Pre-visit intelligence. Automated encounter notes. Coding optimization. One AI agent handles the documentation burden so your physicians can go home when the last patient leaves.
Every physician in your practice carries the same invisible burden. The numbers add up fast.
Every day, physicians stay late to finish documentation. That's 500+ hours per year per physician lost to after-hours work.
Medical assistants spend most of the visit on data entry instead of clinical support. The bottleneck isn't physician time. It's workflow.
Documentation burden is the #1 driver of physician dissatisfaction. Burnout leads to turnover. Turnover is expensive.
Before you walk into the room, the agent has already reviewed the full patient history.
Complete SOAP notes generated from the encounter. Your physicians look at patients, not keyboards.
Documentation naturally supports appropriate E&M billing levels. No more undercoding out of audit fear.
Based on actual 2-week coding data from a practicing cardiac surgeon. 176 office visits analyzed.
Data from a surgical cardiologist seeing half the volume of a general cardiologist. ROI for higher-volume practices is stronger.
We deployed AI on our own operations first. Every methodology is validated internally before we bring it to your practice. No theories. No experiments on your patients.
EHR integration, coding optimization rules, practice-specific configuration. Minimal physician time required.
Weeks 1–2Deploy with 1–2 physicians. Validate documentation quality and coding accuracy. First ROI data within 2 weeks.
Weeks 3–4Roll out across the practice. Monthly ROI reporting. Continuous optimization. Full deployment in under 6 weeks.
Weeks 5–6+Score your practice across four areas. Check each item that applies. Your total reveals how much documentation burden is costing you — and how much is recoverable.
| Score | Tier | What It Means | Next Step |
|---|---|---|---|
| 0–25 | Optimized | Workflows are largely efficient. Isolated gaps may exist in coding accuracy. | Conduct a coding audit to confirm revenue capture is fully optimized. |
| 26–50 | Moderate Gap | Identifiable inefficiencies in 1–2 areas. Revenue leakage present but not quantified. | Begin with a coding distribution analysis. MA intake time is a quick-win target. |
| 51–75 | Significant Gap | Documentation burden is actively constraining physician capacity and revenue capture. | Prioritize a practice assessment. Payback within 30 days is realistic at this level. |
| 76–100 | Critical Gap | Systemic constraint across all four areas. Physician satisfaction and retention at risk. | Book a practice assessment immediately. Cost of inaction exceeds deployment within Q1. |
Grounded in real data from a practicing cardiac surgeon — 176 visits over two weeks. Adjust the inputs to reflect your practice.
Data basis: Revenue gap uses $47/visit from real Medicare rate analysis on 176-visit cardiac surgery coding study. MA savings range ($11K–$22K/physician/year) based on 2–4 hours daily intake time reduction. These are conservative estimates. A formal coding audit will produce practice-specific figures.
Book a free practice assessment. We'll build a custom ROI model using your actual patient volume, coding distribution, and staff costs. No guesswork. Just math.