Doctors lose 15 minutes per patient on intake.
Most US clinics use paper intake forms or static PDFs. Patients fill them in the waiting room, the receptionist scans them, the doctor reads them — twice. By the time the patient is on the exam table, 15 minutes are gone.
The client wanted an adaptive AI intake — questions branch based on prior answers, output is structured into the EHR, and patients can do it on their phone from home.
Custom RAG on the practice's own clinical guidelines.
We indexed the practice's internal protocols + ICD-10 coding rules with pgvector. A Claude-based agent walks patients through adaptive screening, knows when to escalate to a human, and outputs structured SOAP-format notes.
End-to-end build in 5 weeks. HIPAA-compliant infrastructure on AWS. NDA covers details — but the architecture pattern is available as custom build for similar use cases.