Takes in a data.frame/tibble and creates a named list from a supplied grouping
variable. Can be used in conjunction with save_to_excel() to create a new
sheet for each group of data.
See also
Other Data Table Functions:
category_counts_tbl(),
los_ra_index_summary_tbl(),
top_n_tbl(),
ts_census_los_daily_tbl(),
ts_signature_tbl()
Examples
library(healthyR.data)
df <- healthyR_data
df_list <- named_item_list(.data = df, .group_col = service_line)
df_list
#> <list_of<
#> tbl_df<
#> mrn : character
#> visit_id : character
#> visit_start_date_time : datetime<UTC>
#> visit_end_date_time : datetime<UTC>
#> total_charge_amount : double
#> total_amount_due : double
#> total_adjustment_amount : double
#> payer_grouping : character
#> total_payment_amount : double
#> ip_op_flag : character
#> service_line : character
#> length_of_stay : double
#> expected_length_of_stay : logical
#> length_of_stay_threshold: logical
#> los_outlier_flag : double
#> readmit_flag : double
#> readmit_expectation : logical
#> >
#> >[29]>
#> $`Alcohol Abuse`
#> # A tibble: 1,904 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 66681… 1027422… 2011-09-18 18:45:00 2011-09-21 15:24:00 20650.
#> 2 85712… 1715006… 2011-09-24 14:23:00 2011-09-27 22:54:00 19632.
#> 3 45086… 1463793… 2011-09-25 17:22:00 2011-09-30 18:48:00 27028.
#> 4 53136… 1087046… 2011-10-01 08:58:00 2011-10-03 11:10:00 12214.
#> 5 79908… 1933551… 2011-10-02 00:04:00 2011-10-06 13:51:00 30124.
#> 6 29323… 1651882… 2011-10-06 15:08:00 2011-10-07 16:00:00 8571.
#> 7 97809… 1375044… 2011-10-06 17:23:00 2011-10-08 14:19:00 13139.
#> 8 88765… 1040286… 2011-10-09 00:36:00 2011-10-09 15:29:00 37944.
#> 9 13303… 1814203… 2011-09-26 20:00:00 2011-10-10 11:59:00 110695.
#> 10 50646… 1177441… 2011-10-11 01:00:00 2011-10-13 10:16:00 18791.
#> # ℹ 1,894 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $`Bariatric Surgery For Obesity`
#> # A tibble: 309 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 33197… 1959572… 2012-12-03 13:35:00 2012-12-05 14:42:00 42533.
#> 2 85747… 1935901… 2012-12-03 07:30:00 2012-12-06 13:48:00 47450.
#> 3 89559… 1250962… 2012-12-03 08:39:00 2012-12-06 16:18:00 50382.
#> 4 31228… 1482137… 2013-01-16 06:32:00 2013-01-18 16:07:00 43665.
#> 5 15445… 1953192… 2013-01-16 09:18:00 2013-01-20 18:33:00 52763.
#> 6 22630… 1950977… 2013-02-19 10:28:00 2013-02-21 15:25:00 36038.
#> 7 37398… 1518672… 2013-02-26 06:53:00 2013-03-01 12:38:00 56381.
#> 8 14268… 1903948… 2013-04-09 06:45:00 2013-04-11 18:12:00 43263.
#> 9 78338… 1196711… 2013-04-23 07:16:00 2013-04-26 16:41:00 52300.
#> 10 80152… 1595499… 2013-05-21 06:15:00 2013-05-24 15:59:00 44746.
#> # ℹ 299 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $`Bariatric Surgery for Obesity Outpatient`
#> # A tibble: 19 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 77785… 3780939… 2011-05-23 05:00:00 2011-05-24 00:00:00 37167.
#> 2 68458… 3778860… 2011-07-18 05:00:00 2011-07-19 00:00:00 26037.
#> 3 47955… 3675064… 2011-07-18 05:00:00 2011-07-19 00:00:00 41552.
#> 4 92298… 3218733… 2011-08-15 05:00:00 2011-08-16 00:00:00 34332.
#> 5 29160… 3547868… 2011-08-30 05:00:00 2011-08-31 00:00:00 37992.
#> 6 45420… 3189581… 2011-09-12 05:00:00 2011-09-13 00:00:00 32744.
#> 7 59818… 3834855… 2011-09-19 05:00:00 2011-09-20 00:00:00 34354.
#> 8 57649… 3921176… 2011-10-17 05:00:00 2011-10-18 00:00:00 31338
#> 9 11995… 3411333… 2011-11-07 05:00:00 2011-11-08 00:00:00 34795
#> 10 62541… 3554137… 2011-11-08 05:00:00 2011-11-08 00:00:00 33251.
