Case Study: Relatient reduces EHR maintenance by 65% with Bacancy Technology's unified FHIR R4 engine

Relatient cuts EHR integration maintenance by 65% with Bacancy Technology

Relatient, a US-based patient engagement SaaS platform, faced challenges with a fragmented EHR integration layer that slowed engineering velocity. They also lacked the internal bandwidth to meet enterprise demands for AI assistant access and needed to reduce high patient no-show rates. Bacancy Technology was engaged to address these issues.

Bacancy Technology rebuilt the integration layer into a single canonical FHIR R4 engine and deployed the company's first MCP server. They also implemented a Python-based no-show prediction model and an auto-intervention engine. As a result, Relatient achieved a 65% reduction in EHR integration maintenance overhead, a 4x increase in engineering velocity, and a 31% lower no-show rate, saving an estimated $1.2M annually on infrastructure costs.

Relatient