The Promise of OMOP and Database Research at Scale in APAC: Opportunities and Gaps

Moderator

Sven Demiya, MBA, MSc, PhD, IQVIA, Minato-ku, Japan

Speakers

Saaya Tsutsue, PhD, Janssen - Johnson&Johnson, Chiyoda, Japan; Mui Van Zandt, IQVIA, United States; Jason C. Hsu, PhD, Taipei Medical University, New Taipei City, Taiwan

Presentation Documents

ISSUE: The Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) has emerged as a valuable framework for large-scale database research and real-world evidence (RWE) generation within the Asia-Pacific (APAC) region. However, acceptance and implementation levels vary significantly, resulting in distinct gaps and missed opportunities for robust data utilization. Understanding regional variations, including areas of high acceptance, limited uptake, and clear gaps, is essential for optimizing OMOP-CDM’s potential to facilitate evidence-based healthcare decisions, effective health technology assessments, and efficient market access processes across APAC.

OVERVIEW: The moderator introduces the session (approximately 15 minutes), emphasizing the global importance of OMOP-CDM for large-scale healthcare database research and outlining significant regional opportunities and adoption gaps within APAC. Speaker 1 (10 minutes) will share academic experiences from Taiwan, detailing successes, challenges, and critical gaps in OMOP-CDM implementation. Discussion will focus on the impact of these gaps on data integration quality, research collaboration, and evidence generation. Speaker 2 (10 minutes) provides an industry-focused viewpoint from Japan, exploring practical implementation successes and barriers encountered with OMOP-CDM. Key impacts on market access, health technology assessment strategies, and database research capabilities will be highlighted. Speaker 3 (10 minutes), representing OHDSI, will discuss lessons from OMOP-CDM implementations across APAC, addressing best practices, common challenges, and strategies for improving data infrastructures and collaboration. The session concludes with a 25-minute interactive discussion involving panelists and the audience, focusing on actionable steps to close identified gaps, enhance OMOP-CDM adoption, and strengthen collaborative database research throughout APAC.

Code

21

Topic Subcategory

Distributed Data & Research Networks

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