CDM Survey Subgroup: Mapping Survey Data to the OMOP Common Data Model-The CDM Survey Sub-workgroup workshop welcomes anyone interested in or actively mapping survey data to the OMOP common data model (CDM). Surveys are powerful systematic data collection tools which gather critical self-reported information from respondents through questionnaires, interviews, online forms, and more. Mapping these data to the standardized OMOP CDM format allows survey data to be pooled or combined with other observational data for research purposes. In this workshop, participants will have the opportunity to connect with others working at the intersection of survey methodology and the OMOP CDM. We aim to build an engaged community and provide resources to further efforts with mapping survey data. A main goal of this workshop is to discover and compile existing mapping resources, including publications, GitHub repositories, and other materials, into a centralized location. Additionally, we will begin establishing initial guiding principles and best practices by drawing on the experiences of the workshop participants. Whether you are a beginner or an experienced practitioner, this workshop offers valuable insights and collaborative opportunities to enhance your survey data mapping projects and contribute to the development of effective strategies for integrating survey data into the OMOP CDM, 1:30pm-3:30pm.

Data Bricks User Group: From Zero to a Full OHDSI Stack on Databricks in 60 minutes: An Introduction to OHDSI on Databricks In this session, participants will be able to create a complete OHDSI implementation using Databricks for their Common Data Model (CDM). Participants are also invited to come and observe and learn how to create a complete OHDSI implementation using Databricks without implementing their own instance during the session. This session will cover creating an Amazon Web Services account to host your Databricks data, creating a new Databricks account and instance, creating all of the required connection strings, tokens, and other artifacts, installing and configuring Broadsea, importing and connecting to CDM data (in this case, a test dataset will be used), running OHDSI tools such as Achilles and the Data Quality Dashboard, running an example study using Strategus, and interacting with Atlas. This is a Windows based solution, Mac and other operating systems are currently not supported. Participants who would like to build their own Databricks OHDSI instance should arrive with a modern laptop running Windows 10 or better. It would also be helpful to have your AWS instance in place ahead of time, but this is not strictly required, and we will be covering how to set up AWS for Databricks during the session. Information on creating an AWS instance for Databricks is available at https://ohdsi.github.io/DatabaseOnSpark/developer-how-tos_aws_setup.html. AWS is a paid service, and you will be required to provide payment information such as a credit card. This session should incur about $5 to $10 in AWS costs. We will be using free two-week trial instances of Databricks, 1:30pm-5:00pm.

Eyecare & Vision Research: We will be discussing network studies using newly added eye exam concepts, 1:30pm-3:30pm.

Evidence Network Data Partners: We will convene as a group to discuss our yearly progress, what has gone well and where we can improve as an open collaborative evidence network, 1:30pm-3:30pm.

HADES Hackathon: Continues from the morning

Health Equity: This interactive workshop will explore approaches for leveraging OMOP CDM data to address health disparities and promote equitable healthcare outcomes. Participants will engage in collaborative exercises focused on standardizing social determinants of health data elements, developing validated phenotypes for underserved populations, and implementing analytical frameworks that account for structural determinants of health. The session will showcase recent health equity use cases from the OHDSI community and provide practical guidance for incorporating equity considerations into observational research. Both newcomers and experienced OHDSI collaborators are welcome to join this hands-on session, 1:30pm-3:30pm

Medical Devices: We will connect with Medical Device WG members and discuss our key deliverables this year – the CDM draft paper, and the OHDSI book chapter. We then also discuss how to move forward with the Medical Device Terminology Standardization mission, 1:30pm-3:30pm.

Psychiatry: Discuss ongoing workgroup activities including: 1) Outcomes and lessons learned from ongoing and completed studies, 2) Ideas for future potential studies, 3) Terminology improvements and need for psychiatric research, and 4) Specific cases of CDM modeling related to neuropsychiatric events, 1:30pm-3:30pm.

Rare Disease: The OHDSI Rare Disease Working Group is dedicated to advancing collaborative research and methodological innovation to improve the identification, characterization, and treatment of rare diseases using real-world data. Our work focuses on leveraging the OMOP Common Data Model to enable scalable, reproducible studies across a global network of data partners. During this session, we will share recent progress, discuss ongoing projects, and explore opportunities for new collaborations. We welcome researchers, clinicians, data scientists, and all interested stakeholders to join us in shaping the future of rare disease research within the OHDSI community, 1:30pm-3:30pm.

Surgery & Perioperative Medicine: The Surgery and Perioperative Medicine Work Group aims to generate real-world evidence to improve the care of surgical patients through OHDSI’s global, open-science methods and community. This year, we’ve advanced preoperative research through the development and standardization of surgical phenotypes, contributed to enhancements in OHDSI’s procedural vocabulary mappings, and built upon prior work to develop an analysis package for a large-scale incidence rate study of surgical outcomes. If you’re a clinical researcher focused on the surgical journey, a methodologist, a data partner, or an R aficionado, now is the time to bring your expertise and connections to a greenfield domain uniquely poised for network-scale clinical impact. Join our meeting to hear what we’ve accomplished, what we’re planning next, and how you can get involved, 1:30pm-3:30pm.

Women of OHDSI (WoO): Empowerment/leadership speaker on a selected topic OR OHDSI Celebrities and their OHDSI Journeys Montage, 1:30pm-3:30pm.