University Medical Center Enhances Patient Experience with AI-Powered Assistant from SoundHound

SoundHound AI has announced that MUSC Health has deployed its AI agent to increase patient access, powered by its Amelia Patient Engagement solution. Emily, which is a product of Amelia's integration with the Epic electronic health records system, provides patients with a tailored, streamlined, and fast self-service experience.

“MUSC Health is committed to delivering best-in-class service to our patients. This includes all touch points in the care continuum. Thanks to Amelia’s integration with Epic, we are able to build and deploy a robust digital assistant that is already having a positive impact on patient access. Powered by the Amelia Patient Engagement solution, our digital assistant enables direct patient self-service, helping to reduce call volumes and wait times,” says Crystal Broj, Enterprise Chief Digital Transformation Officer at MUSC Health.

Emily is accessible 24/7 to assist patients who call MUSC Health's access center. Patients can contact Emily to manage their appointments and get answers to non-clinical inquiries.

“As a patient, moving through the care continuum can be worrying, with long wait times and confusing administrative processes only adding to the stress. MUSC Health is facing this challenge head on by deploying an AI agent to provide patients with immediate, personalized appointment management support. The team at MUSC Health is a trailblazer in AI for healthcare, and we are proud to partner with them on their digital transformation journey,” says Michael Anderson, Executive Vice President of Enterprise AI at SoundHound AI.

The Amelia Patient Engagement solution is now part of SoundHound AI's broader range of market solutions, providing healthcare providers with advanced AI agents that use cutting-edge conversational and generative AI technology. These agents offer stability, security, and scalability while being HIPAA compliant, and they work seamlessly across both voice and chat platforms to assist patients and automate self-service chores using natural language processing.