Skip to content

Latest commit

 

History

History
94 lines (70 loc) · 2.92 KB

README.md

File metadata and controls

94 lines (70 loc) · 2.92 KB

codemapper

R-CMD-check Codecov test coverage pkgdown Launch RStudio Cloud DOI Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public.

The goal of codemapper is to facilitate working with clinical codes used in electronic health records.

This package relies primarily on UK Biobank resource 592 (Clinical coding classification systems and maps) and the UK Biobank data codings file, both of which are publicly available.

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("rmgpanw/codemapper")

Basic example

A data analyst using electronic health records for research into hypertension may wish to build a list of clinical codes that capture this condition.

First, build a local resource containing lookup and mapping tables for various clinical codings systems. A dummy dataset is used here:

library(codemapper)

all_lkps_maps_dummy <- build_all_lkps_maps_dummy()

Look up Read 2 codes for hypertension:

htn_read2 <- code_descriptions_like("Hypertension",
                       code_type = "read2",
                       all_lkps_maps = all_lkps_maps_dummy)

htn_read2
#> # A tibble: 1 × 3
#>   code  description            code_type
#>   <chr> <chr>                  <chr>    
#> 1 G20.. Essential hypertension read2

Map these to ICD10:

htn_icd10 <- map_codes(
  codes = htn_read2$code,
  from = "read2",
  to = "icd10",
  all_lkps_maps = all_lkps_maps_dummy
)

htn_icd10
#> # A tibble: 1 × 3
#>   code  description                      code_type
#>   <chr> <chr>                            <chr>    
#> 1 I10X  Essential (primary) hypertension icd10

See vignette('codemapper') for further details, including how to build a clinical codelist with R Shiny using RunCodelistBuilder().

UK Biobank

Also included are functions for using CALIBER code lists (vignette('caliber')) and Phecodes (vignette('phecodes')) with UK Biobank data.