Build a Custom AI Scribe for Your Therapy Practice

Many therapists rely on the built-in note-taking features of their EHR, such as TherapyNotes or SimplePractice. These tools provide structured templates for billing and compliance, but they force clinicians into a rigid, box-checking workflow. This interrupts clinical thinking and makes documentation a dreaded chore that piles up at the end of the day, often consuming 1-2 hours of personal time.

To escape this, some therapists experiment with general-purpose transcription tools like Otter.ai. While these tools can generate a transcript, they are not HIPAA-compliant by default and present a significant security risk. More importantly, a raw transcript is not a clinical note. The therapist still faces the tedious task of reading through 5,000+ words of conversation to manually synthesize and structure it into a compliant SOAP or DAP note, defeating the purpose of saving time.

Consider a clinician who finishes a 50-minute couples therapy session. They have a 10-minute gap before their next client. They open their EHR, recall key interventions and client statements, and start typing. The process takes 20 minutes, pushing them behind schedule. After a full day of 6 clients, they face almost 2 hours of this draining work, which leads to burnout and less time for professional development or self-care.

The structural issue is that EHRs are optimized for billing, not clinical workflow, and generic transcription tools are built for business meetings, not healthcare. Neither is designed to bridge the gap between a nuanced human conversation and a structured, compliant medical record. A solution requires a purpose-built, HIPAA-compliant pipeline that understands the specific language and formats of clinical documentation.

The first step is a discovery audit of your clinical operations. Syntora would review your current note-taking process, the specific note formats you require (SOAP, DAP), and your EHR system. We would establish a secure method for sharing a small number of de-identified session recordings (10-15 files) to serve as a baseline for the AI model's output. You receive a clear scope document outlining the technical architecture and a fixed timeline.

Syntora would build the system using HIPAA-eligible AWS services. A FastAPI application would provide a simple, secure portal for you to upload session audio. The upload triggers an AWS Lambda function that sends the file to AWS Transcribe Medical for accurate transcription. That transcript is then passed to the Claude API with a carefully engineered prompt to generate a perfectly formatted note. All data is encrypted in transit and at rest, and a full audit trail is logged in Supabase.

We've built secure document processing pipelines using the Claude API for financial services, and the same architectural pattern applies to clinical notes. The delivered system is a simple web application that presents the generated note side-by-side with the transcript for your review. After a quick edit, you can copy the note into your EHR in seconds. The entire process for a 50-minute session typically completes in less than 90 seconds.