Automate Patient Scheduling and Reminders with Custom AI

Small clinics often start with tools like Calendly or the built-in scheduler in their Practice Management System (PMS), such as Practice Fusion or Kareo. These work for simple bookings but lack clinical context. Calendly cannot ask conditional intake questions like "Have you had a fever in the last 48 hours?" and route patients accordingly. A PMS scheduler often requires patients to log into a portal, adding friction that leads to abandoned bookings and phone calls.

Consider a 5-person dental clinic. A new patient emails asking for a cleaning and to check if their insurance is accepted. The front desk staff must first find the patient's insurance details, manually check them against a list of accepted providers, find an open slot in the dentist's schedule, and then reply to the patient with options. This back-and-forth takes 15-20 minutes. If the patient doesn't reply for a day, the proposed slots might be gone, restarting the cycle.

The structural problem is that these off-the-shelf tools are built for generic appointment booking, not patient-specific clinical workflows. Their data models are fixed, so you cannot add logic that checks insurance eligibility or triages based on symptoms before presenting calendar slots. They are not designed to be HIPAA-compliant for conversational AI; a chatbot that discusses symptoms over unencrypted channels creates a significant compliance risk.

The result is front desk staff spending hours on low-value scheduling tasks instead of focusing on in-person patient care. This manual work directly limits the number of new patients that can be onboarded each day and increases the chance of human error, like booking the wrong appointment type or miscommunicating insurance information.

The first step is an audit of your current patient intake process and EHR/PMS system. Syntora would map every step, from a patient's initial contact to their confirmed appointment. We would analyze your EHR's API documentation to determine the most secure and reliable integration path for reading calendar availability and writing new appointments. This audit produces a clear system architecture document for your review.

The system would use a FastAPI service hosted on AWS Lambda to provide a HIPAA-compliant endpoint. When a patient submits a request via a website form, a Claude API-powered model would parse the natural language to extract appointment type and preferred times. This service then queries your EHR for open slots, all within a 500ms response time. For reminders, the system connects to Twilio for SMS and AWS SES for email, logging every communication for a complete audit trail in a Supabase database.

You receive a secure, automated system that integrates directly with your website and EHR. Patients can book appointments 24/7 without staff intervention. The system handles confirmations, reminders, and cancellations automatically. You get full source code, a runbook for maintenance, and a dashboard showing booking volume. The entire infrastructure costs under $50/month to operate.