Sequential Mapping - A Novel Approach to Map from ICD-10-CM to ICD-11

Area of Science:

• Health Informatics
• Medical Classification Systems
• Data Interoperability

Background:

• The World Health Organization (WHO) is transitioning to the International Classification of Diseases, Eleventh Revision (ICD-11) for mortality statistics.
• The United States will likely continue using the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) for morbidity coding.
• A mapping solution is essential for seamless data exchange between ICD-10-CM and ICD-11 coded datasets.

Purpose of the Study:

• To investigate innovative methods for the automated generation of an ICD-10-CM to ICD-11 map.
• To leverage existing map data through sequential application for improved mapping accuracy.

Main Methods:

• Exploration of novel automated approaches for map derivation.
• Sequential application of existing mapping resources, specifically comparing ICD-10 and SNOMED CT as intermediate steps.

Main Results:

• Sequential mapping utilizing ICD-10 demonstrated superior coverage and accuracy compared to mapping via SNOMED CT.
• The study identified trade-offs between coverage, recall, and precision across different sequential mapping strategies.

Conclusions:

• Automated sequential mapping provides a valuable tool for generating draft ICD-10-CM to ICD-11 maps.
• This approach significantly reduces the manual effort required for curating comprehensive and accurate final maps.
• The choice of sequential mapping strategy impacts the balance between map completeness and precision.