preproc_hcru_fun: preproc_hcru_fun

In hcruR: Estimate, Compare, and Visualize Healthcare Resource Utilization for Real-World Evidence

preproc_hcru_fun

Description

This function helps to pre-process the heath care resource utilization (HCRU) for a given electronic health record data for a given set of settings e.g. IP, OP, ED/ER, etc.

Usage

preproc_hcru_fun(
  data,
  cohort_col = "cohort",
  patient_id_col = "patient_id",
  admit_col = "admission_date",
  discharge_col = "discharge_date",
  index_col = "index_date",
  visit_col = "visit_date",
  encounter_id_col = "encounter_id",
  setting_col = "care_setting",
  pre_days = 180,
  post_days = 365,
  readmission_days_rule = 30
)

Arguments

data	A dataframe specifying the health care details
cohort_col	A character specifying the name of the cohort column
patient_id_col	A character specifying the name of the patient identifier column
admit_col	A character specifying the name of the date of admission column
discharge_col	A character specifying the name of the date of discharge column
index_col	A character specifying the name of the index date or diagnosis column
visit_col	A character specifying the name of the date of visit/claim column
encounter_id_col	A character specifying the name of the encounter/claim column
setting_col	A character specifying the name of the HCRU setting column e.g. IP, ED, OP, etc.
pre_days	Number of days before index (default 180 days)
post_days	Number of days after index (default 365 days)
readmission_days_rule	Rule for how many days can be permissible to define readmission criteria in AP setting (default 30 days)

Value

dataframe with HCRU estimates.

Examples

preproc_hcru_fun(data = hcru_sample_data)

hcruR documentation built on Sept. 2, 2025, 1:09 a.m.