Automate Patient Intake and Appointment Scheduling with AI

Small clinics often start with tools like Jotform for digital forms or rely on their EHR's built-in portal from providers like Practice Fusion or Kareo. These tools create a new set of problems. A staff member still has to manually copy every field from a Jotform submission into the EHR, which is a primary source of data entry errors.

EHR patient portals often have clunky interfaces, leading to low adoption. Patients forget passwords or get frustrated, so they email or fax a paper form instead. This forces your staff right back into the manual data entry loop the portal was meant to prevent. For example, a 5-provider clinic seeing 20 new patients a day can lose over 3 hours of staff time daily to transcribing forms. An interruption during this process could lead to entering insurance information into the wrong chart, a mistake that is not caught until a claim is denied 30 days later.

The structural issue is that existing tools are either too generic or too rigid. Form builders are not healthcare-aware and cannot validate medical information or integrate with scheduling logic. EHR modules are closed systems that cannot process unstructured data, like a photo of an insurance card, or connect to the modern communication channels patients prefer.

The first step is a technical audit of your existing workflows and systems. Syntora would analyze your current intake forms and map the API capabilities of your EHR software. You would receive a technical plan outlining the data extraction models and integration points required for a fully HIPAA-compliant system.

The core of the system would be a Python service running on AWS Lambda. For intake forms, the Claude API would parse structured data from submitted PDFs or images. Pydantic models would then validate the extracted data, ensuring a date of birth is a valid date or an insurance ID matches the expected format. For scheduling, a FastAPI endpoint would check your EHR's calendar for open slots in real-time and offer them to patients via your website or an SMS bot.

The delivered system integrates directly into your existing process. When a patient submits a form, the extracted data appears in a review queue within 2 minutes for a staff member to approve. With one click, a new patient record is created in the EHR. The system would cost under $50 per month to host, and you would receive the full source code and all infrastructure access.