Skip to content

Commit 3c10b4e

Browse files
andrewallenbruceandrewallenbruce
committed
rebuild readme
1 parent 1b93a4a commit 3c10b4e

File tree

1 file changed

+123
-105
lines changed

1 file changed

+123
-105
lines changed

‎README.md

Lines changed: 123 additions & 105 deletions
Original file line numberDiff line numberDiff line change
@@ -31,16 +31,19 @@ coverage](https://codecov.io/gh/andrewallenbruce/forager/branch/master/graph/bad
3131

3232
<!-- badges: end -->
3333

34-
## Installation
34+
<br>
35+
36+
## :package: Installation
3537

36-
You can install the development version of `forager` from
37-
[GitHub](https://github.com/) with:
38+
You can install `forager` from [GitHub](https://github.com/) with:
3839

3940
``` r
4041
# install.packages("pak")
4142
pak::pak("andrewallenbruce/forager")
4243
```
4344

45+
## :beginner: Usage
46+
4447
``` r
4548
library(tidyverse)
4649
library(clock)
@@ -53,66 +56,69 @@ library(fuimus)
5356

5457
``` r
5558
(x <- mock_claims(15000))
56-
#> # A tibble: 15,000 × 10
57-
#> claimid payer charges balance date_ser…¹ date_rel…² date_sub…³ date_acc…⁴
58-
#> <chr> <fct> <dbl> <dbl> <date> <date> <date> <date>
59-
#> 1 00008 Oscar 115. 115. 2024-05-26 2024-06-04 2024-06-08 2024-06-14
60-
#> 2 00343 American 284. 0 2024-05-26 2024-06-17 2024-06-19 2024-06-23
61-
#> 3 00389 Wellcare 325. 325. 2024-05-26 2024-06-11 2024-06-19 2024-06-28
62-
#> 4 00473 Medicaid 35. 35. 2024-05-26 2024-06-05 2024-06-08 2024-06-20
63-
#> 5 00604 Humana 50. 50. 2024-05-26 2024-06-03 2024-06-10 2024-06-18
64-
#> 6 01138 Omaha 107. 0 2024-05-26 2024-06-07 2024-06-08 2024-06-15
65-
#> 7 01161 CVS Aetna 27. 27. 2024-05-26 2024-06-01 2024-06-03 2024-06-08
66-
#> 8 01216 Lincoln … 73. 73. 2024-05-26 2024-05-26 2024-05-27 2024-06-07
67-
#> 9 01262 Centene 97. 0 2024-05-26 2024-05-27 2024-05-29 2024-05-31
68-
#> 10 01284 Medicaid 43. 43. 2024-05-26 2024-06-05 2024-06-10 2024-06-21
69-
#> # ℹ 14,990 more rows
70-
#> # ℹ abbreviated names: ¹​date_service, ²​date_release, ³​date_submission,
71-
#> # ⁴​date_acceptance
72-
#> # ℹ 2 more variables: date_adjudication <date>, date_reconciliation <date>
7359
```
7460

61+
#> # A tibble: 15,000 × 10
62+
#> claimid payer charges balance date_ser…¹ date_rel…² date_sub…³ date_acc…⁴
63+
#> <chr> <fct> <dbl> <dbl> <date> <date> <date> <date>
64+
#> 1 00135 American 90. 90. 2024-07-06 2024-07-21 2024-07-26 2024-08-11
65+
#> 2 00159 New York… 87. 0 2024-07-06 2024-07-16 2024-07-18 2024-08-03
66+
#> 3 00180 Medicare 187. 187. 2024-07-06 2024-07-20 2024-07-25 2024-08-06
67+
#> 4 00195 BCBS WY 174. 174. 2024-07-06 2024-07-22 2024-07-25 2024-08-03
68+
#> 5 00199 Athene 32. 32. 2024-07-06 2024-07-13 2024-07-17 2024-07-25
69+
#> 6 00251 BCBS WY 260. 260. 2024-07-06 2024-07-10 2024-07-13 2024-07-23
70+
#> 7 00369 HCSC 104. 104. 2024-07-06 2024-07-16 2024-07-20 2024-07-28
71+
#> 8 00373 Athene 144. 144. 2024-07-06 2024-07-19 2024-07-20 2024-07-24
72+
#> 9 00481 Humana 119. 0 2024-07-06 2024-07-08 2024-07-09 2024-07-14
73+
#> 10 00522 Molina 102. 102. 2024-07-06 2024-07-19 2024-07-20 2024-07-30
74+
#> # ℹ 14,990 more rows
75+
#> # ℹ abbreviated names: ¹​date_service, ²​date_release, ³​date_submission,
76+
#> # ⁴​date_acceptance
77+
#> # ℹ 2 more variables: date_adjudication <date>, date_reconciliation <date>
78+
7579
<br>
7680

7781
