Flag and Classify Readmissions — prep_flag_readmission • anumaan

For each patient, classifies admissions into:

index: First admission for this patient.
linked_readmission: Readmission within gap_linked_days – treated as the same episode. Excluded from HAI incidence counts.
new_readmission: Readmission between gap_linked_days and gap_new_days.
late_readmission: Readmission after gap_new_days – fully new event.

Usage

prep_flag_readmission(
  data,
  patient_col = "patient_id",
  admission_col = "admission_date",
  gap_linked_days = 30,
  gap_new_days = 90
)

Arguments

data: Data frame.
patient_col: Character. Patient ID column. Default "patient_id".
admission_col: Character. Admission date column. Default "admission_date".
gap_linked_days: Numeric. Gap threshold for linked readmissions. Default 30.
gap_new_days: Numeric. Gap threshold for new vs late readmissions. Default 90.

Value

Data frame with readmission_class column added.