From data collection to downstream data use: Malaysia's experience with ICD-11.

Area of Science:

• Health Informatics
• Public Health Surveillance
• Medical Classification Systems

Background:

• The transition to the International Statistical Classification of Diseases 11th Version (ICD-11) in Malaysia provides access to comprehensive morbidity and mortality data.
• Accurate data portrayal is crucial for understanding health complexities.

Purpose of the Study:

• To document Malaysia's experience implementing ICD-11.
• To detail the process from data collection to downstream data application.

Main Methods:

• Improvements were made to existing health information systems (HIS) and non-HIS.
• Data was manually entered or automatically mapped from ICD-10 to ICD-11.
• Nationwide ICD-11 data collection was initiated across all hospitals.

Main Results:

• The study outlines lessons learned regarding legacy systems, ICD-11 updates, mapping, and reporting.
• Human resources and application development were key considerations.
• Standardized ICD-11 data collection and use were achieved.

Conclusions:

• Successful implementation of ICD-11 is feasible even with limited resources and heterogeneous systems through careful planning.
• Utilizing ICD-11 data in downstream applications significantly improves data quality for research and business needs.