Add 2024-25 SNOMED CT data

[kayleepn]

Closes #136

[kayleepn]

opencodecounts/data-raw/icd10_code_usage.R

Lines 218 to 224 in 5b4f9ee

	# Check (but dont fix) codes with multiple descriptions
	codes_with_multiple_desc <- opencodecounts:::get_codes_with_multiple_desc(
	icd10_usage,
	icd10_code
	)
	length(codes_with_multiple_desc)
	# [1] 214

The number of codes with multiple descriptions went from 214 to 213 after adding 2024-25 FY data

[milanwiedemann]

Thanks, this looks great 🚀

[milanwiedemann]

@kayleepn I explored this a bit further, it looks like even when removing the new year from the data, codes with multiple descriptions were 213 (same as after the addition of 2024-25), and the codes appear to be identical identical(old_multiple_desc, new_multiple_desc).

Although the underlying data might have changed, I think it is far more likely that I made a mistake last time I wrote down the count for codes with multiple descriptions here, so I suggest we just move on and merge without further investigation.

> library(tidyverse)
> library(opencodecounts)
> icd10_usage_old <- icd10_usage |> filter(start_date < "2024-04-01")
> icd10_usage_new <- icd10_usage
> old_multiple_desc <- opencodecounts:::get_codes_with_multiple_desc(
+   icd10_usage_old,
+   icd10_code
+ )
> length(old_multiple_desc)
[1] 213
> new_multiple_desc <- opencodecounts:::get_codes_with_multiple_desc(
+   icd10_usage_new,
+   icd10_code
+ )
> length(new_multiple_desc)
[1] 213
> identical(old_multiple_desc, new_multiple_desc)
[1] TRUE