``` r
7882
(x <- prep_claims(x))
79-
#> # A tibble: 15,000 × 13
80-
#> claimid payer charges balance date_service aging_bin dar days_rel…¹
81-
#> <chr> <fct> <dbl> <dbl> <date> <fct> <dbl> <dbl>
82-
#> 1 00001 Oscar 166. 166. 2024-05-17 0-30 11 0
83-
#> 2 00002 Medicare 23. 23. 2024-04-03 0-30 20 2
84-
#> 3 00003 UnitedHealth 212. 212. 2024-03-27 0-30 18 2
85-
#> 4 00004 GuideWell 84. 84. 2024-05-13 31-60 34 6
86-
#> 5 00005 Lincoln Nat'l 194. 194. 2024-04-03 0-30 29 5
87-
#> 6 00006 HCSC 98. 0 2024-04-04 31-60 34 8
88-
#> 7 00007 Mass Mutual 37. 37. 2024-05-13 31-60 37 7
89-
#> 8 00008 Oscar 115. 115. 2024-05-26 31-60 37 9
90-
#> 9 00009 BCBS MI 190. 190. 2024-04-06 31-60 42 10
91-
#> 10 00010 CVS Aetna 57. 57. 2024-04-10 31-60 40 5
92-
#> # ℹ 14,990 more rows
93-
#> # ℹ abbreviated name: ¹​days_release
94-
#> # ℹ 5 more variables: days_submission <dbl>, days_acceptance <dbl>,
95-
#> # days_adjudication <dbl>, days_reconciliation <dbl>, dates <list>
9683
```
9784

85+
#> # A tibble: 15,000 × 13
86+
#> claimid payer charges balance date_service aging_bin dar days_rel…¹
87+
#> <chr> <fct> <dbl> <dbl> <date> <fct> <dbl> <dbl>
88+
#> 1 00001 Humana 87. 87. 2024-06-11 0-30 16 1
89+
#> 2 00002 Cigna 216. 0 2024-05-12 0-30 29 1
90+
#> 3 00003 Equitable 140. 140. 2024-06-07 0-30 24 3
91+
#> 4 00004 Highmark 185. 185. 2024-05-21 0-30 27 3
92+
#> 5 00005 HCSC 72. 72. 2024-04-27 0-30 29 6
93+
#> 6 00006 BCBS WY 124. 124. 2024-05-03 31-60 31 7
94+
#> 7 00007 Athene 230. 230. 2024-04-12 0-30 30 8
95+
#> 8 00008 New York Life 43. 43. 2024-06-09 31-60 50 12
96+
#> 9 00009 New York Life 256. 256. 2024-04-20 31-60 34 17
97+
#> 10 00010 Lincoln Nat'l 236. 236. 2024-05-05 31-60 49 12
98+
#> # ℹ 14,990 more rows
99+
#> # ℹ abbreviated name: ¹​days_release
100+
#> # ℹ 5 more variables: days_submission <dbl>, days_acceptance <dbl>,
101+
#> # days_adjudication <dbl>, days_reconciliation <dbl>, dates <list>
102+
98103
<br>
99104

100105
``` r
101106
summarise_claims(x) |>
102107
glimpse()
103-
#> Rows: 1
104-
#> Columns: 9
105-
#> $ n_claims <int> 15000
106-
#> $ gross_charges <dbl> 1998810
107-
#> $ ending_ar <dbl> 1315266
108-
#> $ mean_release <dbl> 8.0004
109-
#> $ mean_submission <dbl> 3.01
110-
#> $ mean_acceptance <dbl> 7.518067
111-
#> $ mean_adjudication <dbl> 14.9988
112-
#> $ mean_reconciliation <dbl> 2.23959
113-
#> $ mean_dar <dbl> 34.2838
114108
```
115109

110+
#> Rows: 1
111+
#> Columns: 9
112+
#> $ n_claims <int> 15000
113+
#> $ gross_charges <dbl> 1986374
114+
#> $ ending_ar <dbl> 1323904
115+
#> $ mean_release <dbl> 8.010267
116+
#> $ mean_submission <dbl> 3.013267
117+
#> $ mean_acceptance <dbl> 7.467933
118+
#> $ mean_adjudication <dbl> 15.0508
119+
#> $ mean_reconciliation <dbl> 2.227745
120+
#> $ mean_dar <dbl> 34.28633
121+
116122
``` r
117123
x |>
118124
group_by(
@@ -123,22 +129,23 @@ x |>
123129
summarise_claims() |>
124130
arrange(payer) |>
125131
select(year, month, payer, n_claims, ending_ar, mean_dar)
126-
#> # A tibble: 81 × 6
127-
#> year month payer n_claims ending_ar mean_dar
128-
#> <int> <int> <fct> <int> <dbl> <dbl>
129-
#> 1 2024 3 Oscar 195 18188. 34.
130-
#> 2 2024 4 Oscar 181 15630. 34.
131-
#> 3 2024 5 Oscar 148 14025. 34.
132-
#> 4 2024 3 Medicare 186 16966. 34.
133-
#> 5 2024 4 Medicare 208 17676. 34.
134-
#> 6 2024 5 Medicare 157 13925. 36.
135-
