We created a context-aware virtual assistant that could engage patients in natural,
empathetic conversation. Powered by large language models, the assistant could
understand medical terminology, ask clarifying questions, and respond with care and clarity.
Key features included:
● Multi-turn dialogue support for natural back-and-forth communication
● Personalization based on patient history and intent recognition
● Escalation triggers to route critical issues to human agents when needed
● Tone and empathy controls to ensure emotionally intelligent responses
● HIPAA-aligned architecture and anonymization safeguards
The assistant was deployed across web and mobile, seamlessly integrated into the platform’s care journey.