Building Medical Voice Agents: Empathy and Natural Interruptions
wisedogsfbay · reddit · 2026-07-20
A developer shared their experience building voice agents for healthcare scenarios (like front desk and patient support) using RetellAI. Despite the product supporting HIPAA compliance and pay-as-you-go pricing, two major technical bottlenecks were encountered in practice:
- Lack of empathy: The agent comes across as rigid and procedural during emotionally charged calls (e.g., patients in pain or anxious families). Prompting the agent with soothing scripts was attempted, but these are frequently skipped or feel forced.
- Poor interruption handling: It struggles to naturally manage user barge-ins, mid-sentence corrections, or overlapping questions, often causing the agent to freeze or talk over the user.
The author ruled out complex business logic as the root cause and asked the community for help: which LLM and TTS combination can better add warmth to the voice, and how to configure parameters like turn-taking and interruption sensitivity.
More from coding & agent
- A roundup of AI agents and MCP resources, including how to evaluate agents — _jaydeepkarale · 2026-07-21
- A full course shows how to build and deploy an AI agent with OpenAI and LangChain — _jaydeepkarale · 2026-07-21
- A beginner guide to AI agents points readers to a Stanford webinar — _jaydeepkarale · 2026-07-21
- A practical guide on how to evaluate AI agents — _jaydeepkarale · 2026-07-21
- MCP is headed toward easier scale, event-driven extensions, and workable file uploads — EricBuess · 2026-07-21
- Developers debate the missing composition model for AI agents — threepointone · 2026-07-21