#> 7 2024 3 UnitedHealth 179 15377. 33.
136-
#> 8 2024 4 UnitedHealth 182 17476. 34.
137-
#> 9 2024 5 UnitedHealth 156 14550. 34.
138-
#> 10 2024 3 GuideWell 202 19187. 34.
139-
#> # ℹ 71 more rows
140132
```
141133

134+
#> # A tibble: 108 × 6
135+
#> year month payer n_claims ending_ar mean_dar
136+
#> <int> <int> <fct> <int> <dbl> <dbl>
137+
#> 1 2024 4 Humana 131 11829. 35.
138+
#> 2 2024 5 Humana 197 16190. 34.
139+
#> 3 2024 6 Humana 209 18879. 34.
140+
#> 4 2024 7 Humana 39 2893. 33.
141+
#> 5 2024 4 Cigna 106 10455. 34.
142+
#> 6 2024 5 Cigna 208 17423. 34.
143+
#> 7 2024 6 Cigna 190 17407. 33.
144+
#> 8 2024 7 Cigna 44 3708. 36.
145+
#> 9 2024 4 Equitable 125 11415. 35.
146+
#> 10 2024 5 Equitable 202 13414. 35.
147+
#> # ℹ 98 more rows
148+
142149
<br>
143150

144151
``` r
@@ -151,22 +158,23 @@ x |>
151158
summarise_claims() |>
152159
arrange(payer) |>
153160
select(year, qtr, payer, n_claims, ending_ar, mean_dar)
154-
#> # A tibble: 54 × 6
155-
#> year qtr payer n_claims ending_ar mean_dar
156-
#> <int> <int> <fct> <int> <dbl> <dbl>
157-
#> 1 2024 1 Oscar 195 18188. 34.
158-
#> 2 2024 2 Oscar 329 29655. 34.
159-
#> 3 2024 1 Medicare 186 16966. 34.
160-
#> 4 2024 2 Medicare 365 31601. 35.
161-
#> 5 2024 1 UnitedHealth 179 15377. 33.
162-
#> 6 2024 2 UnitedHealth 338 32026. 34.
163-
#> 7 2024 1 GuideWell 202 19187. 34.
164-
#> 8 2024 2 GuideWell 356 31347. 35.
165-
#> 9 2024 1 Lincoln Nat'l 199 17432. 34.
166-
#> 10 2024 2 Lincoln Nat'l 392 36733. 34.
167-
#> # ℹ 44 more rows
168161
```
169162

163+
#> # A tibble: 54 × 6
164+
#> year qtr payer n_claims ending_ar mean_dar
165+
#> <int> <int> <fct> <int> <dbl> <dbl>
166+
#> 1 2024 2 Humana 537 46899. 34.
167+
#> 2 2024 3 Humana 39 2893. 33.
168+
#> 3 2024 2 Cigna 504 45285. 34.
169+
#> 4 2024 3 Cigna 44 3708. 36.
170+
#> 5 2024 2 Equitable 519 41301. 35.
171+
#> 6 2024 3 Equitable 40 2298. 35
172+
#> 7 2024 2 Highmark 489 41779. 35.
173+
#> 8 2024 3 Highmark 29 2757. 34.
174+
#> 9 2024 2 HCSC 547 52913. 34.
175+
#> 10 2024 3 HCSC 41 3544. 34.
176+
#> # ℹ 44 more rows
177+
170178
## Days in AR Calculation
171179

172180
> Monthly
@@ -183,26 +191,27 @@ tibble(
183191
earb,
184192
dart = 35,
185193
by = "month")
186-
#> # A tibble: 12 × 15
187-
#> date gct earb ndip adc dart dar dar_pass ratio_id…¹ ratio_ac…²
188-
#> <date> <int> <int> <int> <dbl> <dbl> <dbl> <lgl> <dbl> <dbl>
189-
#> 1 2024-01-01 2.5e5 2.9e5 31 8080. 35 36. FALSE 1.1 1.2
190-
#> 2 2024-02-01 2.5e5 2.9e5 29 8624. 35 34. TRUE 1.2 1.2
191-
#> 3 2024-03-01 2.5e5 2.9e5 31 8062. 35 36. FALSE 1.1 1.2
192-
#> 4 2024-04-01 2.5e5 2.9e5 30 8320. 35 35. TRUE 1.2 1.2
193-
#> 5 2024-05-01 2.5e5 2.9e5 31 8026. 35 36. FALSE 1.1 1.2
194-
#> 6 2024-06-01 2.5e5 2.9e5 30 8310. 35 35. TRUE 1.2 1.2
195-
#> 7 2024-07-01 2.5e5 2.9e5 31 8053. 35 36. FALSE 1.1 1.2
196-
#> 8 2024-08-01 2.5e5 2.9e5 31 8041. 35 36. FALSE 1.1 1.2
197-
#> 9 2024-09-01 2.5e5 2.9e5 30 8324. 35 35. TRUE 1.2 1.2
198-
#> 10 2024-10-01 2.5e5 2.9e5 31 8084. 35 36. FALSE 1.1 1.2
199-
#> 11 2024-11-01 2.5e5 2.9e5 30 8353. 35 35. TRUE 1.2 1.2
200-
#> 12 2024-12-01 2.5e5 2.9e5 31 8040. 35 36. FALSE 1.1 1.2
201-
#> # ℹ abbreviated names: ¹​ratio_ideal, ²​ratio_actual
202-
#> # ℹ 5 more variables: ratio_diff <dbl>, earb_target <dbl>, earb_diff <dbl>,
203-
#> # gct_pct <dbl>, earb_pct <dbl>
204194
```
205195

