Description Usage Arguments Value Examples

Allows calculation of projected revenue for upcoming 36 months along with target revenue for corresponding months.

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`procedures` |
df or tibble containing 3 columns (name, annual volume, annual revenue) |

`growth` |
numeric vector of length 3; c(1, 10, 100) would represent expected growth of 1 percent in year 1, 10 percent in year 2 (compared to year 1), and 100 percent in year 3 (compared to year 2) |

`comp_ratio` |
numeric vector of length 4 containing compensation ratio (on average) of following insurances relative to Medicare: Medicare (should be 1), Medicaid, Commercial (private), and Other (self-pay, bad debt) |

`ins_prop` |
numeric vector of length 4 containing proportion of patients with following types of insurance: Medicare, Medicaid, Commercial (private), and Other (self-pay, bad debt); sum of this vector should equal unity |

`tech_fee_mult` |
technical fee as a multiple of procedural fee |

`month_prop` |
proportion of revenue expected in each of 12 months of the year |

`restoration` |
proportion of expected revenue expected in each of 36 upcoming months due to acute economic event being modeled |

`boost_amt` |
boost amount for up to 8 procedure sets |

`boost_proc` |
list of boost procedures for each of 8 boosts above |

`boost_start` |
start month (between 1 and 36, inclusive) for each of 8 boosts above |

`boost_end` |
end month (between 1 and 36, inclusive) for each of 8 boosts above |

list with 2 numeric vectors of length 36 each

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
# sample dataset of procedures
eg_procs <- data.frame(Name = c("Sample 1", "Sample 2", "Sample 3"),
Revenue = c(100000, 200000, 150000),
Volume = 1000, 25, 750)
# calculate revenue projections for next 36 months with default parameters
proj <- calc_rev(eg_procs)
# print 36-month target revenues
print(proj$Target)
# print 36-month projected revenues
print(proj$Projected)
``` |

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