5 Best AI Note Takers for Telehealth and Medical Calls in 2026

A typical day for a general practitioner looks something like this: three in-person appointments before lunch, two telehealth video consultations after, a handful of follow-up phone calls squeezed into gaps, and then an hour (or two) of charting after the last patient logs off. According to a widely cited 2016 study published in the Annals of Internal Medicine, physicians spend nearly two hours on EHR documentation for every one hour of direct patient care . For GPs running hybrid practices where in-person visits and virtual consultations alternate throughout the day, the documentation burden is even heavier because the workflow never settles into a single rhythm.

I have tested five AI note-taking tools over the past year with one specific question in mind: which ones actually reduce charting time for a general practitioner who switches between exam room encounters, video visits, and phone follow-ups multiple times a day? The answer depends on where your biggest documentation bottleneck sits, and whether compliance, clinical formatting, or workflow coverage matters most to your practice.

How we chose the best AI note takers for telehealth and medical calls in 2026

Evaluating AI note takers for clinical use requires a different lens than reviewing tools for business meetings. A missed action item in a project update is inconvenient. An inaccurate medication mention in a clinical note is a patient safety issue. The evaluation criteria below reflect the specific demands of medical documentation in a hybrid practice setting.

How the dual challenge: In-person plus telehealth

Most AI note-taking tools were built for one modality. Ambient clinical scribes like Nuance DAX were designed for in-person encounters, listening through a microphone in the exam room. Virtual meeting recorders like Otter.ai were designed for video calls, joining as a participant on Zoom or Teams. Very few tools handle both modalities well, and that gap creates a real problem for GPs who see a patient in the exam room at 10:00 AM, conduct a video follow-up at 10:30, and make a phone call to a specialist at 10:45.

When you use one tool for in-person visits and a different tool for telehealth, you end up with fragmented documentation. The notes live in different systems, the formatting is inconsistent, and the time spent switching between tools adds up across a full clinic day. The ideal solution captures audio from any encounter type (face-to-face, video, phone) and produces a consistent clinical note regardless of how the conversation happened.

The 3 decision variables

After months of testing across different practice configurations, three variables consistently determined whether a tool actually saved time or simply shifted the documentation burden from one step to another:

In-Person and Telehealth Coverage. Can the tool record and transcribe both exam room conversations and virtual visits? A tool that only covers video calls leaves your in-person encounters undocumented. A tool that only works with a room microphone cannot capture your telehealth sessions. For hybrid GPs, coverage across both modalities is the first filter.

Medical Compliance. Does the tool meet healthcare-specific regulatory requirements? At minimum, this means HIPAA-compliant data handling, encryption at rest and in transit, a Business Associate Agreement (BAA), and clear data retention policies. Some tools go further with SOC2 certification, regional compliance (PIPEDA in Canada, GDPR in Europe), and audit trail capabilities. In clinical contexts, compliance is not optional; it is the prerequisite for even considering a tool.

Clinical Documentation Automation. How much of the charting work does the AI actually do? The spectrum ranges from basic transcription (you get a text version of what was said) to fully structured clinical notes (the AI generates a SOAP note with assessment and plan sections populated). The further along that spectrum a tool sits, the more charting time it eliminates. But automation without accuracy creates a different problem: notes you have to heavily edit before signing are not saving you time.

Here is a quick-reference table based on these three variables:

5 best AI note takers for telehealth and medical calls

1. Plaud Note Pro: One Device for Exam Room, Video, and Phone Encounters

The core challenge for hybrid GPs is workflow fragmentation: one tool for the exam room, another for Zoom, a third for phone calls. Plaud Note Pro solves this by providing a single recording device that works across all three modalities, producing consistent AI-generated notes regardless of how the encounter happened.

Why It Works for Hybrid Medical Practice

In the exam room, Plaud Note Pro's 5-meter (16.4 ft) pickup range captures a full patient conversation without requiring precise microphone placement. You can set the device on your desk, in your coat pocket, or clipped to a lanyard, and it records clear audio from across the room. This matters in practice because ambient recording needs to be invisible to maintain the patient-physician dynamic. A device that requires you to hold it up or position it carefully between you and the patient introduces friction that accumulates over 20 encounters a day.