196+
#> # A tibble: 12 × 15
197+
#> date gct earb ndip adc dart dar dar_pass ratio_id…¹ ratio_ac…²
198+
#> <date> <int> <int> <int> <dbl> <dbl> <dbl> <lgl> <dbl> <dbl>
199+
#> 1 2024-01-01 2.5e5 2.9e5 31 8021. 35 36. FALSE 1.1 1.2
200+
#> 2 2024-02-01 2.5e5 2.9e5 29 8604. 35 34. TRUE 1.2 1.2
201+
#> 3 2024-03-01 2.5e5 2.9e5 31 8066. 35 36. FALSE 1.1 1.2
202+
#> 4 2024-04-01 2.5e5 2.9e5 30 8339. 35 35. TRUE 1.2 1.2
203+
#> 5 2024-05-01 2.5e5 2.9e5 31 8047. 35 36. FALSE 1.1 1.2
204+
#> 6 2024-06-01 2.5e5 2.9e5 30 8329. 35 35. TRUE 1.2 1.2
205+
#> 7 2024-07-01 2.5e5 2.9e5 31 8099. 35 36. FALSE 1.1 1.2
206+
#> 8 2024-08-01 2.5e5 2.9e5 31 8061. 35 36. FALSE 1.1 1.2
207+
#> 9 2024-09-01 2.5e5 2.9e5 30 8302. 35 35. TRUE 1.2 1.2
208+
#> 10 2024-10-01 2.5e5 2.9e5 31 8049. 35 36. FALSE 1.1 1.2
209+
#> 11 2024-11-01 2.5e5 2.9e5 30 8313. 35 35. TRUE 1.2 1.2
210+
#> 12 2024-12-01 2.5e5 2.9e5 31 8054. 35 36. FALSE 1.1 1.2
211+
#> # ℹ abbreviated names: ¹​ratio_ideal, ²​ratio_actual
212+
#> # ℹ 5 more variables: ratio_diff <dbl>, earb_target <dbl>, earb_diff <dbl>,
213+
#> # gct_pct <dbl>, earb_pct <dbl>
214+
206215
<br>
207216

