From ICD-10 to ICD-11: What Healthcare Leaders Need to Know

Last updated on
March 10, 2025
Medical coding. It’s not a flashy subject, but it underpins every aspect of your healthcare system—from patient care and analytics to billing and compliance. For decades, ICD-10 has been the gold standard for coding. But today, healthcare leaders are beginning to ask, Is ICD-11 the step we need to take to future-proof our systems? In this blog, we’ll explore what ICD-11 brings to the table, why countries are adopting it, and how healthcare organizations can prepare for the transition. This isn’t just about compliance—it’s about staying relevant, efficient, and ready for the future.

The ICD Journey: From 10 to 11

What Made ICD-10 a Big Leap?

When ICD-10 replaced ICD-9, it was more than a minor update—it was a revolution. With 68,000 codes compared to ICD-9’s 13,000, it introduced the granularity healthcare systems needed to better document diagnoses and procedures. But while it solved many challenges of the time, the healthcare world has since outgrown it.

What’s Driving ICD-11 Adoption?

Released by the World Health Organization (WHO) in 2019, ICD-11 addresses the pain points that have emerged with ICD-10:

Interoperability: ICD-11 aligns seamlessly with digital tools like electronic health records (EHRs), AI platforms, and international standards like SNOMED CT.

Ease of Use: Despite its depth, ICD-11 simplifies coding by reducing redundancies and improving logical code structures.

Future-Proofing: Its digital-first design ensures it will evolve alongside modern technologies.

ICD-11 isn’t just a better coding system—it’s a smarter one, designed for the era of big data, AI, and global connectivity.

Who’s Leading the ICD-11 Charge?

icd 11 leaders

Adoption of ICD-11 is already underway globally:

United Arab Emirates (UAE): A regional leader, the UAE has made significant progress in integrating ICD-11 into its healthcare infrastructure.

European Countries: Nations like Belgium and the Netherlands are at the forefront of piloting ICD-11 in national health systems.

Asia: Japan is exploring phased adoption, leveraging ICD-11’s compatibility with digital health initiatives.

Meanwhile, in the U.S., ICD-10 remains the standard, but the delay provides a window for preparation. The transition to ICD-11 is inevitable—it’s just a matter of time.

Why This Matters to Healthcare Leaders

ICD-11 isn’t just about coding accuracy—it’s about the business of healthcare. Consider these points:

1. Financial Impact

Coding errors cost U.S. healthcare systems $36 billion annually (Journal of AHIMA).

ICD-11’s improved structure reduces ambiguity, meaning fewer errors, faster reimbursements, and lower administrative costs.

2. Global Relevance

As countries adopt ICD-11, staying on ICD-10 could make international collaboration more difficult. Whether it’s research partnerships or global patient care, ICD-11 ensures your organization isn’t left behind.

3. Preparing for Change

Early preparation reduces the disruption of transitions. Organizations investing now in ICD-11-compatible systems, staff training, and automation tools will save costs and avoid rushed implementation later.

Lessons from ICD-10: What We Learned

The transition to ICD-10 wasn’t without its challenges. Some organizations faced:

High Implementation Costs: Upgrading systems and retraining staff added up.

Coding Backlogs: Many organizations underestimated the complexity of the shift, leading to delays in billing and reimbursement.

These lessons should inform how healthcare leaders approach ICD-11. The good news? Technology has advanced significantly since the ICD-10 transition, making this shift smoother for those who plan ahead.

Steps to Get Ahead

Leverage Automation and Integration

Manually mapping codes is labor-intensive and error-prone. Automation tools, like API solutions for diagnostic code mapping, simplify the process and reduce errors. These tools can handle both ICD-10 and ICD-11 codes, ensuring a seamless transition.

For example, our solution integrates directly with EHR systems and uses machine learning to map unstructured clinical data to standardized codes.

Train Your Teams Early

The complexity of ICD-11 requires training not just for coders but for clinicians and administrators. Investing in early education will ease the transition and avoid disruptions later.

Adopt Interoperable Systems

ICD-11 emphasizes global interoperability. Systems that support standards like HL7 and FHIR are better equipped for this transition, enabling seamless data exchange across platforms.

Why This Is an Investment, Not a Cost

Compliance can feel like a burden, but it’s also an opportunity. ICD-11 offers:

Improved Analytics: More precise codes mean better data for decision-making.

Higher Reimbursement Rates: Accurate coding ensures claims are approved faster and with fewer denials.

Operational Efficiency: Automated tools reduce administrative workloads, allowing teams to focus on patient care.

As the saying goes: “The cost of preparation is always lower than the cost of falling behind.”

Conclusion: Future-Proof Your Organization

ICD-11 isn’t just the next version of coding—it’s a roadmap to the future of healthcare. For leaders, this is the moment to take action: review your systems, invest in tools and training, and prepare for a smoother transition. Waiting until the last minute will only amplify costs and risks.

The shift from ICD-10 to ICD-11 isn’t just a change in codes; it’s a transformation in how healthcare organizations operate and collaborate on a global scale. By acting now, you’re not just staying compliant—you’re building a foundation for smarter, more efficient healthcare.

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

The Hidden Cost of Disconnected Data in Healthcare

Disconnected data isn’t just a technical nuisance. It’s a direct threat to patient care, operational efficiency, and the credibility of healthcare institutions. And while electronic systems have become more common, the fragmentation between them continues to undermine their purpose.
Read post