How Can AI Agent Help Healthcare Clinic and Medical Practices?

AI agents are becoming increasingly useful in healthcare—not necessarily by replacing healthcare professionals, but by **handling repetitive administrative work and helping practices respond to patients more efficiently.** For a growing clinic, the challenge is often not the number of patients alone. It's the amount of work that happens *around* each patient. Think about scheduling, reminders, phone calls, follow-ups, forms, payments, and patient questions. AI agents can help automate many of these workflows. **1. Handle routine patient inquiries** AI agents can respond to common questions such as: * What are your office hours? * How can I schedule an appointment? * What documents should I bring? * Where is the practice located? * How can I contact the office? This can reduce the number of routine questions that staff need to answer manually. Of course, questions involving diagnosis, treatment, emergencies, or other clinical decisions should be appropriately routed to qualified healthcare professionals. **2. Help patients schedule appointments** Scheduling is one of the most repetitive administrative tasks in many practices. An AI-powered workflow can help patients find available appointment times, book appointments, and receive confirmations. A typical workflow could look like: **Patient request → Availability check → Appointment booking → Confirmation → Reminder** This can make scheduling more convenient while reducing routine workload for front-desk teams. **3. Automate appointment reminders** AI agents can help identify upcoming appointments and trigger appropriate reminders through SMS, email, or other communication channels. Patients can also potentially respond to reminders rather than simply receiving one-way notifications. This creates a more interactive patient communication experience. **4. Manage follow-ups** Healthcare practices often need to follow up with patients after...

In Practice: Research on AI’s Role in the Future of Ambulatory Care with Vlad Kozynchenko

Healthcare NOW Radio What makes this conversation so timely is makes this conversation so timely is makes this conversation so timely is that AI in healthcare is no longer just that AI in healthcare is no longer just that AI in healthcare is no longer just a future-facing idea. It's becoming part a future-facing idea. It's becoming part a future-facing idea. It's becoming part of everyday workflows. Clinical of everyday workflows. Clinical of everyday workflows. Clinical documentation, revenue cycle, patient documentation, revenue cycle, patient documentation, revenue cycle, patient engagement, analytics, and operational engagement, analytics, and operational engagement, analytics, and operational decision-making.

Lukas Saari, Co-Founder & CEO of Tandem Health: BREAKING: Tandem Health raised $100M Series B