One flow from intake to insight.

Direct answer: The best AI scribe for a multi-location group works with every EHR across your sites, covers every role in the visit, gives head office one set of templates and reporting, and keeps patient data where your rules require. EveStella by KastHunt is built for this: one connected flow from intake to signed note, deployed in your own environment.

What to check, and how EveStella meets each

• Every EHR you run. Groups often run two or three systems after acquisitions. EveStella writes signed notes back through FHIR where the EHR allows, has been tested with Epic and OpenEMR, and uses a browser route or secure copy where no API exists.
• Every role, not just the doctor. Most scribes document only the consultation. EveStella also covers patient intake, front desk, nursing — including triage, SBAR and medication reconciliation — and admin reporting.
• One standard across sites. Head office sets templates, consent wording and retention rules once; each site keeps its local variations. Admin dashboards show time to sign-off, edit rate and completeness by site and clinician.
• Data where it must stay. EveStella runs on your servers or your own AWS or Azure account, so audio and notes never leave your boundary.
• A licence that scales. One organisation-wide, volume-based licence instead of per-clinician fees, which matters as you add sites.

For a full comparison of 30 platforms, see the AI Scribe Buyer’s Guide 2026.

Direct answer: Most AI scribes run only in the vendor’s cloud, so patient audio leaves your organisation. EveStella is one of the few that can be deployed on your own servers or in your own AWS or Azure account, so audio, transcripts and notes stay inside your security boundary and under your policies.

Why it matters

• Data residency rules. Some regions and buyers require health data to stay in-country or in-house — for example Victoria’s public health services in Australia, UAE health data law, and many NHS and Canadian provincial buyers.
• Security reviews are simpler when no patient data goes to a third party.
• You control retention, access and audit with your existing tools.

How EveStella runs in your environment

• We match the speech and language models to your infrastructure — cloud or local options — based on accuracy, speed, cost and where data must stay.
• If a model or service fails, audio is queued securely or routed to an approved backup, so clinics keep working.
• PHI masking, de-identification, access logs and decision logs are built in.
• During the Founding Partner beta, KastHunt can host EveStella for you in your region’s AWS before moving it into your environment.

Direct answer: Most AI scribes are built for the doctor’s consultation note. EveStella supports five roles in one connected flow — patient intake, front desk, nurses, doctors and specialists, and admin teams — so information captured at check-in or triage is reused in the consultation note instead of being typed again.

What each role gets

• Patient intake: dynamic pre-visit questions that change with each answer; reason for visit, medications and allergies captured once.
• Front desk: check-in summaries, call and message notes linked to the right patient, and a referral intake log that shows what is missing.
• Nurses: triage notes, vitals, admission assessments, medication reconciliation lists and SBAR handovers.
• Doctors and specialists: SOAP notes in their own voice, referral and consult letters, patient summaries, follow-up tasks, and suggested codes for review.
• Admin: notes completed and time to sign-off by clinician and site, edit rate, documentation completeness, no-shows and referral loop closure.

Why it matters: the work before and after the consultation — intake, triage, handovers and referrals — is often where documentation time and errors build up. Covering the whole visit saves time for the whole team, not one role.

Direct answer: AI scribes connect to EHRs at four levels: built into the EHR, embedded through the EHR’s APIs, sending a structured note into the record, or copy-and-paste through a browser. EveStella uses FHIR to write signed notes back where the EHR allows — tested with Epic and OpenEMR — and falls back to a browser route or secure copy elsewhere.

The four integration levels

How EveStella integrates

• FHIR-based write-back of signed notes where the EHR allows.
• One EHR integration across your organisation is included in the licence; others are added during customisation.
• A browser extension is in development for EHRs without open APIs; secure copy works today.
• If the EHR is down, signed notes are held securely and filed when it returns.

Ask any vendor: for each of our EHRs, which level do we get, and what data writes back?

Direct answer: AI scribes save time, but none are error-free. Ontario’s provincial assessment found incorrect medical information in all 20 products tested, and a 2025 study found errors in most AI-drafted notes — mostly omissions. Safe use needs source-linked notes, clear flags and clinician sign-off. EveStella is built around all three, and it does not diagnose.

The most common errors

• Omissions: something important was said but left out.
• Hallucinations: something appears that was never said.
• Wrong attribution: the patient’s words recorded as the clinician’s, or the reverse.
• Numbers and sides: wrong dose, unit, vital sign or left/right.

How EveStella reduces the risk

• Every sentence links to its source in the conversation, so checking takes seconds.
• Low-confidence parts and suggested codes are highlighted for review.
• Critical facts — units, laterality and medication names — are checked by rules as well as AI.
• Nothing reaches the record until a clinician signs; every edit and approval is logged.

What your organisation should do: audit a sample of notes every month, train clinicians to review before signing, and tell patients how the tool is used.