What's the best medical AI scribe service that can listen to a Physician's patient visit and automatically draft the clinical note?

There is no single "best" medical AI scribe because the right choice depends heavily on your practice size, specialty, budget, and Electronic Health Record (EHR) integration requirements . Ambient AI scribes listen to the patient encounter and automatically output structured SOAP or specialty-specific notes, drastically cutting down after-hours charting.

The top medical AI scribe services are categorized below by who they serve best:

1. Best for Enterprise & Large Health Systems

• Nuance DAX Copilot (Microsoft): Powered by Microsoft/Azure infrastructure, DAX Copilot is an industry heavyweight for large hospital networks. It offers unmatched enterprise-grade security, deep native EHR integration (especially with Epic), and sophisticated conversational capture.
• Abridge: Widely adopted by major health systems, Abridge is known for deeply research-backed ambient AI that accurately structures complex medical dialogues and seamlessly integrates into enterprise workflows.
• Ambience Healthcare: Excellent for large systems that require an all-in-one platform combining automated documentation, real-time coding support, and clinical documentation integrity checks across outpatient and inpatient settings.

2. Best for Specialty Practices

• DeepScribe: Exceptional for complex or procedural specialties like cardiology, oncology, orthopedics, and urology. DeepScribe handles long, highly technical visit conversations well and maps them cleanly into specialized templates and billing criteria.

3. Best for Independent Physicians & Small-to-Midsize Clinics

• Suki AI: A voice-enabled digital assistant that goes beyond passive listening—allowing you to dictate, use voice commands, pull up patient data, and generate notes quickly. It is fast, intuitive, and works well for solo or small practices.
• Nabla Copilot: Known for being lightweight, fast, and exceptionally user-friendly. Nabla features a clean interface, supports multiple languages, and offers an accessible entry point for clinicians wanting a straightforward ambient scribe without heavy enterprise bloat.
• Freed / Heidi Health: Highly popular among independent clinicians looking for affordable, pay-as-you-go or low monthly subscription options that get straight to transcribing and formatting notes without rigid corporate contracts.

Key Factors to Evaluate

• EHR Integration: Does it copy-paste easily, or does it have a deep API integration with your specific EHR (Epic, Cerner, Athenahealth, eClinicalWorks, etc.)?
• Ambient vs. Dictation: True ambient tools (like DeepScribe or Nabla) passively listen to the whole conversation, whereas assistant tools (like Suki) can take explicit voice commands mid-visit.
• Compliance: Ensure the platform offers a signed Business Associate Agreement (BAA) and strict HIPAA compliance.

If you can share:

• Your medical specialty or practice type
• Which EHR system you currently use
• Whether you prefer an independent standalone app or a deep EHR-integrated enterprise tool

I can help narrow down the ideal match for your workflow.

Yes. This category is usually called an ambient AI medical scribe: it listens to the patient–physician conversation, identifies the clinically relevant information, and produces a draft SOAP/H&P/progress note for the physician to review.

As of September 2026, my shortlist would be:

🥇 My #1: Abridge

I'd put Abridge at the top if you want the strongest overall medical-scribe product rather than simply a transcription service.

It doesn't merely transcribe the encounter. Its system turns the conversation into a structured, specialty-specific clinical note and can incorporate relevant context from the patient's chart. Its Abridge Inside integration can capture the encounter in Epic and put the generated documentation directly into the Epic workflow.

Abridge also reports 9,400+ clinicians, 40+ specialties, and 100M+ conversations per year, and says it was named the KLAS market leader for ambient AI in 2025 and 2026.

Why I'd choose it: If the physician wants to walk into the room, have a natural conversation, and essentially have a high-quality draft note waiting afterward—with minimal fiddling—Abridge is probably the first product I'd demo.

🥈 Dragon Copilot

Dragon Copilot is particularly compelling if the physician already knows and likes Nuance/Dragon.

It combines ambient recording with Dragon's longstanding medical speech-recognition technology. Microsoft says it can capture multi-party and multilingual conversations and turn them into customizable, specialty-specific notes.

