See how UMass Memorial Health embedded interpreter access into Epic to improve adoption, documentation, and operational confidence.

Interpreter services that aren’t embedded into clinical workflows often go underused. The result is slower care, inconsistent documentation, and significant investment in language services that fails to deliver measurable value—creating operational and compliance risk at scale.

In this case study, UMass Memorial Health:

  • Embedded interpreter access directly into Epic using SMART on FHIR
  • Enabled clinicians to connect with certified interpreters in under 15 seconds
  • Automated interpreter documentation directly in the EHR

Outcomes:

  • Higher utilization without increasing clinician burden
  • More consistent documentation and reporting
  • Greater confidence in language access performance