Data visualization generates a visual representation of data that enables data exploration and data analytics to gain new information or insights as well as explains such insights to the intended audience. In the healthcare settings, there are over 50 visualization tools published in peer-reviewed journals, as reviewed in existing papers. 1, 2 One main obstacle of adopting these tools in new environments or institutions is the vast differences in data source models. The standardization of data models, such as OMOP CDM and HL7 FHIR, considerably eases the adoption of visualization and analytics tools. Thissurvey aims to characterize OMOP CDM-compatible visualization tools and identify opportunities for new visualization tools with OMOP CDM support.