#> 11 83600… 3562481… 2011-11-15 05:00:00 2011-11-15 00:00:00 33955.
#> 12 10604… 3411030… 2011-11-28 05:00:00 2011-11-29 00:00:00 35638.
#> 13 84084… 3342120… 2012-03-12 05:00:00 2012-03-12 00:00:00 33758.
#> 14 37253… 3461965… 2012-04-23 05:00:00 2012-04-24 00:00:00 36768.
#> 15 85288… 3078841… 2012-06-12 05:00:00 2012-06-13 00:00:00 39139.
#> 16 73239… 3350427… 2012-07-09 05:00:00 2012-07-10 00:00:00 35642.
#> 17 52577… 3074630… 2012-08-20 05:00:00 2012-08-21 00:00:00 37140.
#> 18 62286… 3659346… 2012-08-27 05:00:00 2012-08-28 00:00:00 35030.
#> 19 39164… 3146567… 2012-12-18 05:00:00 2012-12-19 00:00:00 36899.
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $CHF
#> # A tibble: 3,871 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 51458… 1759626… 2011-09-19 09:17:00 2011-09-22 12:32:00 24021.
#> 2 66595… 1901836… 2011-09-19 07:06:00 2011-09-22 18:58:00 33724.
#> 3 21445… 1913857… 2011-09-22 00:21:00 2011-09-27 16:49:00 47369.
#> 4 33735… 1710022… 2011-09-15 12:48:00 2011-09-27 19:52:00 76611.
#> 5 67542… 1377329… 2011-09-17 13:49:00 2011-09-28 13:45:00 81523.
#> 6 69492… 1811099… 2011-09-24 20:33:00 2011-09-29 11:59:00 37112.
#> 7 93559… 1609237… 2011-09-22 04:23:00 2011-10-03 14:21:00 84470.
#> 8 14723… 1713302… 2011-09-15 11:50:00 2011-10-04 19:34:00 158923.
#> 9 49842… 1052618… 2011-09-29 10:40:00 2011-10-05 14:20:00 50061.
#> 10 98654… 1022864… 2011-10-01 01:47:00 2011-10-05 18:50:00 42312.
#> # ℹ 3,861 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $COPD
#> # A tibble: 4,398 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 53222… 1698106… 2011-09-23 00:18:00 2011-09-25 14:18:00 21843.
#> 2 54515… 1461588… 2011-09-18 17:22:00 2011-09-28 17:20:00 98014.
#> 3 91474… 1437392… 2011-09-19 09:01:00 2011-09-30 14:44:00 96463.
#> 4 38370… 1452507… 2011-09-25 18:44:00 2011-09-30 20:42:00 31050.
#> 5 30712… 1117831… 2011-09-26 19:26:00 2011-10-01 09:46:00 33841.
#> 6 11184… 1308449… 2011-09-30 17:41:00 2011-10-01 16:32:00 13971.
#> 7 88190… 1670417… 2011-09-27 22:58:00 2011-10-01 17:03:00 44981.
#> 8 33840… 1957228… 2011-09-26 08:08:00 2011-10-02 15:53:00 44635.
#> 9 20960… 1168285… 2011-09-28 11:09:00 2011-10-03 15:53:00 36926.
#> 10 95644… 1711510… 2011-09-24 23:59:00 2011-10-03 18:10:00 69779.
#> # ℹ 4,388 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $CVA
#> # A tibble: 1,876 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 41238… 1543704… 2011-09-19 15:31:00 2011-09-27 13:11:00 103948.
#> 2 80514… 1330628… 2011-09-21 14:52:00 2011-09-29 17:38:00 94170.
#> 3 12307… 1747094… 2011-09-24 16:34:00 2011-09-30 17:21:00 66481.
#> 4 20903… 1777797… 2011-09-26 12:19:00 2011-10-04 15:38:00 79281.
#> 5 54938… 1173347… 2011-09-30 17:47:00 2011-10-05 16:50:00 49108.
#> 6 93886… 1877891… 2011-09-19 17:47:00 2011-10-05 17:25:00 105698.
#> 7 42704… 1654264… 2011-09-28 22:00:00 2011-10-06 17:08:00 65041.
#> 8 40653… 1576434… 2011-10-05 15:31:00 2011-10-11 14:26:00 81910.
#> 9 26260… 1818390… 2011-09-27 13:43:00 2011-10-13 14:14:00 86323.
#> 10 28646… 1984495… 2011-10-12 10:10:00 2011-10-14 15:15:00 82165.
