How a Chiropractic Practice Turned 2-Week PI Reports Into 5-Minute Turnarounds
A multi-location chiropractic practice that handles a high volume of personal injury cases. Their referring attorneys needed discharge reports fast — but the practice was producing 400+ reports a month and couldn't keep up.
The Problem
The practice works closely with personal injury attorneys. After treating a patient, they need to produce a detailed discharge report that the attorney uses for the claim — treatment history, diagnoses, progress, recommendations. These reports have to be accurate, professionally written, and properly formatted. At 400+ reports a month, each costing roughly $25 to produce and taking days to turn around, the backlog was constant. Attorneys were waiting 2–3 weeks for reports they needed yesterday. That delay slowed down claims, frustrated the attorneys, and put referral relationships at risk. The more cases they took on, the worse the bottleneck got.
Our Approach
Connecting to Their Patient Records
The practice uses EMR systems across their locations. We built secure integrations that pull patient data — treatment notes, diagnoses by body region, procedures, vitals, visit history — directly from their existing systems. No double-entry, no exporting CSVs. The AI gets the same information the doctor sees, structured and ready to work with.
Generating Reports That Attorneys Actually Want to Read
The AI doesn't produce generic templates. It writes narrative discharge reports — the kind PI attorneys need for claims. Patient presentation, treatment administered, how the patient responded, discharge recommendations. Proper medical terminology, organized by anatomical region, with a professional tone. The output matches what a doctor would write, formatted exactly how attorneys and insurance companies expect it.
Review, Approve, Send — In Minutes, Not Weeks
Every report goes through the doctor before it's finalized. They review it, make any edits, and approve. The system remembers those edits — so next time, the output is even closer to how that specific doctor writes. A report that used to take days to produce and weeks to deliver is now reviewed and out the door in 5 minutes.
Results & Impact
Report turnaround went from 2–3 weeks to 5 minutes. At 400+ reports a month and roughly $25 per report in production costs, the savings add up to approximately $75,000 annually. But the bigger win is the attorney relationships. When referring attorneys get same-day reports instead of waiting weeks, they send more cases. Referral volume has increased directly because of faster turnaround — and the reports are more consistent and professional than what was being produced manually.
Technical Highlights
Technology Stack
Azure OpenAI (Private Cloud)
AI runs on a private HIPAA-compliant deployment — same capability as GPT-4, but no patient data ever touches shared infrastructure. Non-negotiable for medical documentation.
Medical Data Processing
Custom pipeline that takes raw EMR data — treatment notes, diagnoses, procedures, timelines — and structures it into the sections the AI needs to write a coherent summary.
Secure Backend
Handles encrypted data transfer between the practice's EMR systems and the AI, with audit logging for HIPAA compliance.
Doctor-Facing Interface
Simple review screen where doctors read the generated summary, make edits if needed, and approve with one click. Designed to take less than a minute.
