Insights
Engineering perspectives on data, interoperability and AI.
Practical thinking from the Proventus Analytics team on healthcare data engineering, Epic integration, HL7 and FHIR, data modernization and taking AI from pilot to production.
Healthcare data · AI
Why Healthcare AI Success Starts With Better Data Engineering
Before a model can earn clinical or operational trust, the data beneath it has to be engineered to deserve it. Why Epic integration, interoperability and cloud data engineering decide whether AI reaches production.
Read the article → Case studyEpic Data Modernization & Healthcare Interoperability
How a large healthcare organization moved Epic Clarity and Caboodle data, HL7 and FHIR feeds into a governed Azure Databricks lakehouse.
Read the case study →