AI Agents for Telehealth: Pre-Visit, In-Session, and Follow-Up

Telehealth visits account for a significant portion of primary care and behavioral health appointments. But the administrative work around each visit — intake forms, insurance verification, pre-visit questionnaires, post-visit summaries, and follow-up scheduling — still consumes staff time. AI agents handle the wrapper around the clinical encounter, letting providers focus entirely on patient care.

Pre-visit automation

Before the telehealth appointment, an AI agent calls the patient to collect or confirm: reason for visit, current medications, symptom updates since last visit, insurance information, and any questions for the provider. This information is structured and delivered to the provider before the session starts, replacing the first 5–10 minutes of every telehealth visit that's typically spent on administrative intake.

Post-visit follow-up

After the visit, the agent follows up: medication adherence checks ('Have you started the new prescription?'), care plan compliance ('Were you able to schedule the lab work?'), and symptom monitoring ('How are you feeling since we adjusted the dosage?'). These follow-ups improve outcomes, catch complications early, and generate data for the provider — all without consuming clinical staff time.

Chronic care management

For chronic conditions — diabetes, hypertension, COPD, behavioral health — regular check-in calls between visits improve adherence and outcomes. An AI agent conducts weekly or biweekly calls: collecting vital signs (if patient has home monitoring equipment), assessing symptom changes, reinforcing care plan activities, and flagging concerning changes for clinical review. This extends the care team's reach without extending their hours.