Choosing an AI Medical Scribe: What Healthcare Practices Should Look For

AI medical scribes have moved from novelty to essential infrastructure for many healthcare practices in the past two years. The technology genuinely works — clinicians regularly report saving 1-3 hours per day on documentation. But not all scribes are created equal, and the wrong choice can mean compliance risk, workflow disruption, or wasted budget.

Here's what to evaluate before committing to any AI medical scribe.

HIPAA compliance is non-negotiable

If a vendor can't sign a Business Associate Agreement (BAA), they cannot legally process Protected Health Information (PHI). Some "AI scribes" sold on social media are simply ChatGPT wrappers with no compliance infrastructure. Always ask:

• Does the vendor offer a BAA?
• Where is patient audio stored, and for how long?
• Is the data used to train future models?
• What encryption standards are in use, both in transit and at rest?

A vendor that can't answer these questions clearly should be disqualified immediately.

EHR integration matters more than note quality

The best note in the world is useless if it requires manual copy-paste into your EHR. Look for native integrations with whichever EHR your practice uses — Epic, Athena, eClinicalWorks, Cerner, or otherwise. Vendors that claim to "work with any EHR" usually mean "we generate text you can paste anywhere."

Even better: ask about FHIR support, structured data import, and whether the integration writes to specific note sections (HPI, ROS, A&P) or just dumps a single block of text.

Specialty matters

A scribe trained on internal medicine will struggle with dental terminology. A general-purpose scribe will miss the nuance of psychotherapy notes. The vendors that take their work seriously offer specialty-specific templates, training data, and even custom output formats (SOAP, DAP, BIRP, GIRP, etc.).

If you practice in a niche specialty, prioritize tools that explicitly support it — or be prepared to invest significant time customizing templates.

Pricing models vary widely

Most AI scribes price per clinician per month. The range is wide:

• Free or freemium tiers (often with session limits)
• $39–99/month for solo practitioners
• $99–200/month for established tools targeting groups
• Custom enterprise pricing for health systems

Watch out for per-encounter pricing, which can be unpredictable and expensive in high-volume practices. Also note: free tiers are great for testing but often impose limits that make them impractical for daily use.

What to do next

Don't try to evaluate every option. Pick 2-3 tools that match your specialty, test each for at least a week with real encounters, and compare the actual time savings and note quality. The "right" answer depends entirely on your workflow — and most decisions become obvious within the first few sessions of real use.

If you're a solo practitioner just starting to evaluate AI scribes, browse our directory of tools filtered by your specialty. If you want to see how specific tools compare for your situation, check our comparison pages.