Jen Wooyeon Park is a second Ph.D. student in the Biomedical Informatics and Data Science program, advised by Dr. Paul Nagy. Her research focuses on improving personalized medicine by developing a multimodal framework of standardized healthcare data. Her recent work, "Development of Medical Imaging Data Standardization for Imaging-Based Observational Research: OMOP Common Data Model Extension," was published in the Journal of Imaging Informatics and Medicine (https://pubmed.ncbi.nlm.nih.gov/38315345/ ). She presented her work at the Observational Health Data Science and Informatics community call (https://youtu.be/y-hDWs9tRBw).
The publication proposes the imaging extension model to the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM), an open community data standard for organizing observational health data such as EHRs, claims, or registries. Currently limited to procedural information, this extension allows for a more comprehensive inclusion of imaging events and features within a structured data framework. It lays the ground for building a standardized multimodal data model to incorporate unstructured data, such as pixels, into the tabular, relational database. She is working on a reference implementation of the extension model by transforming the Alzheimer's Disease Neuroimaging Initiative database. This effort underscores her commitment to bridging the gap between complex imaging data and accessible, standardized formats for observational research.