#> # ℹ 1,866 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $`Cardiac Catheterization`
#> # A tibble: 2,339 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 66583… 3578143… 2011-01-04 05:00:00 2011-01-04 00:00:00 20852
#> 2 10022… 3911589… 2011-01-04 05:00:00 2011-01-04 00:00:00 18334
#> 3 28724… 3226717… 2011-01-05 05:00:00 2011-01-05 00:00:00 19353
#> 4 54076… 3773686… 2011-01-05 05:00:00 2011-01-05 00:00:00 18334
#> 5 89111… 3082518… 2011-01-13 05:00:00 2011-01-11 00:00:00 1377
#> 6 91877… 3385295… 2011-01-13 05:00:00 2011-01-13 00:00:00 18405
#> 7 89111… 3040689… 2011-01-13 05:00:00 2011-01-13 00:00:00 18587
#> 8 75773… 3380647… 2011-01-14 05:00:00 2011-01-14 00:00:00 20069
#> 9 22385… 3740963… 2011-01-17 05:00:00 2011-01-17 00:00:00 18428
#> 10 91434… 3628134… 2011-01-17 05:00:00 2011-01-17 00:00:00 20056
#> # ℹ 2,329 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $`Carotid Endarterectomy`
#> # A tibble: 72 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 91886… 1012723… 2011-12-02 11:51:00 2011-12-04 15:32:00 29553.
#> 2 84879… 1998441… 2012-02-02 06:37:00 2012-02-05 19:38:00 35181.
#> 3 35685… 1235700… 2012-03-16 16:26:00 2012-03-23 11:22:00 87273.
#> 4 84879… 1412023… 2012-03-30 09:31:00 2012-04-02 17:57:00 36213.
#> 5 76802… 1501987… 2012-04-03 09:43:00 2012-04-05 13:11:00 27293.
#> 6 21571… 1253613… 2012-03-29 21:26:00 2012-04-05 14:53:00 82206.
#> 7 88958… 1446390… 2012-03-27 19:35:00 2012-04-05 16:35:00 89350.
#> 8 25304… 1257726… 2012-05-29 08:52:00 2012-06-04 11:53:00 57470.
#> 9 85997… 1406791… 2012-05-29 06:40:00 2012-06-04 12:40:00 52616.
#> 10 19040… 1247816… 2012-05-31 06:57:00 2012-06-04 14:30:00 37105.
#> # ℹ 62 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $`Cataract Removal`
#> # A tibble: 4,930 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 24432… 3904707… 2010-01-05 05:00:00 2010-01-05 00:00:00 31283.
#> 2 42767… 3950850… 2010-01-05 05:00:00 2010-01-05 00:00:00 12833.
#> 3 27436… 3391956… 2010-01-05 05:00:00 2010-01-05 00:00:00 11770.
#> 4 16795… 3399694… 2010-01-05 05:00:00 2010-01-05 00:00:00 12729.
#> 5 26318… 3554661… 2010-01-05 05:00:00 2010-01-05 00:00:00 12833.
#> 6 61280… 3763722… 2010-01-06 05:00:00 2010-01-06 00:00:00 15748.
#> 7 80833… 3967666… 2010-01-06 05:00:00 2010-01-06 00:00:00 14165.
#> 8 11824… 3033075… 2010-01-06 05:00:00 2010-01-06 00:00:00 13065.
#> 9 87504… 3162148… 2010-01-06 05:00:00 2010-01-06 00:00:00 12735.
#> 10 87077… 3940813… 2010-01-07 05:00:00 2010-01-07 00:00:00 11514.
#> # ℹ 4,920 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $Cellulitis
#> # A tibble: 3,311 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 91937… 1963079… 2011-09-21 16:35:00 2011-09-23 13:42:00 20322.
#> 2 14415… 1523695… 2011-09-23 13:59:00 2011-09-23 18:00:00 6860.
#> 3 30115… 1278133… 2011-09-21 05:31:00 2011-09-24 10:50:00 28990.
#> 4 11190… 1462795… 2011-09-22 16:32:00 2011-09-25 16:47:00 17947.
#> 5 20122… 1114115… 2011-09-25 23:58:00 2011-09-26 13:30:00 8604.
#> 6 66023… 1101427… 2011-09-25 02:04:00 2011-09-27 14:18:00 26726.
#> 7 36903… 1842522… 2011-09-25 16:14:00 2011-09-27 18:10:00 13143.
#> 8 94675… 1694578… 2011-09-28 19:23:00 2011-09-29 10:40:00 12203
#> 9 64313… 1204713… 2011-09-19 21:06:00 2011-09-30 16:54:00 95473.
#> 10 81980… 1108154… 2011-09-30 22:52:00 2011-10-01 12:28:00 8901.