208217
> Quarterly
@@ -219,25 +228,34 @@ tibble(
219228
earb,
220229
dart = 35,
221230
by = "quarter")
222-
#> # A tibble: 4 × 15
223-
#> date earb gct ndip adc dart dar dar_pass ratio_id…¹ ratio_ac…²
224-
#> <date> <int> <int> <int> <dbl> <dbl> <dbl> <lgl> <dbl> <dbl>
225-
#> 1 2024-03-01 285562 7.5e5 91 8249. 35 35. TRUE 0.38 0.38
226-
#> 2 2024-06-01 285591 7.5e5 91 8253. 35 35. TRUE 0.38 0.38
227-
#> 3 2024-09-01 285469 7.5e5 92 8149. 35 35. FALSE 0.38 0.38
228-
#> 4 2024-12-01 285639 7.5e5 92 8131. 35 35. FALSE 0.38 0.38
229-
#> # ℹ abbreviated names: ¹​ratio_ideal, ²​ratio_actual
230-
#> # ℹ 5 more variables: ratio_diff <dbl>, earb_target <dbl>, earb_diff <dbl>,
231-
#> # gct_pct <dbl>, earb_pct <dbl>
232231
```
233232

234-
## Code of Conduct
233+
#> # A tibble: 4 × 15
234+
#> date earb gct ndip adc dart dar dar_pass ratio_id…¹ ratio_ac…²
235+
#> <date> <int> <int> <int> <dbl> <dbl> <dbl> <lgl> <dbl> <dbl>
236+
#> 1 2024-03-01 284676 7.5e5 91 8245. 35 35. TRUE 0.38 0.38
237+
#> 2 2024-06-01 285645 7.5e5 91 8262. 35 35. TRUE 0.38 0.38
238+
#> 3 2024-09-01 285768 7.5e5 92 8162. 35 35. FALSE 0.38 0.38
239+
#> 4 2024-12-01 285689 7.5e5 92 8133. 35 35. FALSE 0.38 0.38
240+
#> # ℹ abbreviated names: ¹​ratio_ideal, ²​ratio_actual
241+
#> # ℹ 5 more variables: ratio_diff <dbl>, earb_target <dbl>, earb_diff <dbl>,
242+
#> # gct_pct <dbl>, earb_pct <dbl>
243+
244+
------------------------------------------------------------------------
245+
246+
## :balance_scale: Code of Conduct
235247

236248
Please note that the `forager` project is released with a [Contributor
237249
Code of
238250
Conduct](https://andrewallenbruce.github.io/forager/CODE_OF_CONDUCT.html).
239251
By contributing to this project, you agree to abide by its terms.
240252

253+
## :classical_building: Governance
254+
255+
This project is primarily maintained by [Andrew
256+
Bruce](https://github.com/andrewallenbruce). Other authors may
257+
occasionally assist with some of these duties.
258+
241259
[^1]: <https://dictionary.cambridge.org/dictionary/english/forager>
242260

243261
[^2]: Me.

0 commit comments

Comments
 (0)