For telehealth video visits, Plaud Note Pro captures the audio from your computer. For phone follow-ups, it records the call directly. The result is that every encounter, regardless of modality, enters the same AI processing pipeline. You do not need to learn three different tools or reconcile notes from three different systems.

The 50-hour battery life is not a luxury feature in this context; it is a workflow requirement. A GP who sees patients from 8 AM to 5 PM cannot afford a tool that dies at 2 PM. Plaud Note Pro runs for roughly 5–6 full clinic days on a single charge, which means charging becomes a weekly habit rather than a daily anxiety.

After the encounter, the Plaud.AI transcription engine processes the recording with speaker identification across 100+ languages . For multilingual practices or communities where patients switch between languages during the encounter, this capability prevents the "untranscribed segments" problem that monolingual tools produce.

The custom template feature is where Plaud Note Pro becomes a clinical documentation tool rather than just a recorder. You can build templates that output structured notes matching your charting format: chief complaint, history of present illness, review of systems, assessment, and plan. The 30+ built-in templates provide starting points, and the customization layer lets you refine the output to match your EHR's specific fields. The Ask Plaud feature allows cross-encounter queries ("What medications has this patient mentioned across the last three visits?"), which is useful during chart reviews and care planning.

Security architecture includes AES-256 encryption and SOC2 Type II certification . The Plaud Trust Centerdocuments the full compliance framework. For GPs who need to demonstrate data handling practices during compliance audits, this documentation provides a clear reference.

The AI membership plans scale with practice volume. The Pro plan at $8.33/month (billed annually) provides 1,200 transcription minutes per user, covering roughly 20 one-hour encounters or 60 twenty-minute visits. The Unlimited plan at $19.99/month (annual) offers 6,000 minutes, which accommodates high-volume practices comfortably.

Where Plaud Note Pro is NOT the best choice

Plaud Note Pro does not integrate directly with EHR systems like Epic, Cerner, or Athenahealth. The workflow involves generating a note in the Plaud app and then transferring it to your EHR (copy-paste, export, or via AutoFlow integrations). For physicians who want a fully ambient experience where the AI writes directly into the chart, a tool like Nuance DAX Copilot offers that deeper integration. Plaud Note Pro also does not provide team management dashboards or multi-provider analytics, which larger group practices may require.

2. Plaud Note: The Portable Solution for Phone Follow-Ups and Telehealth Calls

Not every GP needs professional-grade room pickup. For physicians whose primary documentation gap is phone follow-ups and telehealth video visits, Plaud Note offers the same AI processing in a more compact, more affordable package.

Why it works for telehealth-focused documentation

Plaud Note provides a practical entry point for physicians who want AI-assisted documentation without a larger hardware investment. The dual-mode design handles both phone call recording (attach it to your phone) and face-to-face recording (place it on your desk), covering the two most common encounter types in a telehealth-oriented practice.

The one-button recording design means zero workflow disruption. Press once to start, press again to stop. There are no apps to configure during a patient call, no settings to adjust between encounters. The AI engine then generates transcripts with speaker identification and structured summaries using the same template library available on Plaud Note Pro.

For physicians in training, locum GPs, or those building a new telehealth practice, the combination of low cost and capable AI makes Plaud Note a sensible starting point. You get the core benefit (recorded encounters turned into structured notes) without the premium hardware features that matter most in larger exam room settings.

Where Plaud Note is NOT the best choice

The pickup range is shorter than Plaud Note Pro's, which means in-person encounters require the device to be positioned closer to the conversation. In a busy exam room where you move between the desk, examination table, and sink, the reduced range may result in lower transcription quality for portions of the encounter. For practices where in-person visits are the majority of the workload, the Pro model's 5-meter range is a meaningful upgrade. Additionally, physicians with strict HIPAA compliance requirements should verify that the security certifications align with their specific regulatory obligations.