#> # ℹ 3,301 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $`Chest Pain`
#> # A tibble: 2,766 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 62048… 1900262… 2011-09-19 16:53:00 2011-09-20 19:20:00 10426.
#> 2 24825… 1518935… 2011-09-19 21:51:00 2011-09-21 10:55:00 19261.
#> 3 98859… 1774049… 2011-09-19 18:47:00 2011-09-22 12:50:00 27736.
#> 4 60653… 1933930… 2011-09-21 23:51:00 2011-09-22 18:03:00 12116.
#> 5 55103… 1113333… 2011-09-22 04:39:00 2011-09-23 14:54:00 18740.
#> 6 95431… 1167648… 2011-09-22 20:11:00 2011-09-24 16:30:00 17625.
#> 7 87695… 1365338… 2011-09-25 21:52:00 2011-09-26 01:47:00 8509.
#> 8 36204… 1460612… 2011-09-24 20:00:00 2011-09-26 21:47:00 31526.
#> 9 60438… 1812202… 2011-09-27 22:31:00 2011-09-28 11:10:00 11644.
#> 10 84478… 1030571… 2011-09-28 16:29:00 2011-09-28 19:28:00 7463.
#> # ℹ 2,756 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $`Colonoscopy/Endoscopy`
#> # A tibble: 11,486 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 55897… 3869688… 2010-01-04 05:00:00 2010-01-04 00:00:00 8788.
#> 2 13463… 3990577… 2010-01-05 05:00:00 2010-01-05 00:00:00 7607.
#> 3 80092… 3361584… 2010-01-06 05:00:00 2010-01-06 00:00:00 9567.
#> 4 53897… 3961488… 2010-01-06 05:00:00 2010-01-06 00:00:00 8671.
#> 5 51791… 3022697… 2010-01-07 05:00:00 2010-01-07 00:00:00 7966.
#> 6 94563… 3247268… 2010-01-08 05:00:00 2010-01-08 00:00:00 8695.
#> 7 97321… 3978227… 2010-01-08 05:00:00 2010-01-08 00:00:00 7277.
#> 8 10341… 3542481… 2010-01-08 05:00:00 2010-01-08 00:00:00 8783.
#> 9 40727… 3471312… 2010-01-08 05:00:00 2010-01-08 00:00:00 8988.
#> 10 96631… 3784146… 2010-01-10 20:54:00 2010-01-10 00:00:00 7656.
#> # ℹ 11,476 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $`GI Hemorrhage`
#> # A tibble: 2,404 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 45079… 1076298… 2011-09-24 07:08:00 2011-09-26 18:00:00 18964.
#> 2 78632… 1595472… 2011-09-24 15:09:00 2011-09-27 12:06:00 27776.
#> 3 80547… 1555948… 2011-09-20 01:23:00 2011-09-27 21:20:00 87188.
#> 4 21014… 1246530… 2011-09-25 20:58:00 2011-09-28 15:50:00 36404.
#> 5 53480… 1976271… 2011-09-20 02:55:00 2011-09-30 19:32:00 115091.
#> 6 84440… 1899305… 2011-09-28 20:00:00 2011-10-01 12:06:00 26018.
#> 7 55748… 1658072… 2011-09-28 23:44:00 2011-10-02 13:23:00 64608.
#> 8 22340… 1938596… 2011-09-30 20:00:00 2011-10-03 14:00:00 25310.
#> 9 80292… 1911753… 2011-09-30 09:09:00 2011-10-05 15:34:00 55967.
#> 10 33494… 1977982… 2011-08-25 13:20:00 2011-10-05 16:38:00 301838.
#> # ℹ 2,394 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $`General Outpatient`
#> # A tibble: 50,526 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 86069… 3519249… 2010-01-04 05:00:00 2010-01-04 00:00:00 25984.
#> 2 60856… 3602225… 2010-01-04 05:00:00 2010-01-04 00:00:00 22774.
#> 3 80673… 3125290… 2010-01-04 05:00:00 2010-01-04 00:00:00 10690.
#> 4 99766… 3372388… 2010-01-04 05:00:00 2010-01-04 00:00:00 7325.
#> 5 23979… 3139267… 2010-01-04 05:00:00 2010-01-04 00:00:00 9119.
#> 6 56640… 3346223… 2010-01-04 05:00:00 2010-01-04 00:00:00 10628
#> 7 43395… 3323331… 2010-01-04 05:00:00 2010-01-04 00:00:00 8677.
#> 8 54736… 3159812… 2010-01-05 05:00:00 2010-01-05 00:00:00 9604.
