How to Choose an AI Medical Scribe

AI medical scribes have moved quickly from pilot projects to everyday tools. Many promise to cut documentation time and give clinicians more attention for patients. But the tools differ widely in how they capture conversations, how accurate their notes are, where patient data goes, and what they really cost. Marketing claims don't always reflect what happens in a busy clinic.

So in this guide, we'll give you a practical, vendor-neutral framework for comparing AI medical scribes.

An AI medical scribe turns a clinical encounter into a draft note for the clinician to review. There are two main approaches:

• Ambient listening. The scribe runs in the background during the visit, with the patient's consent, then transcribes the conversation and drafts a note.
• Dictation. The clinician speaks or uploads a summary after the visit, and the AI turns it into a structured note.

Many tools offer both. Either way, the American Psychological Association (APA) and other professional bodies are clear that the clinician must review and edit the draft before it becomes part of the record, and remains responsible for its accuracy.

Accuracy is the most important factor, and the hardest to judge from a demo.

Independent studies of commercial AI scribes have found that none produced error-free notes. Omissions, meaning details that were discussed but left out, are the most common error.

Modern ambient scribes report overall error rates of roughly 1–3%, compared with 7–11% for older speech-recognition dictation. But they introduce new failure modes:

• Hallucinations: documenting an exam that never happened
• Misattribution: assigning words to the wrong speaker
• Missing context: losing important detail in summarization

Accuracy can drop with specialized terminology, accents, background noise, and conversations with several speakers.

What should you check?

• Does the tool handle your specialty's terminology?
• How does it perform with accents, interpreters, and multi-speaker visits?
• Does it keep patient-reported information separate from clinical findings?
• How easy is it to spot and correct errors?
• Can the vendor show accuracy data broken down by specialty and language, not just one overall number?

Also read: AI Scribe vs. ChatGPT for Clinical Notes

AI scribes handle protected health information (PHI), and some record entire conversations. Read the vendor's terms of service, privacy policy, and Business Associate Agreement (BAA) yourself. Don't rely on marketing claims alone.

What should you check?

• A signed BAA. For HIPAA-regulated workflows, the APA says a signed BAA with the vendor is required. Confirm it covers the plan you're actually buying.
• Encryption. The APA recommends encryption in transit and at rest using a recognized standard, such as AES-128 at minimum.
• Security beyond the minimum. Look for multifactor authentication, a voluntary certification such as SOC 2 or HITRUST, and independent penetration testing.
• Data minimization. Is audio stored, even temporarily? Where, and for how long? Can you control or delete transcripts?
• Model training. Is your session data used to train the vendor's AI? Is that opt-in or opt-out? Does the vendor's own AI provider have a BAA that prohibits training on your data?
• Secondary use. Does the vendor reserve the right to sell de-identified data or use it for marketing?

Also read: Are AI Medical Scribes HIPAA Compliant?

Documentation needs vary by specialty and setting.

What should you check?

• Does it support the formats you use, such as SOAP, DAP, BIRP, progress notes, or intake reports?
• Can you customize templates and section headings?
• Does it organize information into the right sections?
• Can clinicians edit the note easily before finalizing it?

Also read: How AI Can Help Write SOAP Notes

AI scribes connect to the EHR in different ways, and the APA describes three main types:

How a tool fits matters. In a 2026 JAMIA Open study of 163 primary care providers, an EHR-integrated ambient tool outperformed a tablet-based, human-assisted tool that required copy-and-paste. The integrated tool was associated with less after-hours work, less manual note-writing, and more visits closed within 48 hours.

What should you check?

• How exactly will notes get into your EHR?
• Does it work on the devices your clinicians already use?
• Does it support in-person and telehealth visits?
• What extra steps does it add to each encounter?

A tool that clinicians avoid won't deliver any benefit.

What should you check?

• Is the interface intuitive, and how much training is needed?
• Can clinicians start, pause, and stop it without disrupting the visit?
• How will patients know it's in use?
• What support is available, and how quickly?

Large rollouts have found that benefits concentrate among frequent users. In the largest study to date, clinicians who used AI scribes in at least half their visits saw the biggest time savings. Plan for training, peer champions, and ongoing support, not just a launch.

Subscription price is only part of the cost.

What should you check?

• What's included in each plan, and are there usage or user limits?
• Are there fees for implementation, EHR integration, or BAA access?
• Is there a free trial or month-to-month option?
• What's the total cost of ownership, including training, IT support, and clinician time spent editing notes?

Also read: Manual Clinical Documentation vs. AI-Assisted Documentation

Performance is not the same across specialties, languages, or settings.

What should you check?

• Has the tool been used and evaluated in your specialty?
• Does it support the languages your patients speak, and does it handle interpreters?
• How does it perform in noisy settings or visits with several people present, such as family or group visits?
• Does the vendor monitor accuracy across different patient groups?

Equity matters here. Research on the speech-recognition technology behind AI scribes has found lower accuracy for Black patients than for White patients. Ask vendors how they test for and address these gaps.

Demos use ideal conditions. Your clinic doesn't.

What should you do?

• Start small. Pilot with a few clinicians, ideally including skeptics as well as enthusiasts.
• Test real encounters. Include complex, multi-problem, and multi-speaker visits.
• Measure before and after. Track documentation time, editing time, after-hours charting, note quality, and clinician satisfaction.
• Confirm compliance first. Have the BAA signed and security reviewed before using real patient data.
• Get patient consent. Some states, such as Illinois, require specific written consent before an AI tool records a clinical visit.

1. Is your tool ambient, dictation-based, or both?
2. Will you sign a BAA for the plan we're buying?
3. How is patient data collected, stored, retained, and deleted? Is audio stored?
4. Is our data used to train your AI or any third party's? Is that opt-in or opt-out?
5. Which large language model do you use, and do you have a BAA with that provider?
6. What security certifications and penetration testing can you show us?
7. What accuracy data can you share for our specialty and languages?
8. How do notes reach our EHR?
9. Which note formats are supported, and can we customize them?
10. What's included in the price, and what costs extra?
11. Can we run a trial on our own encounters?
12. What happens to our data if we leave?

• Choosing on price alone. The cheapest tool may cost more in editing time.
• Trusting demos. Test on your own encounters.
• Assuming notes are accurate. Every note needs clinician review.
• Skipping the fine print. Overlooking data retention, model training, and exit terms.
• Ignoring EHR fit. Copy-and-paste steps add up.
• Expecting AI to remove reviews. It shifts work from writing to editing.

HosTalky AI Scribe is a voice-powered documentation assistant that turns spoken notes into structured SOAP-style or custom notes for clinicians to review and edit. It's available on iOS, Android, and desktop, and individual clinicians can start on a free plan.

Use the same checklist in this guide to evaluate it. Ask HosTalky about its BAA, data handling, and how notes reach your EHR, just as you would any vendor.

Chart Less. Care More.

Put HosTalky AI Scribe through the checklist.

Try it on your own documentation workflow with the free plan, and see whether it fits how you work.

Explore HosTalky AI Scribe

Also read: When Does an AI Scribe Become a Medical Device?

Disclaimer: This guide is for informational purposes and doesn't constitute legal or compliance advice. Consult your compliance team, legal counsel, and liability carrier before adopting an AI documentation tool.