Intelligent virtual agents powered by natural language understanding that automate multi-step patient conversations with a 94% completion rate without staff intervention.
Artera Flows Agents are rules-based AI virtual agents that automate routine patient conversations across clinical and administrative use cases using Natural Language Understanding. The NLU engine analyzes unstructured patient responses by identifying intent and context, allowing patients to reply naturally rather than using rigid menu-based inputs. Flows can be deployed from a pre-built template library spanning acquisition, pre-visit preparation, post-visit follow-up, care management, care gap closure, financial experience, and referrals. The agents handle branching logic, send follow-up messages, update appointment statuses automatically, and route to staff only when needed.
Automated appointment confirmation and self-rescheduling
Patient intake form collection and bill payment reminders
Post-discharge care instruction delivery
Care gap closure campaigns at population scale
94% of patient conversations completed without staff intervention
250,000 staff hours saved annually
Appointment conversion rates increased to 77%
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