#> 9 71143… 3070269… 2010-01-05 05:00:00 2010-01-05 00:00:00 8839.
#> 10 27377… 3185100… 2010-01-05 05:00:00 2010-01-05 00:00:00 10185.
#> # ℹ 50,516 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $`Joint Replacement`
#> # A tibble: 447 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 35741… 1963731… 2011-09-20 06:42:00 2011-09-23 18:27:00 70655.
#> 2 45785… 1385680… 2011-09-27 07:51:00 2011-09-30 17:30:00 76480.
#> 3 96001… 1647184… 2011-09-27 05:30:00 2011-09-30 18:20:00 90495.
#> 4 78560… 1955538… 2011-09-22 09:00:00 2011-10-04 17:05:00 128587.
#> 5 24244… 1536456… 2011-10-04 11:09:00 2011-10-07 15:13:00 80185.
#> 6 45372… 1900289… 2011-10-04 06:33:00 2011-10-07 17:15:00 73753.
#> 7 68583… 1223451… 2011-10-04 05:00:00 2011-10-07 17:15:00 86199.
#> 8 76901… 1228116… 2011-10-04 08:25:00 2011-10-07 17:20:00 70719.
#> 9 84765… 1344408… 2011-10-13 05:25:00 2011-10-18 20:21:00 82033.
#> 10 13510… 1879596… 2011-10-18 05:00:00 2011-10-21 16:18:00 97454.
#> # ℹ 437 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $`Laparoscopic Cholecystectomy`
#> # A tibble: 2,456 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 44174… 3094545… 2010-01-05 05:00:00 2010-01-05 00:00:00 13263.
#> 2 42989… 3855977… 2010-01-12 05:00:00 2010-01-13 00:00:00 13717.
#> 3 80834… 3647383… 2010-01-19 05:00:00 2010-01-20 00:00:00 13915.
#> 4 24888… 3164824… 2010-01-28 05:00:00 2010-01-29 00:00:00 12403.
#> 5 25026… 3107332… 2010-01-28 05:00:00 2010-01-29 00:00:00 13995.
#> 6 43792… 3606774… 2010-01-29 05:00:00 2010-01-30 00:00:00 13725.
#> 7 31761… 3103216… 2010-02-02 05:00:00 2010-02-02 00:00:00 13763.
#> 8 12868… 3439301… 2010-02-04 05:00:00 2010-02-05 00:00:00 13602.
#> 9 86010… 3136153… 2010-02-05 05:00:00 2010-02-06 00:00:00 15136.
#> 10 40209… 3923213… 2010-02-11 05:00:00 2010-02-11 00:00:00 12798.
#> # ℹ 2,446 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $MI
#> # A tibble: 2,253 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 13778… 1779125… 2011-09-22 15:44:00 2011-09-23 12:48:00 13819.
#> 2 75904… 1290112… 2011-09-29 11:57:00 2011-09-29 15:15:00 23384.
#> 3 56932… 1127730… 2011-09-29 21:58:00 2011-09-30 16:37:00 11806.
#> 4 33544… 1537839… 2011-09-18 13:21:00 2011-10-04 15:52:00 165563.
#> 5 80141… 1426155… 2011-09-18 15:50:00 2011-10-06 15:25:00 137769.
#> 6 44194… 1588054… 2011-09-30 09:14:00 2011-10-07 09:00:00 64195
#> 7 15917… 1023432… 2011-10-07 04:19:00 2011-10-08 16:30:00 29082.
#> 8 45753… 1636854… 2011-10-02 02:37:00 2011-10-11 14:40:00 89552.
#> 9 15982… 1131846… 2011-10-09 07:14:00 2011-10-16 15:50:00 46561.
#> 10 75745… 1816201… 2011-10-16 16:39:00 2011-10-17 19:56:00 10487.
#> # ℹ 2,243 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $`Major Depression/Bipolar Affective Disorders`
#> # A tibble: 2,866 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 83028… 1773215… 2011-09-19 16:52:00 2011-09-22 13:18:00 12668.
#> 2 52413… 1344738… 2011-09-17 15:46:00 2011-09-28 15:13:00 41043.
#> 3 76863… 1963121… 2011-09-20 20:26:00 2011-09-28 17:11:00 30736.
#> 4 31780… 1094724… 2011-09-26 00:15:00 2011-09-30 13:55:00 17790.
#> 5 51449… 1225742… 2011-09-28 22:44:00 2011-10-03 14:35:00 19806.
#> 6 16347… 1925531… 2011-09-30 16:55:00 2011-10-03 15:06:00 13748.
#> 7 95753… 1886595… 2011-09-24 20:06:00 2011-10-03 15:07:00 34606.
