Your patient is a face in a video window. There is no one else in the room, no scribe in the corner catching the note. The second the call ends, the documentation is yours, and the next visit is already waiting.

Telehealth is not a temporary fix anymore. Virtual visits are a permanent part of how care gets delivered. But the paperwork did not shrink when the exam room disappeared. If anything, it got heavier. Physicians already spend about two hours on the EHR and desk work for every hour of direct patient care [2], plus roughly 86 minutes of after-hours charting each night [1]. Virtual care piles on new rules about consent, patient location, and how the visit is documented.

An AI scribe for telehealth fixes the part that hurts most: the note. This guide covers why virtual documentation is harder than in-person charting, what to look for in a tool, and the best AI scribes for telehealth, ranked. Sully.ai is first, and a national virtual menopause platform running 600+ providers on it shows why.

Key Takeaway:The best AI scribe for telehealth captures the visit directly from the video platform, writes a specialty-specific note, and syncs it to the EHR without the clinician ever leaving the call. Sully.ai leads because it is not a single scribe tool but an AI workforce: the AI Scribe documents the virtual visit while the AI Receptionist, AI Coder, and AI Triage Nurse handle scheduling, coding, and follow-up around it, all through one EHR integration. Midi Health, a national virtual menopause and midlife-care platform, runs 600+ providers on Sully.ai, proof the model works at telehealth scale. Freed and Nabla can handle note-taking for a solo virtual clinician, but they stop at the note and leave scheduling, coding, and follow-up on you.

Why Telehealth Documentation Is Harder Than In-Person Charting

Telehealth removed the exam room. It did not remove the charting. It added to it.

The burden was already brutal before video visits took off. That 2:1 ratio of screen time to patient time [2] and the 86 minutes of nightly "pajama time" [1] describe in-person medicine. Move the visit to a screen and three new problems show up.

No Room for an In-Person Scribe

In a clinic, some practices put a human scribe in the room to type while the doctor talks. On a video call, that person has nowhere to stand. The clinician is alone on screen. So the note falls back on them, or on a remote scribe who cannot see the patient or the room. That is the exact gap an AI scribe closes. It listens to the visit and writes the note without anyone else present.

Capturing Audio Across Video Platforms

Telehealth does not happen in one place. One visit is on Zoom, the next on Google Meet, another on Microsoft Teams or a video window built into the EHR. A telehealth scribe has to capture clean audio from whichever platform the visit runs on.

Here is the upside most people miss. Virtual audio is often cleaner than an exam room [8]. Each speaker has their own microphone channel and there is no clatter of a busy clinic in the background, which can actually make the note more accurate.

Compliance and Consent in Virtual Visits

Virtual care carries its own paperwork. HHS guidance asks clinicians to confirm the patient's identity, note who else is present, capture consent, record the patient's location for billing, and flag the encounter as telehealth with the right attestation [3][4]. Any scribe you use for virtual visits has to work inside a HIPAA-compliant workflow [4]. This is a hard requirement, not a nice extra.

What to Look for in a Telehealth AI Scribe

Before the rankings, here is the checklist. Score every tool against these four telehealth-specific needs, not generic scribe features.

Platform and Video Tool Compatibility

The scribe has to capture the visit from the video tools you actually use: Zoom, Meet, Teams, or a browser-based EHR video module. A tool that only works with someone in the room is useless for virtual care [8].

EHR Integration After the Visit

A note that lives outside the chart is wasted work. The scribe should write back into Epic, Cerner, Athenahealth, and the rest. This is where Sully's single-integration model stands out: you connect once instead of stitching together a new pipe for every system [10]. Midi documents straight into athenahealth this way.

Specialty-Specific Note Formats

Telehealth spans primary care, behavioral health, and women's health. The scribe should produce the right note type, a SOAP note, a therapy note, or a menopause visit note, instead of a raw transcript [8].

HIPAA-Compliant Virtual Workflows

Consent capture, identity confirmation, and secure data handling per HHS best practice are the floor [4]. If a tool cannot do these inside a compliant workflow, it does not belong in a clinical setting.

Best AI Scribes for Telehealth

Here are the strongest options for virtual care, ranked. Sully.ai leads because it does more than write the note. The rest are good scribes; most are only scribes.

1. Sully.ai

Best for: practices that want the visit documented and everything around it handled.

For a telehealth visit, Sully's AI Scribe captures the video call and writes a structured, HIPAA-compliant note straight to the EHR. On its own, that already makes it a strong telehealth scribe. What sets it apart is what happens next: the AI Scribe is one member of a coordinated AI workforce that also includes an AI Receptionist, an AI Coder, and an AI Triage Nurse, all sharing context through a single EHR integration [10]. So the AI Receptionist books the follow-up and the AI Coder pulls the ICD-10 and CPT codes before the clinician joins the next call.

The proof is at scale. Midi Health, a national virtual menopause and midlife-care platform, runs 600+ providers on Sully.ai. It started as a 25-provider pilot and grew from there. Because Midi is virtual-first and high-volume, its clinicians document almost entirely from video visits on athenahealth, and on Sully they see near-100% note completion and roughly 8-second note generation [5][6]. One Midi leader summed up the result simply: when physicians are done by 5pm, they are done, and they do not take the work home. No other tool in this list can point to a telehealth network that size documenting on it.

Setup is natural language. You describe your virtual visit types and Sully assembles the workflow around them.

2. Freed

Best for: solo telehealth clinicians who want a fast, no-setup scribe.

Freed generates specialty note formats for primary care and mental health and captures a browser-based video visit, starting around $99 per month [8]. The limitation is simple: it is a scribe and nothing more. No scheduling, no coding, no follow-up around the note.

3. Nabla Copilot

Best for: telehealth-first practices with multilingual patient panels.

