iSNOMED

Integrate SNOMED CT terminology seamlessly into healthcare platform with iSNOMED

iSNOMED is a Generative AI-powered clinical coding copilot for clinicians, CDI teams, medical coders, and clinical researchers. It reads clinical notes, radiology summaries, discharge narratives, and unstructured medical free-text to automatically produce SNOMED CT concepts and ICD-10-CM codes, with a plain-language explanation for each assigned code to support clinical transparency and faster review.

iSNOMED Product Landing Page:

https://www.drspline.com/snomed

Why it matters

Traditional coding workflows can take 30 - 60 minutes for discharge summaries and require manual search through terminology tools. iSNOMED reduces coding turnaround to seconds - including real-time coding for very-short notes (1 - 3 lines) in <3 seconds - while maintaining high accuracy validated on large internal test sets.

Key capabilities

1) Auto-extract SNOMED CT concepts from clinical narratives.

2) Convert SNOMED CT to ICD-10-CM to support billing, reporting, and regulatory workflows.

3) Relationship graph/hierarchy view to explore SNOMED semantic tags and concept relationships for deeper clinical insight.

4) Include other terminologies (e.g., RxNorm, MedDRA, ICD-11, ICD-O, LOINC) on request.

5) Convert large corpora of clinical text into SNOMED-coded data and cohort discovery.

How it’s delivered on Azure

1) Deployable as an Azure-hosted service.

2) Designed to integrate with clinical systems via API (and optionally align to HL7/FHIR integration patterns if you expose those endpoints).

Prerequisites/requirements

1) Rights to use SNOMED CT content in their jurisdiction/setting.

2) Clinical codes should be reviewed/validated by qualified staff as part of the coding workflow (supported Microsoft products + prerequisites)

Benefits

1) Seconds, not hours: Generate SNOMED/ICD-10-CM output in seconds vs 30–60 minutes per discharge summary.

2) Explainable coding: Each code comes with an explanation to accelerate clinician/coder review.

3) Clinical insight: SNOMED relationship graph helps explore related findings/conditions and semantic context.

4) Foundation for analytics: Convert unstructured clinical text into SNOMED-based datasets for cohort discovery and research.

Plan names + plan descriptions

1) Standard Plan: Hospitals/Clinics - Per user Monthly License Plan
License cost: $150/user month

Credit Allocation: 7500 credits per month (1 credit = 1 sentence of medical report ~100 chars)

2) Medium Plan: Hospitals/Clinics - Per user Monthly License Plan

License cost: $200/user month

Credit Allocation: 10000 credits per month (1 credit = 1 sentence of medical report ~100 chars)

3) Enterprise Plan (Multi-site + Research)
Multi-analytics export, bulk corpus transformation for population analytics/cohort discovery, and

enterprise support/SLA. Cost based on the number of users and multi-site usage