Poseidon and Vulcan: The Gods of Continuous Data Ingestion
Healthcare data does not arrive in neat packages. It streams — continuously, chaotically, from dozens of transactional systems that were never designed to talk to each other. EHR encounters appear as HL7 ADT messages. Lab results materialize through OBX segments hours after the draw. Radiology reports surface from PACS archives with inconsistent coding. Claims trickle in from clearinghouses days or weeks after the visit. Genomic panels arrive as VCF files from external laboratories with their own nomenclatures and timelines.
Transforming this unruly sea of clinical data into a coherent, research-ready OMOP Common Data Model is the central engineering challenge of any outcomes research platform. And until now, Parthenon handled it the same way most platforms do: as a series of one-time bulk loads. Upload a file. Map the concepts. Write the CDM. Move on.
That era is over.
Today we introduce two new engines to the Parthenon pantheon — Vulcan and Poseidon — purpose-built for the reality of continuous healthcare data integration.