Nabla is lightweight, works across devices, holds dual GDPR and HIPAA compliance, and offers a free tier up to about $119 per month. It is a strong fit for behavioral health and virtual-heavy clinics. The trade-off is depth: it is a single-purpose scribe with thinner enterprise and EHR support.

4. Abridge

Best for: health systems standardizing ambient documentation across hybrid care.

Abridge is enterprise-grade, with deep Epic integration and governance built for large organizations. That strength is also its limit. For a small virtual practice, it is a heavier lift than the job requires.

5. DeepScribe

Best for: specialty telehealth that needs depth in the note.

DeepScribe leads the AI-only field for specialty documentation and handles nuanced encounters well. Like most tools here, it is documentation only, with no workforce around it.

6. Glass Health

Best for: primary care physicians who want scribing plus clinical reasoning.

Glass Health is built for physicians [9], pairing ambient note-taking with clinical decision support in one workflow. Its scope centers on the note and the reasoning behind it, not administrative automation.

7. Suki

Best for: clinicians who want a voice assistant alongside a scribe.

Suki offers ambient note generation with voice commands, so you can drive it hands-free. It stays in the scribe and assistant lane rather than acting as a full administrative workforce.

How an AI Scribe Handles a Telehealth Visit Step by Step

The phrase "AI scribe" can feel abstract. Here is what actually happens across a virtual visit.

Capturing the Virtual Conversation

The scribe listens to the video call on whatever platform hosts it and transcribes both sides, using the clean separate audio channels virtual visits provide [8]. There is no in-room hardware to set up.

Generating the Structured Note

It turns the conversation into the correct note format for the specialty and encounter type, not a wall of transcript text. Speed is the point. The note is ready in minutes instead of piling into an after-hours backlog [1]. At Midi, note generation runs around 8 seconds on Sully.

Syncing to the EHR

The finished note writes back to the chart with the telehealth attestation and encounter details [3]. With Sully, the AI Coder then pulls the codes and the AI Receptionist books any follow-up, so the visit is closed out before the next one starts [10].

Bring an AI Workforce to Your Virtual Care Practice

A telehealth scribe that only writes notes still leaves scheduling, coding, and follow-up sitting on the clinician. That is the trap of picking a single tool. You solve one task and inherit the coordination of three more. And the honest way to price a scribe is against the full admin workload a note-only tool leaves behind, the scheduling, the coding, the follow-up, not against one cheap monthly seat.

Sully closes the whole loop with one integration. The AI Scribe documents the visit, the AI Coder handles the codes, the AI Receptionist manages scheduling and follow-up, and they share context instead of working in silos.

Midi Health is the evidence it scales. 600+ providers, virtual-first, documenting on athenahealth, with physicians finishing their day at 5pm instead of charting into the night [5][6]. If you run virtual care and want documentation to stop capping your growth, see how Sully's AI Scribe works or book a demo.

FAQ

Q: What is the best AI scribe for telehealth? Sully.ai is the strongest choice for telehealth because it captures the video visit, writes a HIPAA-compliant note to the EHR, and coordinates scheduling, coding, and follow-up through one integration. Midi Health, a national virtual menopause platform, runs 600+ providers on Sully.ai. Freed and Nabla Copilot are capable note-taking tools for solo virtual clinicians, though they only write the note and leave scheduling, coding, and follow-up to you.

Q: What is a telehealth scribe? A telehealth scribe documents a virtual visit so the clinician does not have to. Traditionally a remote human listened in and typed the note. Today an AI telehealth scribe captures the video conversation directly, writes a structured clinical note, and syncs it to the EHR, without anyone in the room.

Q: Can an AI scribe work during a Zoom or Google Meet telehealth visit? Yes. Modern AI scribes capture audio directly from common video platforms like Zoom, Google Meet, Microsoft Teams, and browser-based EHR video modules. Telehealth audio is often cleaner than an exam room because each speaker has a separate microphone channel, which can improve note accuracy.

Q: Is using an AI scribe for telehealth HIPAA compliant? It is when the tool is built for clinical use and runs inside a compliant workflow. HHS guidance for telehealth calls for confirming patient identity, capturing consent, documenting patient location, and securing data [4]. Sully.ai runs HIPAA-compliant documentation and writes back to the EHR with the correct telehealth encounter details.

Q: How much time does an AI scribe save on telehealth documentation? Physicians spend roughly two hours on EHR and desk work for every hour of direct patient care [2], plus about 86 minutes of after-hours "pajama time" nightly [1]. AI scribes cut per-visit documentation from 10 to 16 minutes down to 2 to 3 minutes, which compounds fast across a full day of virtual visits.

Q: Does an AI scribe replace scheduling and coding for virtual visits? A standalone scribe does not. It only writes the note. Sully.ai is different because it is an AI workforce: the AI Scribe documents the visit while the AI Coder extracts ICD-10 and CPT codes and the AI Receptionist handles scheduling and follow-up, all sharing context from one EHR integration.

Sources

[1] American Medical Association — Family doctors spend 86 minutes of "pajama time" with EHRs nightly [2] Annals of Internal Medicine (Arndt et al.) — Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data [3] Telehealth.HHS.gov — Planning your telehealth workflow [4] Telehealth.HHS.gov — Develop a privacy and security telehealth strategy [5] Forbes (Gemma Allen) — Telehealth For Menopause: Shifting Care Norms And Expanding Access [6] Forbes (Geri Stengel) — Midi Health: Menopause Is The Starting Gun, Not The Finish Line [7] Midi Health — How Midi Works[8] Freed — AI Scribe for Telehealth: How Virtual Providers Cut Documentation Time [9] Doximity — Best AI Medical Scribe Tools in 2026 [10] Sully.ai — AI Medical Scribe