1
Choose one or more coding systems
Set
system to an array of one or more system identifiers. Systems are typically combined by encounter type — for example, icd10cm-outpatient + cpt for office visits and ED encounters, or icd10cm-inpatient + icd10pcs for hospital admissions. See Coding Systems for the full list.2
Pass your clinical context
The
context field is an array of context objects. Two input types are supported:- Text —
type: "text"with the clinical text intext. Pass multiple objects to provide multiple context sources. - Document —
type: "documentId"with a document ID indocumentId, referencing a document already stored in Corti.
3
Read the response
codes contains the medical entities the model predicts should be coded. candidates contains entities that are clinically relevant but not strictly required — optional codes surfaced for human review. usageInfo.creditsConsumed reports the credits used for the request, which is reflected in your account billing.Examples
A request against a single coding system
A request against a single coding system
A request against multiple coding systems in one request
A request against multiple coding systems in one request
Notice the response includes codes from all requested systems in the same
codes array, each tagged with its system value:Next Steps
Coding Systems
Details on available systems and recommendations of pairings by use case.
Integration Guides
Learn how to combine code prediction with agents and client-side content to build coding workflows.
Codes and candidates
Learn more about the predict codes response message including two objects,
codes and candidates.Code filtering
Learn how to restrict codes the model may predict using the
filter field.Please contact us if you need help getting started or run into issues with your first request.