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AI agents automate post-visit and post-procedure follow-ups—checking in on recovery, medication adherence, and symptom progression—without consuming clinical staff time. Practices improve patient outcomes while reducing readmissions by 20-30%.
Clinical staff can't follow up with every patient after every visit. High-risk patients fall through the cracks, medication adherence drops without reminders, and post-surgical complications are caught late because patients don't proactively report symptoms.
The AI agent sends personalized follow-up messages via text, email, or patient portal at scheduled intervals after visits and procedures. It asks symptom-specific questions, checks medication adherence, and escalates concerning responses to clinical staff immediately. Low-risk check-ins are handled entirely by the agent; flagged responses go to a nurse or provider with full context.
Define follow-up schedules by visit type and procedure. Set the questions, symptom checks, and escalation criteria for each protocol. Ensure all communication complies with HIPAA.
Connect to the electronic health record system so the agent can access visit history, current medications, and patient communication preferences. Follow-ups trigger automatically after qualifying encounters.
Track response rates, escalation rates, and patient-reported outcomes. The agent generates monthly reports comparing outcomes for followed-up patients versus the baseline, helping the practice quantify impact.
Luma Health, Klara, Relatient. See the full list on the AI Healthcare Agent pillar page.