Background: The integration of Traditional Korean Medicine (TKM) data into international research frameworks remains limited due to heterogeneous data structures and formats and the absence of standardized vocabularies for TKM-specific concepts. While the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) has been widely adopted in conventional medicine, its application to TKM remains in early stages. Objectives: This invited presentation introduces the process and strategies of converting Traditional Korean Medicine electronic health records (EHRs) into the OMOP CDM, highlighting both the methodological aspects of standardization and the future directions for collaborative utilization of TKM data. Methods: We developed systematic code-mapping methodologies to align TKM diagnoses, acupuncture procedures, and herbal medicine prescriptions with OMOP standard terminologies (SNOMED CT, RxNorm, LOINC), and developed new terminological extensions (KIOM terminology) for TKM-unique concepts. An extract–transform–load (ETL) pipeline was established to build a structured and interoperable TKM dataset. Results: The conversion process successfully constructed the WKTKM database, comprising more than 88,000 patients and over 10 million clinical records. Data quality assessment using ACHILLES confirmed the feasibility of large-scale TKM data standardization. Beyond technical feasibility, this work illustrates the potential of TKM-CDM data for multi-center studies, comparative effectiveness research, and integrative medicine analysis. Conclusions: The standardization of Traditional Korean Medicine EHRs into the OMOP CDM represents not merely a technical achievement, but a significant milestone toward enhancing the global visibility of TKM research. Collaborative utilization strategies will enable Traditional Korean Medicine to participate in international research networks, foster evidence based practice, and create opportunities for integrative, cross-disciplinary collaborations.