Workshops & Seminars | OHDSI Introductory Tutorial (In Person)

Mui Van Zandt

VP/GM, Real World Data & Techology

Mui Van Zandt  is VP/GM, Real World Data & Technology at IQVIA where she is leading efforts to utilize real world data and technology to better understand a patient’s medical journey.  Mui’s background is in software development, data management, and data standardization.  Mui has extensive knowledge working on large patient databases globally using different technology/architecture designs to standardize into the OMOP CDM, the standard vocabularies, and ensuring data of high quality. Mui also serves as the leader of OHDSI (Observational Health Data Science and Informatics)  Asia Pacific community where she drives strategic objectives across the APAC region. 

1 December 2022, 0900 - 1230

MD1- Tahir Foundation Building (117549), NUS
Level 8 Computer Lab 1

*Limited Seats available


Free, please pay a SGD50 deposit here and email us to confirm your seat after registration. The deposit will be refunded to you upon the completion of the tutorial (online booking fee applies).


*Participants will receive a participation certificate upon completion of the tutorial. 

Founded in 2014, the Observational Health Data Sciences and Informatics (OHDSI, pronounced “Odyssey”) initiative grew out of the successful Observational Medical Outcomes Partnership (OMOP). OHDSI is a multi-stakeholder, interdisciplinary, open-science collaborative to bring out the value of health data through large-scale analytics. With more than 2,000 collaborators across 74 countries and health records for about 810 million unique patients from around the world, OHDSI seeks to improve health by empowering a community to collaboratively generate the evidence that promotes better health decisions and better care. OHDSI’s data network is based on its OMOP common data model, enabling federated analytics amongst collaborators.

This introductory tutorial will cover the history and development of OHDSI / OMOP community, its global adaptions and how OMOP ecosystem works, in which Mui will walk through the process, tools and benefits of performing OMOP CDM conversion, ETL process, data quality check, analytics, and network research with CDM data and OHDSI community.


  • 9AM -10AM – OHDSI/OMOP Intro
    • The history and development of OHDSI/OMOP
    • Global adaption
    • OHDSI research network and publications
  • 10AM -11AM – OMOP CDM and Vocabulary
    • Standard vocabulary mapping
    • Vocabulary hierarchy
    • Common Data Model Intro
  • Tea Break 11-1130AM
  • 1130 to 1230PM – OMOP Conversion ETL Process
    • Agile approach of ETL conversion
    • Data analysis
    • Code development
    • Data quality checks