Trained language interpreters may not always be readily available, especially for rarer languages, but are a requirement for healthcare. Commonly, clinicians in various types of settings, including in ER and primary care practices, have to wait for live interpreters to treat non-English speaking patients because of these resource constraints. This risks negative impacts on treatment outcomes, frustrates clinicians, and causes health inequities for non-English speaking populations. The founders of Calliope-AI, a physician AI expert and AI engineer, and two experts who have implemented this innovation in the clinical setting will present the future of medical interpretation as a tool to ensure health equity.
Learning Objectives:
- Introduce the audience to a real time easy to use and highly accurate AI powered solution that is usable in all healthcare settings – ER, primary care, specialty care, inpatient and resource poor settings.
- Provide a demonstration on how this AI innovation can integrate seamlessly within any clinical workflow in any setting
- Demonstrate how an AI-powered language translation tool can reduce costs
- Discuss how this AI powered tool improves health equity by removing the variation in translation and the long waits for translation services experienced by many.