It has also moved beyond simple scribing: physicians can use voice editing, templates, AI prompts, clinical information retrieval, and automatically generated clinical documents.

Best choice if: you're already heavily invested in Microsoft/Dragon/Epic and want one broader clinical AI assistant rather than a standalone scribe.

🥉 Suki

Suki is another very serious contender. It listens to the entire encounter and produces notes, patient instructions and orders, while also supporting voice-enabled editing and problem-based charting. It says it works across 100+ specialties and major EHRs.

I'd especially consider it for a physician who wants to control the documentation by voice, rather than just press record and accept/edit the resulting note.

Nabla

Nabla deserves a demo as well, particularly if you're an Epic user. It can generate structured notes and follow-up instructions and insert them directly into Epic. It also synchronizes the physician's schedule and can suggest diagnoses, problems and vitals after the encounter.

Nabla reports deployment at 130+ health organizations and 85,000+ clinicians.

What I'd actually do

If this is for a single physician or small practice, I would demo these three:

1. Abridge
2. Dragon Copilot
3. Suki

And I'd have the same physician use each one for ~10 real-world encounters across different visit types. Don't judge them based on a polished demo.

I'd specifically score:

• Clinical accuracy — Does it invent anything?
• Omissions — Does it miss important negatives, medications, doses, etc.?
• Assessment & Plan quality — This is more important than transcription accuracy.
• Specialty performance — Cardiology, primary care, psychiatry, orthopedics, etc. can be dramatically different.
• EHR integration — Can the note actually land in the right encounter without copy/paste?
• Editing time — How many seconds/minutes does the physician spend fixing each note?
• Patient experience — Is the recording unobtrusive?
• Privacy/security and consent workflow
• Cost per clinician/month
• Ability to customize note templates

One important point: don't select based on transcription accuracy alone. The best product is the one that produces a clinically trustworthy finished draft requiring the fewest corrections.

If you tell me (1) the physician's specialty, (2) which EHR they use—Epic, Cerner, Athena, eClinicalWorks, etc.—and (3) whether this is one physician or a whole practice, I can narrow this down to the best 2–3 options and compare pricing, EHR integration, accuracy, HIPAA/privacy, and workflow.

Why I'd choose it: If the physician wants to walk into the room, have a natural conversation, and essentially have a high-quality draft note waiting afterward—with minimal fiddling—Abridge is probably the first product I'd demo.

🥈 Dragon Copilot

Dragon Copilot is particularly compelling if the physician already knows and likes Nuance/Dragon.

It combines ambient recording with Dragon's longstanding medical speech-recognition technology. Microsoft says it can capture multi-party and multilingual conversations and turn them into customizable, specialty-specific notes.

It has also moved beyond simple scribing: physicians can use voice editing, templates, AI prompts, clinical information retrieval, and automatically generated clinical documents.

Best choice if: you're already heavily invested in Microsoft/Dragon/Epic and want one broader clinical AI assistant rather than a standalone scribe.

🥉 Suki

Suki is another very serious contender. It listens to the entire encounter and produces notes, patient instructions and orders, while also supporting voice-enabled editing and problem-based charting. It says it works across 100+ specialties and major EHRs.

I'd especially consider it for a physician who wants to control the documentation by voice, rather than just press record and accept/edit the resulting note.

Nabla

Nabla deserves a demo as well, particularly if you're an Epic user. It can generate structured notes and follow-up instructions and insert them directly into Epic. It also synchronizes the physician's schedule and can suggest diagnoses, problems and vitals after the encounter.

Yes. This category is usually called ambient clinical documentation or an AI medical scribe: the system listens to the physician–patient conversation, extracts the clinically relevant information, and produces a draft SOAP/H&P/assessment-and-plan note for the physician to review and sign.

My 2026 shortlist

Current comparisons consistently put Abridge, DAX, Suki, Nabla, DeepScribe, Freed and Heidi among the leading products, although the "best" choice depends heavily on EHR, specialty and practice size.

