AI service — AI Medical · Clinical language
Clinical coding support
Propose ICD and CPT codes from discharge summaries, and link free-text mentions to SNOMED CT and UMLS concepts.
Send us your data volume, throughput and latency targets and any constraint we should design around. You get a proposed configuration, a benchmark on your own data, and a known cost per unit of work before you commit.
Coding is a labour cost with a revenue consequence, and it is the clinical NLP task with the clearest business case. These models rank candidate codes from the record and link mentions to a terminology, with the supporting text attached to every suggestion.
Documents arrive over your API or from your document store and come back as ranked codes and linked concepts. Negation, history and family context are flagged explicitly, so a mention that is ruled out is not coded as present.
Every output is clinical decision support, not a diagnosis: a qualified professional reviews and signs it. Where clinical use requires regulatory approval in your jurisdiction, that approval remains yours to hold — we provide the infrastructure, the model operations and the audit trail behind it.
What we size for
We build the clinical coding support pipeline around the workload you actually have: data format, accuracy target, latency, throughput, concurrency, retention and scheduling. Start with a pilot, then scale production capacity without changing a line of your integration.
Common use cases
- Coder assist — Rank candidate codes with supporting text for a coder to confirm.
- Terminology linking — Map free-text mentions to SNOMED CT or UMLS concept IDs.
- Audit and recovery — Re-read coded records to find missed or miscoded activity.
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