columns: 7
#> $ npi <chr> "1720098791"
#> $ pac <chr> "7618950643"
#> $ enid <chr> "O20040610001257"
#> $ specialty_code <chr> "12-70"
#> $ specialty_description <chr> "PART B SUPPLIER - CLINIC/GROUP PRACTICE"
#> $ state <ord> GA
#> $ organization <chr> "IRWIN COUNTY HOSPITAL"
quality_payment(year = 2021,
npi = 1932365699) |>
glimpse()#> Rows: 1
#> Columns: 47
#> $ year <int> 2021
#> $ npi <chr> "1932365699"
#> $ npi_type <fct> Individual
#> $ first <chr> "STEFAN"
#> $ middle <chr> "MICHAEL"
#> $ last <chr> "SMITH"
#> $ state <ord> CO
#> $ first_approved_date <date> 2008-11-15
#> $ years_in_medicare <dbl> 13
#> $ participation_type <fct> Group
#> $ beneficiaries <int> 555
#> $ services <int> 1157
#> $ charges <dbl> 112449
#> $ final_score <dbl> 60
#> $ pay_adjust <dbl> 0
#> $ quality_score <dbl> 45
#> $ pi_score <dbl> 0
#> $ ia_score <dbl> 0
#> $ cost_score <dbl> 0
#> $ complex_bonus <dbl> 2.54
#> $ qi_bonus <dbl> 0
#> $ newly_enrolled <lgl> FALSE
#> $ is_maqi <lgl> FALSE
#> $ org_id <int> 1
#> $ org_size <int> 3
#> $ org_name <chr> "LEE ANN HOVEN OD PC"
#> $ org_address <chr> "ADVANCED EYE CARE 1165S CAMINO DEL RIO SUITE 100"
#> $ org_city <chr> "DURANGO"
#> $ org_state <ord> CO
#> $ org_zip <chr> "81303"
#> $ org_hosp_vbp_name <chr> NA
#> $ org_facility_based <lgl> FALSE
#> $ ind_lvt_status_code <chr> "BOTH"
#> $ ind_lvt_status_desc <chr> "Both the unique beneficiaries and Part B"
#> $ ind_hosp_vbp_score <int> 0
#> $ specialty <chr> "Optometry"
#> $ specialty_desc <chr> "Optometry"
#> $ specialty_type <chr> "Doctor of Optometry"
#> $ specialty_cat <chr> "Physicians"
#> $ ind_specialty_code <chr> "41"
#> $ ind_specialty_desc <chr> "Optometry"
#> $ ind_specialty_type <chr> "Doctor of Optometry"
#> $ ind_specialty_cat <chr> "Physicians"
#> $ qpp_status <list> [<tbl_df[9 x 1]>]
#> $ qpp_measures <list> [<tbl_df[6 x 3]>]
#> $ ind_status <list> [<tbl_df[8 x 1]>]
#> $ grp_status <list> [<tbl_df[10 x 1]>]
q <- quality_payment(year = 2021,
npi = 1932365699)
q |>
select(
year,
qpp_status
) |>
unnest(qpp_status)#> # A tibble: 9 × 2
#> year qualified
#> <int> <fct>
#> 1 2021 Engaged
#> 2 2021 Small Practitioner
#> 3 2021 Rural Clinician
#> 4 2021 HPSA Clinician
#> 5 2021 Extreme Hardship
#> 6 2021 Extreme Hardship (Quality)
#> 7 2021 Extreme Hardship (PI)
#> 8 2021 Extreme Hardship (IA)
#> 9 2021 Extreme Hardship (Cost)
q |>
select(
year,
qpp_measures
) |>
unnest(qpp_measures)#> # A tibble: 6 × 4
#> year category measure_id score
#> <int> <fct> <chr> <dbl>
#> 1 2021 Quality 141 3
#> 2 2021 Quality 014 3
#> 3 2021 Quality 110 3
#> 4 2021 Quality 47 3
#> 5 2021 Quality 1 0
#> 6 2021 Quality 117 0
quality_eligibility(year = 2021,
npi = 1932365699) |>
glimpse()#> Rows: 1
#> Columns: 30
