Automate Clinical Operations in Your Private Practice

Many private practices use the workflow tools built into their EHR, like Kareo or Athenahealth. These systems are great for managing patient records but their automation is a series of rigid, if-this-then-that rules. They cannot intelligently parse a scanned referral fax or extract specific clinical details from an unstructured patient history PDF, forcing staff back into manual data entry.

Consider a 10-person orthopedic practice that receives 30 referral faxes per day. A staff member spends 7 minutes per fax manually typing the patient's name, DOB, insurance info, and referring physician into the EHR. This process consumes over 3.5 hours of staff time daily and is prone to data entry errors that can delay care or cause billing issues.

The core problem is architectural. EHR systems are databases with a user interface, not dynamic automation platforms designed for interoperability. They are built to store structured data, not interpret unstructured documents. They often lack the flexible APIs needed to trigger complex, multi-step processes that involve intelligent decision-making based on a document's content.

The first step is an audit of your current clinical operations. Syntora would map your exact patient intake and referral management process, from the moment a document arrives to when a patient is scheduled. This discovery phase produces a detailed technical specification for your approval before any code is written.

The system would be a series of event-driven functions on AWS Lambda. When a new fax or email arrives, a Python function would use the Claude API for data extraction, identifying patient name, insurance ID, and reason for referral with over 95% accuracy. A FastAPI endpoint would expose this data to a human-in-the-loop review interface for verification, with the entire process taking under 60 seconds per document.

The final system pushes validated data directly into your EHR via its API, creating a new patient record or updating an existing one. All actions are logged in a HIPAA-compliant Supabase database, creating a full audit trail. You receive the complete source code and a system capable of processing up to 500 documents per day with hosting costs typically under $50/month.