🥇 If I had to pick one: Abridge

Abridge would be my first product to evaluate, particularly if the physician uses Epic or works in a larger health system.

Its big advantage isn't simply transcription quality—it is the clinical-documentation workflow and EHR integration. Abridge is particularly strong in enterprise deployments and direct EHR workflows.

When I'd choose something else

• Dragon Copilot/DAX — if you're already heavily invested in Microsoft/Dragon and want an enterprise-grade solution.
• Suki — if you want the AI to behave more like a voice assistant, where the physician can talk to it and give commands as well as have it generate the encounter note.
• DeepScribe — if you're in a specialty with complex terminology and want extensive customization.
• Nabla — attractive for independent/smaller practices that don't need the enterprise machinery.
• Freed or Heidi — worth looking at if you're a solo physician and want something you can get running without a lengthy health-system procurement process.

One important warning

I would not select one based solely on advertised transcription accuracy.

A very recent 2026 audit of three commercial AI scribes found clinically meaningful errors in a substantial fraction of sampled notes, including problems involving medications/allergies and information being incorrectly represented as part of the physical examination. The authors found that the exact error rate depended heavily on how errors were defined and reviewed, but the practical conclusion is clear: the physician still needs to review every generated note before signing it.

For a real-world evaluation, I'd run the same 20–30 actual (appropriately consented/de-identified or vendor-approved) encounters through 3 vendors and score:

1. Accuracy of HPI
2. Medication/allergy accuracy
3. Assessment & Plan accuracy
4. Hallucinations/invented findings
5. Specialty terminology
6. How much editing the physician actually does
7. EHR integration
8. Speed from conversation → finished note
9. BAA/HIPAA and data-retention terms
10. Physician minutes saved per encounter

That last metric is more useful than an advertised "95% accuracy" number.

If you tell me the physician's specialty, EHR (Epic, Cerner/Oracle, Athena, eClinicalWorks, etc.), and whether this is a solo practice or hospital/large group, I can narrow this down to the top 2–3 and compare their pricing, integrations, privacy, and actual workflow.

There is no single "best" medical AI scribe for everyone, because the right tool depends heavily on your practice size, budget , and EHR integration needs.

The top-performing medical AI scribe services fall into distinct categories based on who they are built for:

• Nuance DAX Copilot (Microsoft)
  • Best for: Large health systems, enterprise clinics, and deep Epic App Orchard or Cerner integration.
  • Strengths: Backed by Microsoft/Azure infrastructure, incredibly robust compliance architecture, and a seamless "invisible" enterprise workflow.
  • Drawback: Enterprise pricing and notes can sometimes read rigidly, like an auditor's checklist.
• Abridge
  • Best for: Hospital networks and large-to-midsize practices prioritizing narrative accuracy.
  • Strengths: Widely praised for having the most human-sounding, highly readable clinical summaries and structural accuracy, especially within Epic environments.
• Freed AI
  • Best for: Solo practitioners and small practices looking for an affordable, straightforward option.
  • Strengths: Around $99/month, requires zero IT setup, and works right out of the box with simple copy-pasting or lightweight EMR workflows.
  • Drawback: Doesn't have complex multi-system enterprise controls, but it is fast and budget-friendly.
• Nabla Copilot
  • Best for: Tech-savvy clinicians, multi-lingual practices, and telehealth.
  • Strengths: Priced competitively (roughly $119/month), handles noisy room speaker separation well, supports 25+ languages, and boasts one of the fastest user interfaces on the market.
• Suki AI
  • Best for: Physicians who want voice-first command capabilities across their EHR, not just a passive listener.
  • Strengths: Acts as an active digital assistant that can pull data, suggest ICD-10 codes, and queue orders alongside charting.
• Heidi Health
  • Best for: Clinicians wanting a powerful free tier or hyper-flexible device support.
  • Strengths: Offers a genuinely functional free tier alongside great mobile/web cross-platform flexibility.

