#' Get NDC code from medication name
#'
#' `get_ndc_from_name` returns the ndc code, or the corresponding redbook
#' entries, for medications of a given name. The name provided is matched to
#' the variables "genme" and "prodnme" in the redbook file.
#'
#' @param terms A vector of medication names
#' @param return_all A logical indicator of whether to return all values. Default
#' value is set to FALSE (if FALSE only ndc codes are returned)
#' @param redbook_path The path to the redbook file.
#'
#' @export
get_ndc_from_terms <- function(terms,return_all=FALSE,
redbook_path = "~/Data/redbook.csv"){
redbook <- readr::read_csv(redbook_path,
col_types = readr::cols())
terms <- tolower(terms)
ndc_out <- redbook[0,]
for (i in terms){
tmp_ndc_out <- dplyr::bind_rows(redbook %>%
dplyr::filter(stringr::str_detect(tolower(GENNME),i)),
redbook %>%
dplyr::filter(stringr::str_detect(tolower(PRODNME),i)),
redbook %>%
dplyr::filter(stringr::str_detect(tolower(THRCLDS),i))
) %>%
dplyr::distinct()
ndc_out <- rbind(ndc_out,tmp_ndc_out)
}
if (return_all==FALSE){
ndc_out <- ndc_out %>%
dplyr::select(ndcnum = NDCNUM)
}
return(ndc_out)
}
#' Get Entire Redbook
#'
#' `load_redbook` returns the redbook file as a tibble
#'
#' @param redbook_path The path to the redbook file.
#'
#' @export
load_redbook <- function(redbook_path = "~/Data/redbook.csv"){
redbook <- readr::read_csv(redbook_path,
col_types = readr::cols())
return(redbook)
}
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