#> 8 52126… 1594861… 2011-09-22 19:56:00 2011-10-03 15:21:00 40757.
#> 9 75670… 1235696… 2011-09-27 16:18:00 2011-10-03 15:26:00 24597.
#> 10 42724… 1433227… 2011-09-19 10:39:00 2011-10-04 12:40:00 55108.
#> # ℹ 2,856 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $Mastectomy
#> # A tibble: 58 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 80731… 1129236… 2011-11-07 04:43:00 2011-11-09 13:05:00 33908.
#> 2 37638… 1018182… 2011-11-14 06:43:00 2011-11-15 14:20:00 28817.
#> 3 57062… 1503680… 2011-11-28 04:49:00 2011-11-29 15:00:00 29532.
#> 4 57598… 1330344… 2011-12-12 09:22:00 2011-12-13 18:00:00 22163.
#> 5 67748… 1066637… 2011-12-12 05:32:00 2011-12-14 14:00:00 36931.
#> 6 81680… 1751336… 2012-01-16 06:00:00 2012-01-16 11:25:00 19637.
#> 7 26174… 1748684… 2012-01-30 05:15:00 2012-01-31 18:30:00 25352.
#> 8 59559… 1265426… 2012-02-06 05:00:00 2012-02-07 16:51:00 58899.
#> 9 79465… 1419822… 2012-04-02 05:45:00 2012-04-03 13:50:00 104772.
#> 10 27380… 1719685… 2012-04-16 05:57:00 2012-04-17 14:35:00 86889.
#> # ℹ 48 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $Medical
#> # A tibble: 64,435 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 15915… 1588023… 2011-09-11 19:55:00 2011-09-13 16:01:00 23983.
#> 2 24790… 1351333… 2011-09-18 22:00:00 2011-09-21 14:10:00 29385.
#> 3 40945… 1350530… 2011-09-20 22:23:00 2011-09-21 16:15:00 12161.
#> 4 67359… 1906290… 2011-09-19 23:09:00 2011-09-21 17:27:00 16550.
#> 5 36661… 1162679… 2011-09-21 03:14:00 2011-09-21 17:30:00 17444.
#> 6 59649… 1179016… 2011-09-20 22:57:00 2011-09-21 22:30:00 27419
#> 7 65736… 1669246… 2011-09-21 09:45:00 2011-09-22 11:35:00 38719.
#> 8 27099… 1828863… 2011-09-21 20:19:00 2011-09-22 11:35:00 9612.
#> 9 78487… 1754195… 2011-09-20 15:47:00 2011-09-22 12:30:00 21077.
#> 10 17896… 1716209… 2011-09-21 15:44:00 2011-09-22 12:42:00 11714.
#> # ℹ 64,425 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $PTCA
#> # A tibble: 1,343 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 65802… 1922614… 2013-12-16 18:42:00 2013-12-18 15:54:00 95300.
#> 2 47960… 1712037… 2013-12-17 09:24:00 2013-12-20 11:44:00 126548.
#> 3 88081… 1416143… 2013-12-16 15:57:00 2013-12-21 18:29:00 165931.
#> 4 47327… 1242762… 2013-12-20 23:49:00 2013-12-24 16:27:00 72849.
#> 5 68288… 1687746… 2013-12-08 13:12:00 2013-12-24 18:40:00 277715.
#> 6 65853… 1602546… 2013-12-24 12:16:00 2013-12-27 17:21:00 129947.
#> 7 22470… 1919563… 2014-01-02 22:02:00 2014-01-05 12:45:00 122591.
#> 8 70383… 1542050… 2014-01-02 17:37:00 2014-01-08 15:18:00 155744.
#> 9 30699… 1996197… 2014-01-07 15:17:00 2014-01-14 15:51:00 280973.
#> 10 15526… 1350260… 2014-01-11 22:29:00 2014-01-15 12:13:00 100158.
#> # ℹ 1,333 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $`PTCA Outpatient`
#> # A tibble: 369 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 40037… 3514125… 2013-12-18 05:00:00 2013-12-19 00:00:00 107785.
#> 2 65938… 3525540… 2013-12-19 05:00:00 2013-12-20 00:00:00 99169.
#> 3 64137… 3456566… 2013-12-19 05:00:00 2013-12-20 00:00:00 104680.
#> 4 32157… 3927503… 2013-12-20 05:00:00 2013-12-20 00:00:00 85622.
#> 5 97406… 3404098… 2014-01-08 05:00:00 2014-01-08 00:00:00 54834.
#> 6 52799… 3644914… 2014-01-09 05:00:00 2014-01-10 00:00:00 38735.
