Africa Chapter:The Africa Chapter will devote the session to discussing strategies for using the OMOP CDM and OHDSI tools to strengthen surveillance and epidemiology of Monkey Pox (Mpox).  We will be joined by representatives from the Africa CDC and USAID to map the WHO Mpox Case Investigation Form (CIF) to the OMOP CDM. We would love having a clinical domain expert join us for this session.  If you have access to an OMOP’d database with Monkey pox cases (suspected or confirmed), please contact Cynthia Sung (cynthia.sung@duke-nus.edu.sg), 8am-10am.

Asia-Pacific Chapter: Come join us to help the OHDSI APAC community to define our objectives in 2025 and understand how we can achieve these goals, 8am-10am.

Evidence Network Data Partners: This session is for anyone in the OHDSI Community who has data and wants to participate in network studies. We will touch on ways to enrich your OMOP CDM instance, common challenges faced by data partners, and how to join the OHDSI Evidence Network, 11am-1pm.

Geographic Information System (GIS): Please join the GIS Workgroup at the 2024 OHDSI Global Symposium (4-hour activity). The description/learning objectives proposed by the GIS workgroup leads: Andrew Williams, Kyle Zollo-Venecek, and Robert Miller are as follows: What kinds of use cases does the OHDSI GIS infrastructure support (current and planned)? How do you go from identifying a public data source on place related to working with it in the OHDSI ecosystem? How do you deploy and maintain the needed software? 8am-1pm.

HADES Hackathon: HADES (Health-Analytics Data-to-Evidence Suite) is the set of R packages used in most OHDSI studies. At the hackathon, developers will work in small teams on the HADES codebase to fix problems and add improvements. Anyone interested in helping out with HADES, whether you’re a beginner or an experienced developer, is encouraged to join us, 8am-4pm.

Health Equity: We’re excited to present key highlights at the symposium:
1. Unveil Collaborations: Discover the latest updates from our projects, showcasing the synergy between the HE WG & other OHDSI WGs.
2. Delve into Network Study Results: Gain insights from our latest research and its implications for health equity.
3. Participate in a Mini Study-a-Thon: Contribute to real-time research efforts in an engaging, hands-on session.
4. Explore Digital Health Literacy: Discuss this emerging concern in health equity and strategies to address it.
5. Gain Insights from DEI Experts: Learn how to effectively communicate data to policymakers, from the perspectives of diversity, equity, and inclusion specialists, 8am-1pm.

Latin America Chapter: We will gather the LATAM community and encourage the participants to go to the symposium. We will use the space to connect and share experiences, 8am-1pm.

Medical Devices: The Medical Device WG workshop will focus on OMOP or OMOP extension for medical device RWE research, 11am-1pm.

Natural Language Processing (NLP): The primary goal of the NLP working group is to promote the use of textual information from Electronic Health Records (EHRs) for observational studies under the OHDSI umbrella. To facilitate this objective, the group are developing methods and software that can be implemented to utilize clinical text for studies by the OHDSI community, 11am-1pm.

OMOP + FHIR: The OMOP + FHIR WG has been developing a specification to standardize transformations for common core EHR data.  An important component of this specification is the concept-to-concept transformations between FHIR and OMOP, leveraging the FHIR ConceptMap Resource. This 4-hour workshop will provide examples and hands-on activities of FHIR ConceptMap resource source data transformed to OHDSI Standardized Vocabularies on the OMOP CDM developed in the FHIR to OMOP Implementation Guide.  Also, we will elicit input from working group members for additional vocabulary use cases to consider that are not currently represented in the Implementation Guide, 8am-1pm.

Oncology: The Oncology Workgroup focuses on providing a platform for standardization of cancer data enabling the conduct of observational cancer studies and identifying patient cohorts in a distributed research network. In this session, we will work together to make progress on one of the  main challenges in oncology: identification of cancer and disease episodes and population of the Episode tables, 8am-1pm.

Patient-level Prediction (PLP): Improve software accessibility and simplicity:
– Work together to write documentation on going from “I can program R” to “I have put together a network study package”.
– 1+ new members run a PLP network study.
– Work together to write documentation and example converting an externally developed, non-OMOP model into PLP/OMOP format.
– 1+ member converts at existing model into the PLP/OMOP format, 8am-1pm.

Perinatal and Reproductive Health: The Perinatal and Reproductive Health Group (PRHeG) is an interdisciplinary workgroup that aims to develop tools and standards for perinatal and reproductive health research, to foster collaborative studies within the OHDSI network and advance research in the field. The co-leaders of PRHeG will facilitate this workgroup, and we will plan specific activities during our monthly work group meetings. People with all levels of familiarity with OHDSI and with perinatal and reproductive health are encouraged to attend, 8am-10am.

Phenotype Evaluation: Phenotype development and evaluation will hold half a day working session where we will focus on the new methods and approaches aimed to improve phenotype development and/or evaluation, 8am-1pm.