OHDSI is a global, multi-stakeholder, interdisciplinary and open-science network that collaborates to bring out the value of health data through large-scale analytics. Our Asia-Pacific (APAC) community comprises six regional chapters (Australia, China, Japan, Singapore, South Korea, Taiwan) and has led important OHDSI initiatives around the world.
The first OHDSI APAC Symposium was held virtually Dec. 5-6, 2020, and it provided an opportunity for our Asia-Pacific collaborators (along with others around the world) to share research, provide community updates, collaborate in regional breakouts or network discussions, and have some OHDSI fun.
The APAC community has its own group in the OHDSI MS Teams environment to promote greater collaboration on our collaborative efforts. It will also be the home of our bi-weekly APAC Community Calls, where we will provide updates, share research presentations, collaborate on topics of shared interest, and plenty more. How can you get involved? First, request access to our MS Teams Environment, then request access to our OHDSI APAC workgroup. You can also join the meetings by using this direct link.
Our calls are scheduled on a bi-weekly basis, held every other Thursday/Wednesday depending on where you live. All calls are recorded, so if you miss one or want to share with a collaborator, check out the call recordings below.
2021 APAC ETL Training Tutorial: The APAC community led a two-day ETL training tutorial August 12-13, 2021. It included seven sessions (Introduction to ETL & Source Data Analysis, Vocabulary Mapping Part I, Vocabulary Mapping Part II, ETL Specification Writing, ETL Specification Review, Common Issues in ETL Conversion and OMOP ETL Development, and Data Quality Checks). You can watch all of the recordings now on the tutorial homepage.
The August 10 Community Call featured a preview of the 2021 OHDSI Global Symposium, which will be held virtually Sept. 12-15. The full presentation is below, but registrations opened for the Sunday tutorial, Monday workshop, and the main symposium on Tuesday and Wednesday. Links and agenda are below:
Sunday, September 12: Building Conceptsets Tutorial Please check out our Conceptsets Tutorial homepage and note the limitations on registration so be sure to sign up soon!
Monday, September 13: OHDSI Reproducibility Challenge Workshop Please check out our OHDSI Reproducibility Challenge Workshop homepage and note the limitations on registration for workshop collaborators; there is no registration limit for workshop observers.
Tuesday, September 14: 8 am – 9 am ET: State of the Community 9 am – 12 pm ET: Plenary session “OHDSI Impact on Covid-19 pandemic” 1 pm – 5 pm ET: Collaborator Showcase 5 pm ET: Networkin
Wednesday, September 15: 3 am – 7 am ET: Collaborator Showcase 8 am – 12 pm ET: Plenary “Generating Reliable Evidence” 1 pm ET: Networking
Korea • Nationwide Korean administrative claim data (HIRA) has been mapped to OMOP-CDM ranging 2010 to 2019 for entire Korean population • More Korean hospitals including three hospitals in Yonsei University Health System (Severance; Gangnam Severance; Yongin Severance hospital) joined OHDSI with available OMOP-CDM v5.3.1 databases
China • Organization change with 3 directions – Training and engagement, Methods and tools, and Clinical studies • Vocabulary update: mapping local concepts to ICD-10-CN and SNOMED, and ICD-10-CN 6-digit to SNOMED
Japan • Going to start a mapping project for drugs
Taiwan • OHDSI Taiwan Official website currently under development • Joined APAC Hypertension study and will join CORAZON study
Australia • Upcoming 2021 ODHSI Australia Webinar Series – CaVa: Populating the OMOP oncology extension directly from clinical data
Singapore • Ministry of Health in Singapore will adopt OMOP methodologies for real-world studies
• Assistant Professor Yuan Lu: Comprehensive comparative effectiveness and safety of second-line antihypertensive agents: Utilizing the LEGEND principles to mobilize collaboration across the OHDSI APAC network
• Professor Namki Hong: Development of Common Data Model for Rare Endocrine Diseases (REDCDM) platform