#> $ year <int> 2021
#> $ npi <chr> "1932365699"
#> $ npi_type <fct> Individual
#> $ first <chr> "STEFAN"
#> $ middle <chr> "MICHAEL"
#> $ last <chr> "SMITH"
#> $ first_approved_date <date> 2008-11-15
#> $ years_in_medicare <dbl> 13
#> $ newly_enrolled <lgl> FALSE
#> $ specialty_desc <chr> "Optometry"
#> $ specialty_type <chr> "Doctor of Optometry"
#> $ specialty_cat <chr> "Physicians"
#> $ is_maqi <lgl> FALSE
#> $ org_id <int> 1
#> $ org_name <chr> "LEE ANN HOVEN OD PC"
#> $ org_hosp_vbp_name <chr> NA
#> $ org_facility_based <lgl> FALSE
#> $ org_address <chr> "ADVANCED EYE CARE 1165S CAMINO DEL RIO SUITE 100"
#> $ org_city <chr> "DURANGO"
#> $ org_state <ord> CO
#> $ org_zip <chr> "81303"
#> $ ind_lvt_status_code <chr> "BOTH"
#> $ ind_lvt_status_desc <chr> "Both the unique beneficiaries and Part B"
#> $ ind_hosp_vbp_score <int> 0
#> $ ind_specialty_code <chr> "41"
#> $ ind_specialty_desc <chr> "Optometry"
#> $ ind_specialty_type <chr> "Doctor of Optometry"
#> $ ind_specialty_cat <chr> "Physicians"
#> $ ind_status <list> [<tbl_df[8 x 1]>]
#> $ grp_status <list> [<tbl_df[10 x 1]>]
reassignments(npi = 1932365699,
pac_org = 7719037548) |>
glimpse()#> Rows: 1
#> Columns: 12
#> $ npi <chr> "1932365699"
#> $ pac <chr> "42370496"
#> $ enid <chr> "I20171107000894"
#> $ first <chr> "STEFAN"
#> $ last <chr> "SMITH"
#> $ associations <int> 2
#> $ organization <chr> "EYE CENTER OF THE ROCKIES PC"
#> $ pac_org <chr> "7719037548"
#> $ enid_org <chr> "O20090616000599"
#> $ state_org <ord> CO
#> $ reassignments <int> 5
#> $ entry <fct> Reassignment
utilization(year = 2021,
npi = 1932365699,
type = "Provider") |>
glimpse()#> Rows: 1
#> Columns: 20
#> $ year <int> 2021
#> $ npi <chr> "1932365699"
#> $ entity_type <fct> Individual
#> $ first <chr> "Stefan"
#> $ middle <chr> "M"
#> $ last <chr> "Smith"
#> $ gender <fct> Male
#> $ credential <chr> "OD"
#> $ specialty <chr> "Optometry"
#> $ address <chr> "724 St. Louis Road"
#> $ city <chr> "Collinsville"
#> $ state <ord> IL
#> $ zip <chr> "62234"
#> $ fips <chr> "17"
#> $ ruca <chr> "1"
#> $ country <chr> "US"
#> $ par <lgl> TRUE
#> $ performance <list> [<tbl_df[1 x 11]>]
#> $ demographics <list> [<tbl_df[1 x 12]>]
#> $ conditions <list> [<tbl_df[1 x 1]>]
p <- utilization(year = 2021,
npi = 1932365699,
type = "Provider")
select(p, year, performance) |>
unnest(performance) |>
glimpse()#> Rows: 1
#> Columns: 12
#> $ year <int> 2021
#> $ tot_hcpcs <int> 19
#> $ tot_benes <int> 279
#> $ tot_srvcs <int> 475
#> $ tot_charges <dbl> 57098.8
#> $ tot_allowed <dbl> 48345.19
#> $ tot_payment <dbl> 31966.13
#> $ tot_std_pymt <dbl> 31316.51
#> $ .copay_deduct <dbl> 16379.06
#> $ .srvcs_per_bene <dbl> 1.702509
#> $ .pymt_per_bene <dbl> 114.5739
