AI Medical Scribes: How to Choose and Integrate One

AI medical scribes listen to a clinical visit and draft the note, so clinicians spend less time typing and more time with patients. The market has grown quickly, and "best scribe" lists go out of date within months. A better approach is to know what to look for and how the tool will fit into your EHR, privacy program and clinical workflow. This guide covers features, EHR integration options, consent and privacy, accuracy checks and the questions to ask any vendor.

How AI medical scribes work

1. Capture: the app records the conversation on a phone, tablet or computer, with the patient's agreement.

2. Transcription: speech recognition converts audio to text and separates speakers.

3. Note generation: a language model turns the transcript into a structured note, such as a SOAP note, in the clinician's preferred format.

4. Review: the clinician edits and signs the draft.

5. Write-back: the signed note, and sometimes orders or codes, move into the EHR.

The clinician remains responsible for the final note. Our article on the ambient AI medical scribe explains the technology in more depth.

Features to compare

Feature	Why it matters
Specialty templates	Notes need to match how each specialty documents
Multi-speaker and multilingual capture	Visits often include family members, interpreters or more than one clinician
Source linking	Linking note sections to the transcript makes review faster and safer
Customization	Clinicians want control over style, length and section order
Orders, codes and patient instructions	Some tools draft more than the note, which adds value and review burden
Device and setting support	Clinic, inpatient, telehealth and mobile use may need different setups

EHR integration options

How the note reaches the EHR has a big effect on adoption.

Option	How it works	Trade-off
Copy and paste	Clinician copies the draft into the EHR	Quick to start, but adds clicks and risk of pasting into the wrong chart
Embedded in the EHR	The scribe runs inside the EHR through a vendor program or SMART on FHIR launch	Best workflow fit, but depends on EHR vendor support
API write-back	The note is written to the record through FHIR or vendor APIs	Less manual work; needs integration and testing with your EHR team

Our article on SMART on FHIR explains the launch model many embedded tools use.

Consent and privacy

• Patient consent: tell patients the visit is being recorded and why, and let them decline. State laws on recording conversations differ, and some require every party's consent, so agree a consent process with your legal team.

• Business associate agreement: the scribe vendor handles PHI, so it must sign a BAA, and its own subprocessors, including any LLM provider, must be covered (HHS sample BAA provisions).

• Data retention: ask how long audio and transcripts are kept, where they are stored and whether they are used to train models.

• Security: ask for encryption details and an independent security assessment.

Our guide to HIPAA-compliant AI covers these requirements for LLM-based tools.

Checking accuracy

Scribes can omit details, attribute statements to the wrong speaker or add content that was never said. Before rolling out:

1. Run a pilot with clinicians from each target specialty.

2. Review a sample of notes against the recordings for omissions, errors and invented content.

3. Track edit time and how much clinicians change each draft.

4. Ask clinicians whether the notes are complete enough to rely on.

5. Keep auditing a sample of notes after go-live.

Known vendors

The table below lists some well-known ambient documentation vendors as a starting point. It is not a ranking or an endorsement; check each company's site for current features, integrations and pricing.

Vendor	Product
Microsoft	Dragon Copilot, which combines Dragon Medical One dictation with ambient capture
Abridge	Ambient clinical documentation
Suki	AI assistant for clinical documentation
Ambience Healthcare	Ambient documentation and coding support
Nabla	Ambient AI assistant for clinicians

Questions to ask any vendor

• Which EHRs do you integrate with, and how: embedded, API write-back or copy and paste?

• Will you sign a BAA, and which subprocessors handle our data?

• How long do you keep audio and transcripts, and do you train on our data?

• What accuracy evidence can you share, and will you support a pilot with our clinicians?

• How do you handle model updates, and how will we be told about changes?

Healthtech teams building scribe or documentation features into their own products can see our AI implementation support.

Conclusion

The right AI medical scribe is the one that fits your EHR workflow, meets your privacy and consent requirements and produces notes your clinicians trust after a real pilot. Compare features, integration depth, BAA coverage and accuracy evidence, then keep auditing notes after launch.

If you are planning to adopt or build an AI scribe, book a consultation with Ekipa's HealthTech engineers.

Frequently asked questions

What is an AI medical scribe?

Software that records a clinical visit, transcribes it and drafts a structured note for the clinician to review and sign.

Are AI medical scribes HIPAA compliant?

They can be, if the vendor signs a BAA, covers its subprocessors, secures the data and follows agreed retention rules. Compliance depends on the vendor and how you configure the tool.

Do patients need to consent to an AI scribe?

Patients should be told about the recording and allowed to decline. Recording laws vary by state and some require every party's consent, so set a consent process with your legal team.

How do AI scribes integrate with the EHR?

Through copy and paste, an embedded app inside the EHR (often via SMART on FHIR or a vendor program), or API write-back of the signed note.

How accurate are AI medical scribes?

Accuracy varies by vendor, specialty and setting. Pilot with your own clinicians, review notes against recordings and keep auditing a sample after go-live.