Strategic pathways to International Classification of Diseases, 11th Revision, adoption in France and the United States

TL;DR

This paper discusses how France and the US can adopt the new ICD-11 health classification system to improve healthcare data and outcomes.

Contribution

The paper outlines distinct adoption strategies for ICD-11 in France and the US, emphasizing coordination and resource allocation.

Findings

France prioritizes system readiness and pilot testing for ICD-11 integration.

The US focuses on regulatory alignment and funding for ICD-11 adoption.

Academic research is crucial for optimizing ICD-11 implementation and assessing its impact.

Abstract

The International Classification of Diseases, 11th Revision (ICD-11), developed by the World Health Organization, represents a transformative update to global health data classification systems. Building on the foundation of ICD-10, it introduces innovative features such as multilingual coding, advanced interoperability, postcoordination, and improved specificity, enabling better alignment with modern healthcare and digital information systems. This commentary explores the adoption pathways for ICD-11 in France and the United States, 2 countries with complex healthcare infrastructures and distinct implementation strategies. France's phased roadmap, led by the National Health Information Agency, prioritizes system readiness, workforce training, and pilot testing to ensure smooth integration with hospital information systems. In contrast, the United States, guided by the National Committee on Vital and Health Statistics, focuses on regulatory alignment, funding models, and system modifications to support a seamless transition. The manuscript underscores the critical role of academic research in refining ICD-11's applications, assessing its impact on healthcare quality, and optimizing tools for implementation. Drawing lessons from early adopters globally, we advocate for a coordinated, resource-driven approach to achieve full ICD-11 adoption within 5 years. This transition is poised to enhance health data accuracy, support clinical research, and improve population health outcomes worldwide.