Patient-Centered Health Platform

Enabling compassionate care with context-aware generative AI assistants

The Challenge

A digital health platform aimed to provide warm, human-like support to its users—but instead, patients were met with scripted responses, long wait times, and frustrating support loops. The call center was overloaded, and users often dropped off before their concerns were addressed.

Our Approach

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.

Stats

40% decrease in call center load through virtual assistant adoption

25% increase in patient satisfaction (CSAT) within 90 days of deployment

10-second average first response time—down from 3+ minutes

The Outcome

By speaking with empathy and understanding, the assistant became a trusted extension of
the care team—helping patients feel heard, supported, and respected.

Our Expertise

Case Study

All Posts
AI Agents
AI Chat Bot
AI Kickstater
Computer Vision
Data Engineering
Gen AI
Machine Learning