To help narrow down which one fits your workflow, tell me:

• What EHR system do you use?
• Are you a solo practitioner or part of a large hospital/enterprise system?
• Do you prefer a free/low-cost independent app or an enterprise-integrated solution?

There is no single "best" medical AI scribe because the ideal choice depends heavily on your practice size, budget, specialty, and Electronic Health Record (EHR) system . However, the market has coalesced around a few top-tier category leaders known for passive ambient listening and accurate clinical note generation.

The leading solutions are categorized by what they do best:

1. Best for Enterprise & Deep EHR Integration (Large Health Systems)

• Abridge: Abridge has consistently topped industry evaluations (earning top KLAS recognition for ambient AI). It excels at structuring complex multi-speaker patient dialogues into precise, verifiable SOAP notes. It integrates deeply into enterprise workflows and provides a high degree of transparency back to the source audio.
• Nuance DAX Copilot (Microsoft/Nuance): Powered by Azure and built specifically for large-scale hospital networks and enterprise clinics deeply entrenched in Epic . It generates rich clinical narratives and securely syncs right into enterprise workflows, though it typically requires enterprise-level contracting.

2. Best for Ambulatory Care & Complex Specialties

• DeepScribe: Highly rated for specialty-heavy outpatient practices (such as cardiology, oncology, or orthopedics). It filters out irrelevant background chatter, adapts to complex clinical terminology, and turns long specialty encounters into clean, structured notes.
• Suki AI: A voice-enabled assistant that allows for ambient listening alongside powerful voice commands. It is flexible for both solo practitioners and growing groups, letting clinicians dictate adjustments, pull up ICD-10 codes, or place orders conversationally.

3. Best for Independent Physicians, Solo Practices & Speed

• Nabla Copilot: Known for a lightweight interface, fast summaries, and low-friction deployment. It supports multiple languages, works smoothly across web and mobile, and features chat-based assistants to quickly query the visit summary or draft patient instructions.
• Freed AI / Heidi Health: Excellent minimal-setup tools designed to reduce administrative drag immediately for urgent care, solo clinics, or telehealth providers. They offer straightforward recording-to-note pipelines with less architectural bloat than enterprise systems.

What to Look For Before Choosing:

To help narrow down the best fit, tell me:

• What EHR system are you currently using?
• What is your medical specialty or practice setting?

Yes. These are generally called ambient clinical AI scribes: they listen to the physician–patient conversation, distinguish speakers, and produce a draft SOAP/H&P or specialty-specific note for the physician to review.

My top picks in 2026

🥇 Abridge — my first choice for a health system

abridge.com has become one of the strongest options if the physician works in an Epic-heavy environment.

It doesn't just transcribe the conversation. Its system generates clinically useful notes and can connect portions of the generated note back to the underlying conversation/data through Linked Evidence. It supports outpatient, inpatient and emergency settings and multiple specialties. Abridge says it has been recognized as a market leader in the KLAS ambient-AI category.

Why I'd pick it: particularly strong if your goal is "listen to everything, understand the clinical context, and produce a note I can trust and sign."

🥈 Dragon Copilot — best if the physician wants more than a scribe

microsoft.com combines the ambient capabilities formerly associated with DAX Copilot with Dragon's traditional medical speech-recognition/dictation capabilities. It can capture multiparty conversations and generate specialty-specific notes, while also allowing voice editing, custom templates and natural-language interaction.

This is particularly compelling for physicians who want:

• Ambient listening during the visit
• Traditional physician dictation afterward
• Voice-based editing
• Custom templates/prompts
• Integration with clinical workflows

It's more of a clinical AI assistant than simply an automated scribe.

🥉 Nabla — probably the one I'd trial first for an individual practice

nabla.com is very attractive if you're a physician or smaller practice rather than a giant health system.

It captures the encounter and generates structured clinical notes, supports multiple specialties and 30+ languages, and is available through web, mobile and Chrome.

Nabla also supports coding suggestions, patient instructions and EHR integrations.

