In Bulletin of the World Health Organization, Nova Scholar Claudia M. Witt and coauthors explore how new coding standards can improve data collection for traditional medicine.
Traditional medicine is widely used globally but poorly captured in routine health data. Electronic health records and insurance claims lack structured fields for traditional medicine diagnoses making it difficult to track usage, costs, outcomes, and safety concerns. The 11th Revision of the international statistical classification of diseases and related health problems addresses part of this gap in chapter 26. It provides standardized codes for traditional medicine conditions enabling dual coding of traditional medicine concepts alongside conventional diagnoses.
However, there are limitations. Chapter 26 is optional, so country adoption varies. Insurance coverage also shapes what gets coded, therefore private-sector traditional medicine may remain invisible. The authors recommend several actions including strengthening interoperability with other health data systems, countries tracking adoption and use of the codes, regular audits to examine how insurance policies affect coding practices, and more.