#> $ .pymt_per_srvc <dbl> 67.29712
select(p, year, demographics) |>
unnest(demographics) |>
glimpse()#> Rows: 1
#> Columns: 13
#> $ year <int> 2021
#> $ bene_age_avg <int> 72
#> $ bene_age_lt65 <int> 16
#> $ bene_age_65_74 <int> 181
#> $ bene_age_75_84 <int> 63
#> $ bene_age_gt84 <int> 19
#> $ bene_gen_female <int> 157
#> $ bene_gen_male <int> 122
#> $ bene_race_wht <int> 245
#> $ bene_race_nonwht <int> 34
#> $ bene_dual <int> 40
#> $ bene_ndual <int> 239
#> $ bene_race_detailed <list> [<tbl_df[1 x 5]>]
select(p, year, conditions) |>
unnest(conditions) |>
glimpse()#> Rows: 1
#> Columns: 2
#> $ year <int> 2021
#> $ hcc_risk_avg <dbl> 0.7719
utilization(year = 2021,
npi = 1932365699,
hcpcs = "99214",
type = "Service") |>
glimpse()#> Rows: 1
#> Columns: 32
#> $ year <int> 2021
#> $ npi <chr> "1932365699"
#> $ level <ord> Provider
#> $ first <chr> "Stefan"
#> $ middle <chr> "M"
#> $ last <chr> "Smith"
#> $ gender <fct> Male
#> $ credential <chr> "O.D."
#> $ specialty <chr> "Optometry"
#> $ address <chr> "724 St. Louis Road"
#> $ city <chr> "Collinsville"
#> $ state <ord> IL
#> $ zip <chr> "62234"
#> $ fips <chr> "17"
#> $ ruca <chr> "1"
#> $ country <chr> "US"
#> $ par <lgl> TRUE
#> $ hcpcs <chr> "99214"
#> $ hcpcs_desc <chr> "Established patient outpatient visit, total time 30-39 m…
#> $ category <chr> "E&M"
#> $ subcategory <chr> "Office/Outpatient Services"
#> $ family <chr> "Office E&M - Established"
#> $ procedure <fct> Non-procedure
#> $ drug <lgl> FALSE
#> $ pos <fct> Non-facility
#> $ tot_benes <int> 24
#> $ tot_srvcs <int> 27
#> $ tot_day <int> 27
#> $ avg_charge <dbl> 134.7407
#> $ avg_allowed <dbl> 132.7281
#> $ avg_payment <dbl> 102.7159
#> $ avg_std_pymt <dbl> 99.46074
utilization(year = 2021,
hcpcs = "99205",
level = "National",
pos = "F",
type = "Geography") |>
glimpse()#> Rows: 1
#> Columns: 19
#> $ year <int> 2021
#> $ level <ord> National
#> $ state <ord> National
#> $ hcpcs <chr> "99205"
#> $ hcpcs_desc <chr> "New patient outpatient visit, total time 60-74 minutes"
#> $ category <chr> "E&M"
#> $ subcategory <chr> "Office/Outpatient Services"
#> $ family <chr> "Office E&M - New"
#> $ procedure <fct> Non-procedure
#> $ drug <lgl> FALSE
#> $ pos <fct> Facility
#> $ tot_provs <int> 65502
#> $ tot_benes <int> 574426
#> $ tot_srvcs <int> 653339
#> $ tot_day <int> 653311
#> $ avg_charge <dbl> 493.5003
#> $ avg_allowed <dbl> 186.2096
#> $ avg_payment <dbl> 143.4408
#> $ avg_std_pymt <dbl> 139.6115
Please note that the provider project is released with a Contributor
Code of
Conduct.
By contributing to this project, you agree to abide by its terms.
This project is primarily maintained by Andrew Bruce. Other authors may occasionally assist with some of these duties.