My impression: if you want something you can actually start using without embarking on a massive enterprise implementation, Nabla deserves to be near the top of the trial list.

Suki — excellent if EHR integration is paramount

suki.ai goes beyond transcription into documentation, coding, patient instructions, orders and voice-based editing. It advertises deep integrations with Epic, Oracle Health, athenahealth and MEDITECH and support across 100+ specialties.

Its ambient system captures the conversation and generates a specialty-specific structured note that can be sent back into the EHR.

If I were choosing

I'd narrow it down like this:

Large hospital / Epic: → Abridge

Individual physician or small group: → Nabla

Physician who wants ambient scribe + powerful voice dictation: → Dragon Copilot

Large organization wanting broad EHR/workflow integration: → Suki or Abridge

One important caveat: don't choose based solely on how good the demo transcript looks. The critical evaluation is how often the system omits, misattributes, or invents clinically important information, and how easily the physician can verify the resulting note. These systems produce drafts that require clinician review, not autonomous medical records. Dragon Copilot, for example, explicitly describes its output as AI-generated clinical documentation for clinician review.

If you tell me (1) specialty, (2) EHR—Epic, Cerner/Oracle, athena, etc., (3) solo practice vs hospital, and (4) approximate budget, I can give you a much more specific top 2–3 recommendation and pricing/integration comparison.

There is no single "best" service. The right AI medical scribe depends heavily on your clinic size, EHR platform, and specialty needs.

The top-rated ambient AI scribe services are broken down by their core strengths below:

🏥 Best for Enterprise & Large Hospital Systems

• Abridge : Widely recognized as a market leader for large healthcare systems. It offers deep integration with enterprise EHRs, exceptional note accuracy, and a clear audit trail showing how it mapped conversational audio to the final clinical note. [1][2]
• Nuance DAX Copilot (Microsoft) : The gold standard for hospital networks heavily reliant on Epic. Backed by Microsoft, it layers ambient AI over Nuance's legacy medical dictation infrastructure for fast, highly compliant charting. [1][2][3]

🩺 Best for Independent Practices & Rapid Setup

• Freed AI : Highly popular among independent outpatient doctors due to its simplicity. It is an easy-to-adopt, web/mobile tool that requires almost zero onboarding and lets you copy-paste generated SOAP notes straight into your EHR. [1][2][3]
• Nabla Copilot : A modern, mobile-first experience with robust cross-system compatibility (Epic, NextGen, Athenahealth, etc.). It features highly customizable note formatting and handles code-switching smoothly if your patients alternate languages. [1][2][3]

🧠 Best for Specialized Workflows & Reasoning

• DeepScribe : The top choice if you practice a highly specific specialty like oncology, orthopedics, or cardiology. It learns your highly personal formatting styles and offers custom clinical logic modules. [1][2][3]
• Glass Health : Unique because it pairs ambient scribing with an AI clinical decision support layer. While it drafts your note, it also builds structured, evidence-backed differential diagnoses. [1]

Key Feature Comparison

If you share your specific medical specialty, current EHR platform , and whether you practice in an independent clinic or large hospital , I can narrow this down to the single most compatible option for your workflow.

If you're asking for the best ambient AI medical scribe in 2026, my pick is Abridge—particularly for a physician who wants the highest-quality clinical documentation and strong EHR integration.

My ranking

🥇 Abridge — best overall

Abridge is where I'd start.

It listens to the physician-patient conversation, understands the clinical context, and produces a structured, specialty-specific note for physician review. Importantly, it isn't simply transcription: Abridge is designed to turn the conversation into clinical documentation and integrate that documentation directly into EHR workflows.

A particularly strong feature is Linked Evidence—the system can connect portions of the generated note back to the underlying conversation, which is valuable when a physician wants to verify what the AI actually heard. Abridge also has deep Epic integration.

Abridge has also seen substantial health-system adoption; for example, UCHealth expanded it to more than 2,000 providers following a pilot.

