How do patients feel about talking to AI agents in healthcare?

Patient satisfaction with AI agents in healthcare is closely tied to three factors: how natural the conversation feels, how accurately the AI resolves the query, and how clearly patients know they can reach a human if needed.

Research consistently shows that patients care most about speed, accuracy, and not being kept on hold, and that AI agents excel on all three dimensions for routine queries.

The majority of patient dissatisfaction with AI in healthcare stems from poor implementations that fail to understand natural speech, not from AI itself.

A well-configured AI agent with a clear escalation path and a natural voice consistently achieves patient satisfaction scores comparable to human agents for routine calls.

For example, a private dental group monitors patient satisfaction across calls handled by Televanta versus calls handled by human receptionists.

For routine booking, rescheduling, and FAQ calls, Televanta achieves a satisfaction score within three points of the human team average.

For complex or emotional calls routed to a human, satisfaction scores are highest because the AI handles the routine volume and the human team has more time and energy for the conversations that need them.

A GP surgery adds a brief post-call SMS survey to all Televanta-handled calls.

In the first 60 days, 78 percent of patients rate their experience as "very satisfied" or "satisfied." The most common positive comment references speed, patients appreciate being answered immediately rather than waiting on hold.

The surgery shares the data with its patient participation group and receives approval to expand Televanta's scope to additional call types.