3. Nuance DAX Copilot: Ambient clinical intelligence with direct EHR integration

Nuance DAX Copilot (Dragon Ambient eXperience) represents the most deeply integrated approach to AI clinical documentation. Built on Microsoft's infrastructure and designed specifically for healthcare, DAX Copilot listens to the patient encounter and generates a clinical note directly inside your EHR.

Why It Works for Medical Documentation

The defining feature is ambient documentation with EHR integration. DAX Copilot captures the physician-patient conversation through a microphone (typically on a smartphone or dedicated device), processes the audio through its clinical AI engine, and drafts a note directly in supported EHR systems including Epic, Cerner, and Athenahealth . The physician reviews the draft, makes any necessary edits, and signs the note. The entire process from encounter to signed chart can take minutes rather than the 15 to 20 minutes of manual charting that many GPs report per visit.

The clinical AI is trained on medical conversations specifically, which means it understands the difference between a patient describing symptoms and a physician explaining a diagnosis. The resulting notes follow standard clinical documentation formats and typically include structured sections for history of present illness, physical exam findings (based on verbal descriptions), assessment, and plan.

For large health systems and group practices, DAX Copilot offers administrative features including usage analytics, multi-provider deployment, and IT management tools. The Microsoft/Nuance backing also provides enterprise-grade compliance certifications that satisfy most healthcare regulatory requirements.

Where Nuance DAX Copilot Is NOT the Best Choice

DAX Copilot's pricing reflects its enterprise positioning. Per-provider costs are significantly higher than consumer or prosumer tools, and the platform is typically sold through institutional contracts rather than individual subscriptions. For solo practitioners or small practices, the investment may be disproportionate to the volume of documentation generated.

The tool is optimized for in-person ambient recording and supported telehealth platforms. Phone-only encounters, informal patient calls, and conversations that happen outside the structured encounter workflow may not be captured as reliably. Language support, while expanding, remains more limited than multilingual tools; practices serving diverse linguistic communities should verify coverage for their specific patient populations.

4. Nabla: A lightweight AI scribe for telehealth-first practices

Nabla positions itself as an AI medical scribe that focuses on speed and simplicity. For telehealth-heavy practices where video visits make up the majority of encounters, Nabla offers fast clinical note generation without the complexity (or cost) of enterprise ambient platforms.

Why it works for telehealth documentation

Nabla's core workflow is straightforward: it listens to your telehealth consultation, generates a clinical note in near real-time, and presents a draft for your review. The AI is trained on medical conversations and produces notes in structured clinical formats rather than generic meeting summaries. For a GP conducting back-to-back video visits, the ability to have a draft note ready within minutes of the encounter ending significantly reduces end-of-day charting.

The platform supports integration with several EHR systems, reducing the copy-paste step that standalone tools require. The interface is designed for clinical users rather than general business users, which means the settings, templates, and output options are oriented toward medical documentation needs.

Nabla's pricing is generally more accessible than enterprise ambient platforms, making it a viable option for independent practices and small groups. The focus on telehealth encounters means the setup is simple: connect it to your video platform, and it handles the rest.

Where Nabla is NOT the best choice

Nabla's strength is telehealth video visits. If a significant portion of your encounters happen in person, over the phone, or in hybrid formats, the coverage gap becomes a problem. A GP who sees 10 patients in the exam room and 5 via video needs a solution that covers both; relying on Nabla for only the virtual half leaves the larger documentation burden unaddressed.

The platform's EHR integrations, while growing, do not yet cover every system. Physicians using less common EHR platforms should verify compatibility before committing. Additionally, the clinical note output, while structured, may require more editing for complex encounters with multiple diagnoses or nuanced treatment plans compared to more established ambient systems.

5. Otter.ai: Affordable transcription for virtual consultations

Otter.ai is not a clinical tool by design, but its real-time transcription and meeting summary features make it a functional (if limited) option for physicians whose primary need is a searchable record of video consultations.

