Blog
Notes on coding clinical data, from the team that ships the API.
Walkthroughs, integration patterns, and the standards behind the endpoints. Written for engineers who have to make a coding pipeline actually work.
Coding COPD with exacerbation in ICD-10-CM (J44.x)
How the J44.x family captures chronic obstructive pulmonary disease, why the with-convention matters, and a Python snippet that walks a clinical note through /v1/code to land the right code.
ICD-10 to ICD-11 migration: what changes for billing systems
The structural differences between ICD-10-CM and ICD-11 MMS, what the WHO timeline actually looks like for member states, and how to use AutoICD /v1/translate to map between the two while you run a dual-coding period.
HCC gap capture in under 60 lines of Python
A working Python script that calls /v1/audit with the HCC capability, parses missed_codes, and prints the RAF lift you would have captured if you coded the note correctly. Real CMS rates, no mocked numbers.
SNOMED CT vs ICD-10: when to use which
SNOMED CT is a clinical terminology, ICD-10 is a billing classification. They overlap in vocabulary but solve different problems. A practical guide for engineers picking which one to store, query, and ship across an interface.
Reading RxNorm with the AutoICD reference API
RxNorm uses term types like IN, BN, SCD, and SBD to organise medications by ingredient, brand, and dose form. A guided tour with code that traverses from a brand name to its underlying ingredients via /v1/reference/rxnorm.