#> 7 31448… 3922625… 2014-01-28 05:00:00 2014-01-28 00:00:00 73034.
#> 8 69180… 3654599… 2014-01-29 05:00:00 2014-01-30 00:00:00 69213.
#> 9 79461… 3382468… 2014-01-30 05:00:00 2014-01-31 00:00:00 73589.
#> 10 35852… 3344079… 2014-02-18 05:00:00 2014-02-18 00:00:00 73071.
#> # ℹ 359 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $Pneumonia
#> # A tibble: 3,323 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 41168… 1339933… 2011-09-19 00:15:00 2011-09-20 18:15:00 13585.
#> 2 87344… 1581344… 2011-09-21 09:39:00 2011-09-24 18:21:00 38143.
#> 3 64810… 1511895… 2011-09-23 20:30:00 2011-09-26 12:45:00 23686.
#> 4 23339… 1813741… 2011-09-23 15:18:00 2011-09-26 13:23:00 26700.
#> 5 43861… 1935030… 2011-09-22 14:03:00 2011-09-26 20:03:00 32690.
#> 6 35356… 1551465… 2011-09-21 20:50:00 2011-09-27 16:34:00 45089.
#> 7 49815… 1349707… 2011-09-23 02:48:00 2011-09-30 18:10:00 50528.
#> 8 77558… 1443601… 2011-09-30 15:42:00 2011-10-01 11:28:00 12873.
#> 9 72612… 1249400… 2011-09-30 19:05:00 2011-10-03 18:47:00 18688.
#> 10 36317… 1539295… 2011-10-01 10:44:00 2011-10-04 13:59:00 24887.
#> # ℹ 3,313 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $Schizophrenia
#> # A tibble: 1,681 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 78864… 1578423… 2011-09-10 10:37:00 2011-09-16 14:08:00 25230.
#> 2 90780… 1948172… 2011-09-12 20:18:00 2011-09-22 13:19:00 37537.
#> 3 24439… 1541902… 2011-09-17 20:52:00 2011-09-23 14:34:00 24523.
#> 4 17550… 1239946… 2011-09-15 19:56:00 2011-10-04 10:50:00 70223.
#> 5 90449… 1067597… 2011-09-26 10:16:00 2011-10-06 15:08:00 40697.
#> 6 21252… 1222746… 2011-10-05 10:32:00 2011-10-11 14:28:00 25232.
#> 7 47554… 1507806… 2011-09-24 19:18:00 2011-10-12 15:41:00 62677.
#> 8 34234… 1699816… 2011-10-06 19:05:00 2011-10-13 12:57:00 34400.
#> 9 70046… 1132874… 2011-10-07 20:28:00 2011-10-14 15:26:00 26578.
#> 10 74820… 1025221… 2011-10-11 20:57:00 2011-10-19 13:46:00 30806.
#> # ℹ 1,671 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $Surgical
#> # A tibble: 14,916 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 58762… 1957238… 2011-09-19 20:12:00 2011-09-21 11:17:00 33911.
#> 2 66908… 1572987… 2011-09-20 09:09:00 2011-09-22 10:27:00 16933.
#> 3 55391… 1020021… 2011-09-21 23:20:00 2011-09-22 15:44:00 13050.
#> 4 28900… 1121152… 2011-09-20 05:00:00 2011-09-22 17:51:00 24769.
#> 5 46455… 1937756… 2011-09-22 20:09:00 2011-09-23 18:07:00 32807.
#> 6 86883… 1781570… 2011-09-23 05:00:00 2011-09-24 11:44:00 20214.
#> 7 74525… 1390406… 2011-09-25 07:23:00 2011-09-26 17:45:00 37743.
#> 8 91913… 1827659… 2011-09-23 13:36:00 2011-09-27 11:47:00 53769.
#> 9 95797… 1767983… 2011-09-11 20:12:00 2011-09-27 15:47:00 161126.
#> 10 68422… 1124488… 2011-09-26 07:18:00 2011-09-28 14:42:00 105689.
#> # ℹ 14,906 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $Syncope
#> # A tibble: 1,854 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 23076… 1461398… 2011-09-20 01:18:00 2011-09-20 10:38:00 13422.
#> 2 84855… 1170655… 2011-09-19 18:23:00 2011-09-21 15:51:00 21865.
#> 3 47360… 1041458… 2011-09-20 23:24:00 2011-09-22 13:34:00 17635
#> 4 29909… 1798395… 2011-09-22 15:38:00 2011-09-25 15:12:00 33088.
#> 5 86969… 1347663… 2011-09-25 15:28:00 2011-09-26 16:43:00 14623.