Why it works for basic telehealth transcription

Otter integrates with Zoom, Google Meet, and Microsoft Teams, providing real-time transcription during video consultations. The ability to see a live transcript during a call can be useful for complex consultations where you want to verify that you captured medication names, dosages, or specific symptom descriptions accurately.

The post-call summary provides a structured overview of the conversation, and the searchable archive lets you find specific moments across past consultations by keyword. For physicians who need to review what a patient said during a previous visit (Was it the left knee or the right? Did they mention a penicillin allergy?), this search functionality has practical clinical value.

Otter's free tier provides 300 minutes of transcription per month, and the Pro plan at $8.33/month (billed annually) offers 1,200 minutes. This makes it one of the most affordable options for physicians who want basic transcription without a clinical-grade investment.

Where Otter is NOT the best choice

The limitations for medical use are significant. Otter does not offer HIPAA-compliant plans with a BAA on its standard tiers, which means storing patient conversations on the platform creates regulatory risk. The transcription output is a general meeting summary, not a clinical note; you will need to manually reformat everything into SOAP, HPI, or whatever structure your EHR requires.

Otter supports only 4 languages, which limits usefulness in multilingual practice settings. The visible bot that joins video calls may also be problematic in sensitive patient encounters where discretion matters. For physicians who need compliant, clinically formatted documentation, Otter is better suited to non-clinical meetings (team huddles, administrative calls, CME sessions) than to direct patient encounters.

So which one should you pick?

The right choice depends on your practice's encounter mix and compliance requirements. Here is a decision framework based on the most common scenarios:

If you run a hybrid practice (in-person plus telehealth) and privacy is a top priority, Plaud Note Pro provides the most versatile recording coverage. A single device handles exam room encounters, video visits, and phone calls, producing consistent AI-generated notes across all three. The SOC2 Type II certification and AES-256 encryption address compliance needs, and the custom template feature lets you build output formats that match your charting workflow. This is the strongest option for GPs who need one tool that covers everything.

If phone follow-ups and telehealth calls are your main documentation gap and budget matters, Plaud Notedelivers the core AI transcription and summary capabilities at a lower price point. It is well-suited for solo physicians, locum GPs, or practices where the in-person documentation workflow already functions well and the gap is primarily on the virtual side.

If you need automated clinical notes written directly into your EHR, Nuance DAX Copilot offers the deepest integration. The investment is substantial, but for practices generating high encounter volumes within supported EHR systems, the time savings per chart can justify the cost. This option makes the most sense for larger practices and health systems.

If your practice is telehealth-first and you want fast, affordable clinical notes, Nabla provides medical-specific AI documentation without enterprise complexity or pricing. Verify EHR compatibility before committing.

If you primarily need transcription for non-clinical meetings and low-sensitivity virtual consultations, Otter.ai is functional and affordable, but should not be used for encounters involving protected health information unless your organization has verified compliance.

Conclusion

The documentation burden in general practice is not going to decrease on its own. Patient panels are growing, encounter complexity is increasing, and regulatory requirements around clinical documentation continue to expand. AI note takers offer a practical path to reclaiming the time that charting consumes, but only if the tool you choose actually fits the way you practice.

Here is a concrete next step: track your encounters for one week. Count how many are in-person, how many are video, and how many are phone calls. Note which encounter type generates the most documentation friction. Then match that pattern against the decision framework above. If 60% of your encounters are in the exam room and 40% are virtual, you need a tool that covers both modalities. If 80% are telehealth, a video-first solution may suffice.

Test your top candidate with 5 to 10 real encounters (with appropriate patient consent and compliance safeguards in place). The key metric is not transcription accuracy alone; it is how much time passes between the encounter ending and you signing a completed chart note. If the AI reduces that gap from 15 minutes to 3 minutes per encounter across a 25-patient day, you recover roughly 5 hours per week. That is time for patient care, continuing education, or the kind of workday that does not end with a stack of unfinished charts.