Clinical Classifications Software (CCS): map to 4-character ICD codes

Source: R/reference.R

A map of 283 clinical concepts to 4-character ICD codes adapted from the Clinical Classifications Software (CCS) (Healthcare Cost and Utilization Project 2020) .

ccs

Format

A data frame with 72,446 ICD-10-CM codes mapped to CCS multilevel categories.

Source

Adapted from (Healthcare Cost and Utilization Project 2020) for 4-character ICD-10 codes.

Details

The Clinical Classifications Software (CCS) is a database developed as part of the Healthcare Cost and Utilization Project (HCUP) which maps ICD-10-CM codes into 283 hierarchical and mutually-exclusive CCS categories. Level-1 categories correspond to the ICD-10's 17 chapters plus two supplementary classifications:

  1. Infectious and parasitic diseases

  2. Neoplasms

  3. Endocrine; nutritional; and metabolic diseases and immunity disorders

  4. Diseases of the blood and blood-forming organs

  5. Diseases of the nervous system and sense organs

  6. Diseases of the circulatory system

  7. Diseases of the respiratory system

  8. Diseases of the digestive system

  9. Diseases of the genitourinary system

  10. Complications of pregnancy; childbirth; and the puerperium

  11. Diseases of the skin and subcutaneous tissue

  12. Diseases of the musculoskeletal system and connective tissue

  13. Congenital anomalies

  14. Certain conditions originating in the perinatal period

  15. Injury and poisoning

  16. Symptoms; signs; and ill-defined conditions and factors influencing health status

  17. Residual codes; unclassified; all E codes [259. and 260.]

  18. Mental Illness

This dataset can help group ICD-10 into a smaller number of mutually-exclusive categories, such as aggregating data.

References

Healthcare Cost and Utilization Project (2020). “Beta Versions of the Classifications Software (CCS) for ICD-10-CM Diagnoses.” www.hcup-us.ahrq.gov/toolssoftware/ccsr/ccs_refined.jsp.

See also

For the mapping function, see map_ICD10_CCS(). For the Clinical Classifications Software Refined, see ccsr.

Examples

data("ccs")
head(ccs)
#> # A tibble: 6 × 11
#>   icd_code ccs_cat_code ccs_cat_desc         ccs_L1_code ccs_L1_desc ccs_L2_code
#>   <chr>    <chr>        <chr>                <chr>       <chr>       <chr>      
#> 1 A000     135          Intestinal infection 9           Diseases o… 9.1        
#> 2 A001     135          Intestinal infection 9           Diseases o… 9.1        
#> 3 A009     135          Intestinal infection 9           Diseases o… 9.1        
#> 4 A0100    135          Intestinal infection 9           Diseases o… 9.1        
#> 5 A0101    76           Meningitis (except … 6           Diseases o… 6.1        
#> 6 A0102    3            Bacterial infection… 1           Infectious… 1.1        
#> # ℹ 5 more variables: ccs_L2_desc <chr>, icd_code_4chars <chr>,
#> #   icd_code_3chars <chr>, keep_4chars <lgl>, keep_3chars <lgl>