AI-driven clinical decision support for precision cancer care
VieCure builds a clinical intelligence platform that combines AI reasoning with oncology expertise to guide treatment planning. The tech stack is deeply integrated with healthcare infrastructure—HL7, FHIR, Mirth Connect for EHR interoperability, plus Azure cloud services for compliance and scale. Active hiring is engineering-heavy (7 of 13 open roles), focused on platform deployment and AI/knowledge system development, while pain points center on launch velocity and cross-EHR data integration—typical friction for a platform scaling into community cancer centers.
VieCure provides clinical decision support software designed to simplify treatment planning in precision oncology. The platform integrates with hospital EHR systems and consolidates patient data, treatment guidelines, and AI-powered insights to assist clinicians in selecting appropriate therapies. Founded in 2015 and headquartered in Colorado, the company operates at 51–200 employees and is actively expanding deployment across community cancer care centers. Current priorities include platform activation at new clinical sites, system integration work, and ensuring stability and data accuracy as adoption scales.
VieCure's platform runs on Azure (App Service, SQL, Storage, Service Bus), SQL Server, with healthcare standards HL7 and FHIR for EHR integration. Backend is C#/.NET; frontend uses Angular and TypeScript. Testing via TestRail and Zephyr; support via Zendesk.
Primary focus is activating the platform at community cancer centers, new client launches, and go-live support. Engineering priorities include AI knowledge base and clinical decision support testing, EHR data integration, design system evolution, and scaling infrastructure for rapid expansion.
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