#> 6 16815… 1367750… 2011-09-23 17:02:00 2011-09-26 18:51:00 27595.
#> 7 74671… 1467173… 2011-09-25 02:07:00 2011-09-26 22:00:00 34697.
#> 8 58540… 1224109… 2011-09-22 23:12:00 2011-09-27 18:47:00 29705.
#> 9 44743… 1018572… 2011-09-27 18:07:00 2011-09-28 18:40:00 16385.
#> 10 69830… 1136058… 2011-09-27 10:55:00 2011-09-28 21:16:00 5867.
#> # ℹ 1,844 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $TIA
#> # A tibble: 1,490 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 11900… 1817373… 2011-09-26 20:51:00 2011-09-27 14:07:00 15764.
#> 2 40157… 1365680… 2011-09-26 22:49:00 2011-09-29 18:35:00 27759.
#> 3 81648… 1909292… 2011-10-08 15:57:00 2011-10-11 16:46:00 44648.
#> 4 35853… 1358966… 2011-10-06 19:41:00 2011-10-13 11:24:00 66200.
#> 5 35309… 1512759… 2011-10-10 17:33:00 2011-10-13 15:46:00 32168.
#> 6 60037… 1754357… 2011-10-09 21:27:00 2011-10-13 16:03:00 37201.
#> 7 24439… 1805134… 2011-10-12 14:56:00 2011-10-17 14:21:00 56238.
#> 8 95326… 1662410… 2011-10-13 14:44:00 2011-10-20 16:27:00 85644.
#> 9 97257… 1096965… 2011-10-19 23:02:00 2011-10-23 14:11:00 37159.
#> 10 19835… 1741208… 2011-10-16 19:00:00 2011-10-24 16:56:00 65126.
#> # ℹ 1,480 more rows
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $`Vaginal Delivery`
#> # A tibble: 11 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 97356… 1473544… 2011-12-14 15:30:00 2011-12-14 17:37:00 5707
#> 2 54205… 1412111… 2012-01-31 07:10:00 2012-01-31 09:00:00 7885.
#> 3 78836… 1257448… 2012-03-05 13:51:00 2012-03-05 16:40:00 11019.
#> 4 51141… 1989466… 2012-06-12 12:02:00 2012-06-12 13:17:00 7702
#> 5 63911… 1743794… 2012-07-06 08:59:00 2012-07-06 11:07:00 7386.
#> 6 16156… 1997707… 2012-07-13 09:15:00 2012-07-13 11:59:00 15250.
#> 7 25535… 1161988… 2012-09-22 18:35:00 2012-09-22 22:00:00 8301.
#> 8 88987… 1605284… 2012-11-04 00:50:00 2012-11-11 14:14:00 46743.
#> 9 88866… 1936904… 2012-12-14 07:10:00 2012-12-15 20:37:00 12017.
#> 10 93192… 1506189… 2013-03-06 12:01:00 2013-03-06 13:31:00 8192.
#> 11 79312… 1724518… 2013-09-08 22:32:00 2013-09-08 23:21:00 6599.
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>
#> $`Valve Procedure`
#> # A tibble: 8 × 17
#> mrn visit_id visit_start_date_time visit_end_date_time total_charge_amount
#> <chr> <chr> <dttm> <dttm> <dbl>
#> 1 698201… 1919502… 2014-10-01 02:44:00 2014-10-01 10:30:00 61967.
#> 2 825784… 1181134… 2014-11-19 15:29:00 2014-11-20 22:42:00 95348.
#> 3 697728… 1925626… 2015-06-12 22:07:00 2015-06-13 02:00:00 210729.
#> 4 497633… 1911039… 2016-01-12 02:12:00 2016-01-13 12:25:00 209630.
#> 5 586969… 1572755… 2016-01-12 09:06:00 2016-01-14 14:55:00 244695.
#> 6 729922… 1565557… 2016-04-06 10:38:00 2016-04-15 16:33:00 215360.
#> 7 507774… 1715639… 2018-06-05 00:37:00 2018-06-05 13:58:00 295358.
#> 8 444943… 1920905… 2020-07-13 10:21:00 2020-07-13 15:00:00 341798.
#> # ℹ 12 more variables: total_amount_due <dbl>, total_adjustment_amount <dbl>,
#> # payer_grouping <chr>, total_payment_amount <dbl>, ip_op_flag <chr>,
#> # service_line <chr>, length_of_stay <dbl>, expected_length_of_stay <lgl>,
#> # length_of_stay_threshold <lgl>, los_outlier_flag <dbl>, readmit_flag <dbl>,
#> # readmit_expectation <lgl>
#>