ICD-10, ICD-11, SNOMED CT, and Code Mapping: Everything You Need to Know

Last updated on
April 9, 2025

Understanding medical coding systems is essential to anyone working in health IT, clinical documentation, billing, or healthcare analytics. Terms like ICD-10, ICD-11, and SNOMED CT are often used interchangeably, but each serves a unique purpose in healthcare data management. And connecting them through code mapping is what makes clinical systems and billing platforms work together.

This guide breaks down each terminology system and explains how diagnostic code mapping bridges the gap between them.

What Is ICD-10?

ICD-10 stands for the International Classification of Diseases, Tenth Revision. It was developed by the World Health Organization (WHO) and is used globally for tracking diseases, injuries, and causes of death.

In the United States, a clinical modification called ICD-10-CM is used to support diagnosis coding in outpatient and inpatient settings.

Key facts about ICD-10:
- Primarily used for billing and reporting
- Contains 68,000+ codes
- Structured as alphanumeric codes (e.g., E11.9 = Type 2 diabetes without complications)
- Essential for reimbursement and statistical reporting

What Is ICD-11?

ICD-11 is the newest version of the International Classification of Diseases, officially released by WHO in 2018. It is designed for digital health systems, with improved structure, clinical relevance, and multilingual support.

Key updates in ICD-11:
- Digital-native format with post-coordination (allows combining multiple codes)
- Improved support for rare diseases and public health tracking
- Expanded to cover modern clinical terms and technologies
- Not yet implemented in the U.S. (as of 2025), but adoption is growing worldwide

ICD-11 is built with interoperability in mind, making it more adaptable to systems using SNOMED CT and other ontologies.

What Is SNOMED CT?

SNOMED CT (Systematized Nomenclature of Medicine – Clinical Terms) is the most comprehensive, multilingual clinical healthcare terminology in the world. It is maintained by SNOMED International.

Unlike ICD, which is built for external reporting and billing, SNOMED CT is designed for internal clinical use—capturing detailed information at the point of care.

Key features of SNOMED CT:
- Over 350,000 clinical concepts
- Includes diagnoses, symptoms, procedures, medications, findings, and more
- Used inside EHR systems to power decision support, alerts, and documentation
- Highly granular and hierarchical (concepts have parent-child relationships)

Example: “Type 2 diabetes mellitus with peripheral neuropathy” exists as a distinct concept, allowing specific documentation.

ICD-10 vs. SNOMED CT: Key Differences

Feature
ICD-10-CM
SNOMED CT
Purpose
Billing, reporting
Clinical documentation
Granularity
Moderate
High (detailed subtypes)
Structure
Flat list of codes
Hierarchical terminology
Developed By
WHO / NCHS (U.S.)
SNOMED International
Use Case
Claims, public health
EHR, decision support
Mapping Available?
Yes (SNOMED ↔ ICD)
Yes (with context rules)

These systems serve different layers of the healthcare data ecosystem—and that’s why code mapping is essential.

What Is Diagnostic Code Mapping?

Code mapping is the process of translating or linking clinical concepts between different terminologies—most often from SNOMED CT to ICD-10-CM or vice versa.

It ensures that the clinical language used at the point of care (SNOMED) can be transformed into the codes needed for billing and reporting (ICD).

Why mapping matters:
- Prevents loss of clinical detail when exporting records
- Reduces coding errors and claim denials
- Supports research and data exchange
- Enables consistent analytics across systems

Modern code mapping solutions (like APIs or on-prem software) automate this process and allow mappings to be updated as terminology standards evolve.

Why Accurate Code Mapping Matters

Without proper mapping:
- Data gets lost between systems
- Reimbursement is delayed or denied
- Patient summaries become inconsistent

With accurate mapping:
- Systems stay aligned
- Clinicians document naturally while coders and billing teams get structured data
- Organizations meet compliance and reporting requirements without duplication

Final Thoughts

ICD-10, ICD-11, and SNOMED CT are pillars of healthcare classification and communication. But without the right mapping strategy, their benefits stay locked in silos.

Understanding each system—and knowing how to bridge them—puts your organization in a better position to deliver coordinated, compliant, and data-driven care.

Whether you're building an EHR, preparing for ICD-11 adoption, or integrating multiple data sources, reliable code mapping is the connective layer that ensures everything works together.

Looking for a Code Mapping Tool?

We offer API-based and on-premise diagnostic code mapping solutions that translate between SNOMED, ICD-10-CM, and custom vocabularies. Reach out to learn how we can help you simplify interoperability.

10 Clinical Tasks AI Chatbots Can Handle in Under 10 Seconds

Speed is everything in clinical care. This blog highlights 10 real-world tasks that doctors and care teams can complete in under 10 seconds using an internal AI chatbot. From checking labs to retrieving notes or scheduling reminders, these examples demonstrate how conversational AI reduces clicks, cuts delays, and lightens the cognitive load for frontline staff.
Read post

Inside a Modern Healthcare Data Warehouse Architecture: From Raw Data to Actionable Intelligence

A comprehensive walkthrough of a modern Healthcare Data Warehouse (HDW) architecture—built for interoperability, real-time analytics, regulatory compliance, and AI readiness. It outlines each architectural layer, from ingestion and standardization through ETL, data lakes (cloud and on-premise), warehousing, BI tooling (Superset), and governance.
Read post

ICD-10, ICD-11, SNOMED CT, and Code Mapping: Everything You Need to Know

ICD-10, ICD-11, and SNOMED CT are essential coding systems in healthcare, each serving different purposes—from billing and public health tracking to detailed clinical documentation. To bridge these systems, diagnostic code mapping translates clinical terms between terminologies like SNOMED and ICD. This ensures accurate data exchange, faster reimbursement, and better decision support. Understanding and implementing proper mapping strategies is key to building interoperable, efficient healthcare systems.
Read post

How to Simplify ICD and SNOMED Interoperability Across Systems

ICD and SNOMED serve different roles in healthcare—one for billing and reporting, the other for clinical documentation and decision support. Bridging these systems is essential for accurate data exchange, consistent coding, and reliable analytics. This blog outlines five key strategies for simplifying interoperability: defining use-case-driven mapping, implementing real-time bidirectional translation, validating mappings with real clinical data, accounting for diagnostic context and hierarchy, and maintaining versioned, regularly updated maps. A thoughtful, tech-enabled mapping approach ensures diagnostic data is understood the same way across systems—supporting better care, compliance, and collaboration.
Read post

The Role of AI in Enhancing Diagnostic Code Mapping Accuracy

Diagnostic code mapping is foundational to healthcare operations. And when AI is introduced to extract and translate codes from clinical documents, the result is a faster, more consistent, and more scalable process. But the value goes beyond speed.
Read post

5 Ways Accurate Diagnostic Code Mapping Improves Reimbursement, Compliance, and Care Quality

Accurate diagnostic code mapping ensures that every condition, symptom, or clinical finding is translated consistently from documentation to systems—whether it’s ICD-10-CM, SNOMED CT, or a custom internal taxonomy. Here are five ways that kind of precision directly impacts your organization’s financial health, compliance posture, and patient outcomes.
Read post