OHDSI 2022 Workgroup Activities Schedule & Registration

A highlight of the OHDSI 2022 Symposium will be a full weekend of workgroup activities and meetings within the Bethesda North Marriott Hotel & Conference Center. You are now able to register for any workgroup sessions as long as there is no overlap between any two sessions; registration is free, but please do so early as this will be first-come, first-served due to room capacity.

Saturday will also include the full-day tutorial entitled “An Introductory Journey From Data To Evidence.” That event requires its own registration; you can learn more about the tutorial here. The main conference will be held Friday, Oct. 14, in the ballroom. Registration has opened for that event, which will kick off our symposium weekend.

Learn more about the different workgroup activities below.

ALL-HANDS WORKGROUP MEETING: The all-hands workgroup meeting will be an opportunity for OHDSI collaborators across all workgroups to come together and hear updates on ongoing activities from our workgroup leaders, as well as to brainstorm and prioritize collaboration opportunities within and across OHDSI workgroups, and to identify next steps for advancing OHDSI’s mission together. When: Sunday, Oct. 16, 8am-12pm

COMMON DATA MODEL/DATA QUALITY: The CDM and DQD working groups will collaborate in one 4-hour session. It will be focused on how the data model and data quality are related by brainstorming ways we can better evaluate data quality and address data quality issues within the standard construct of the OMOP CDM. When: Sunday, Oct. 16, 1pm-5pm

EDUCATION: The Education WG will meet for the first time in person and work on strategic development of education and training for the OHDSI community, to be presented into our strategy document. This meeting will provide an opportunity to present the OKRs for 2022 and what the WG is achieving this year, inclusive of materials, resources, dashboards. It will also explore the OHDSI learning curve and discuss experiences and recommendations from attendees on supporting the OHDSI community. When: Sunday, Oct. 16, 1pm-3pm

FHIR-OMOP/DATA HARMONIZATION: The OMOP-FHIR common model harmonization sub-group and the community are developing standard ways to transform data from one model to the other. In this workshop we will review progress to date, including questions that remain open. When: Saturday, Oct. 15, 1pm-3pm

FHIR-OMOP/ONCOLOGY: FHIR-to-OMOP harmonization for cancer data exchange. This workgroup will be a combination of lecture and demo of the work done in the FHIR-OMOP Oncology Use Case sub-group to map and align the FHIR minimum Common Oncology Data Elements (mCODE) FHIR IG with OMOP CDM 5.4. It will reference the OMOP Oncology Extensions and the OMOP Genomics work where applicable. Users will: learn to navigate FHIR artifacts (via the mCODE Implementation Guide) and query FHIR servers containing mCODE conformant FHIR resources, query the OMOP CDM DB containing translated the mCODE data, identify considerations and challenges with structural and semantic translations in the context of mCODE and cancer data exchange. The workshop will conclude with a group discussion to identify how we can achieve better alignment among the two models. When: Saturday, Oct. 15, 3pm-5pm

FHIR-OMOP/TERMINOLOGIES: Preservation and management of terminology semantic integrity supporting observational data: transformation, mapping, provenance, and metadata strategies in Translational research analytics. The current state of observation data transformation management has resulted in a proliferation of approaches to data normalization and alignment that have accordingly created an explosion of maps. When publicly available, data transformation maps are of varying quality and are often configured to meet single clinical domain or project-specific objectives. Sufficient metadata associated with the context of creation and quality of map metadata is universally lacking. In this workshop we will present rationale for translational research data transformation management, including implementation examples mapping Real World Data to OMOP, at-scale. Data transformations that accommodate divergent underlying ontologies supporting rare disease, bench science and clinical specialty data-to-OMOP will be included. The workshop will introduce A Simple Standard for Sharing Ontology Mappings (SSSOM) and its utilization by the OMOP + FHIR collaboration and the OHDSI Vocab Working Group. The session will include a brief, hands-on session aiming to familiarize attendees with SSSOM components. When: Part 1 Saturday Oct. 15, 8am-10am; Part 2 5pm-7pm

FHIR-OMOP/ Increasing the Value of Data Through a Rich Set of Attributes. Supporting the opinion that data elements need to have a rich set of attributes, coupling knowledge and linkages to the data element, the workshop proposes to introduce the idea with examples, and work with the workshop participants to flesh out the idea and expand the set of attributes. When: Saturday Oct. 15, 10am-12pm

HADES HACK-A-THON: During the HADES hack-a-thon, participants will work on the Hades codebase with support from several HADES maintainers. Participants can work in groups, and we welcome both new and experienced contributors to join. When: this workgroup activity has Part 1, Saturday, Oct. 15, 8am-12pm and Part 2 Sunday, Oct. 16, 1pm-5pm

HEALTH EQUITY: The Health Equity WG will host a two-hour session to discuss data needs for equity research, review health equity workgroup initiatives, and identify opportunities for future collaborative work. When: Sunday, Oct. 16, 3pm-5pm

METHODS RESEARCH (PLE/PLP): The Methods Research workgroup will use this time to discuss ongoing methods research supporting OHDSI’s 2022 goal of building an evidence generation system. Each research group will provide a short summary of the work done so far, followed by in-depth discussion of how to proceed. When: Saturday, Oct. 15, 1pm-5pm

NATURAL LANGUAGE PROCESSING (NLP): A two-hour session for discussing the ongoing activities and future directions with special focus on revising representation of textual data in the OMOP CDM, developing NLP tools to extract, transform and load textual data, and identify relevant multi-site clinical studies that utilize both structured and textual data. When: Saturday, Oct. 15, 3pm-5pm

ONCOLOGY: The OMOP Oncology module aims to provide a foundation for representing cancer data at the levels of granularity and abstraction required to support observational cancer research. In this workshop, you will learn and debate how to deal with the challenges of cancer research in OMOP. Proposed agenda: Overview of the Oncology module, mapping cancer data to the Standardized Vocabularies for cancer, including base diagnosis, staging, grading, and metastasis, mapping genomic data to OMOP Genomic Vocabularies, mapping RxNorm to HemOnc, population of the Episode Table. When: Saturday, Oct. 15, 8am-3pm

PHENOTYPE EVALUATION: Outcome misclassification is acknowledged but rarely estimated in clinical applications of observational health sciences research. In this activity, we will introduce a probabilistic reference standard validation method that can estimate the measurement errors of phenotype definitions rapidly without manual chart review. We will estimate the measurement error of a covid19 adverse event of special interest and assess its alignment with phenotype characterization results. When: Sunday, Oct. 16, 1pm-5pm

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