Knowledge Combined Common Data Model: A Graph-Based Integration of Reactome and OMOP CDM

Session Track: Data Intelligence

Session Time: 03:30 am - 04:00 am November 6

Session description

Although clinical databases capture patient phenotypes and treatments, they often lack direct connections to the underlying biological pathways that drive disease processes and therapeutic responses. We developed a unified graph structure by integrating two complementary knowledge sources—the Reactome pathway database and the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) containing MIMIC-IV clinical data. We expect that this integrated graph structure provides a foundation for mechanistic interpretation of clinical outcomes by connecting patient-level observations to underlying biological processes.

Speaker

Sungjae Jung

Senior Manager, Encore Inc.

Sung Jae Jung is a senior manager at Encore with more than 20 years of experience in database systems and data architecture. He holds a Ph.D. in Information Science and Technology from UST Korea and currently serves as project editor for ISO/IEC 29075 (function libraries for advanced analytics in data management). Previously, Sung Jae was a research assistant professor at Seoul National University Bundang Hospital, focusing on big data platforms and machine learning in healthcare. Jung specializes in graph data science and knowledge graph construction, with recent work integrating biomedical databases using Neo4j to bridge clinical data with molecular mechanisms for precision medicine applications.