🥈 Microsoft Dragon Copilot

Microsoft's Dragon Copilot is probably the strongest alternative.

It combines the established Dragon Medical speech-recognition technology with DAX's ambient listening. It records the encounter, generates a clinical note, and lets the physician subsequently edit it using voice, templates, or AI prompts.

I'd lean toward Dragon Copilot if the physician/practice already uses Dragon Medical, Microsoft, or a Microsoft/Nuance-heavy environment. It also has specialty-specific documentation capabilities.

🥉 Suki

Suki is an excellent option if the physician wants something that feels more like an AI assistant than simply an automated scribe.

It can capture the entire conversation, generate notes, create patient instructions and orders, and allow voice-based editing. Suki says it supports 100+ specialties and major EHRs.

Nabla

Nabla is another one I'd seriously evaluate, particularly for an individual physician or smaller practice. It generates structured clinical documentation in real time and supports more than 30 languages. It also has web, mobile, and Chrome-based access.

What I'd choose

For a large hospital/health system: Abridge or Dragon Copilot.

For an individual physician: I'd demo Abridge + Suki + Nabla and choose based on which produces the least editing for that physician's particular specialty and documentation style.

If the physician uses Epic: Abridge gets a particularly strong recommendation because of its direct Epic workflow integration.

If the physician already uses Dragon Medical: Dragon Copilot deserves a serious look because it combines ambient documentation with Dragon's traditional dictation capabilities.

One important caveat: don't judge these products by how impressive the demo sounds. The key metric is how much the physician has to correct before signing the note. A recent 2026 comparison similarly identifies editing burden as one of the most important things to measure in an actual pilot.

If you tell me the physician's specialty (e.g., primary care, cardiology, orthopedics, psychiatry), EHR (Epic, Cerner, athenahealth, etc.), and whether this is a solo practice or hospital, I can narrow this down to the best 2–3 choices and compare pricing, HIPAA/BAA, EHR integration, accuracy, and workflow.

There is no single "best" service. The right AI medical scribe depends heavily on your clinic size, EHR platform, and specialty needs.

The top-rated ambient AI scribe services are broken down by their core strengths below:

🏥 Best for Enterprise & Large Hospital Systems

• Abridge : Widely recognized as a market leader for large healthcare systems. It offers deep integration with enterprise EHRs, exceptional note accuracy, and a clear audit trail showing how it mapped conversational audio to the final clinical note. [1][2]
• Nuance DAX Copilot (Microsoft) : The gold standard for hospital networks heavily reliant on Epic. Backed by Microsoft, it layers ambient AI over Nuance's legacy medical dictation infrastructure for fast, highly compliant charting. [1][2][3]

🩺 Best for Independent Practices & Rapid Setup

• Freed AI : Highly popular among independent outpatient doctors due to its simplicity. It is an easy-to-adopt, web/mobile tool that requires almost zero onboarding and lets you copy-paste generated SOAP notes straight into your EHR. [1][2][3]
• Nabla Copilot : A modern, mobile-first experience with robust cross-system compatibility (Epic, NextGen, Athenahealth, etc.). It features highly customizable note formatting and handles code-switching smoothly if your patients alternate languages. [1][2][3]

🧠 Best for Specialized Workflows & Reasoning

• DeepScribe : The top choice if you practice a highly specific specialty like oncology, orthopedics, or cardiology. It learns your highly personal formatting styles and offers custom clinical logic modules. [1][2][3]
• Glass Health : Unique because it pairs ambient scribing with an AI clinical decision support layer. While it drafts your note, it also builds structured, evidence-backed differential diagnoses. [1]

Key Feature Comparison

If you share your specific medical specialty, current EHR platform , and whether you practice in an independent clinic or large hospital , I can narrow this down to the single most compatible option for your workflow.

Yes. What you're describing is usually called an ambient AI medical scribe: it listens to the physician–patient conversation, transcribes the encounter, and produces a draft SOAP/H&P/Assessment & Plan note for the physician to review and sign.

As of 2026, my shortlist would be:

Independent 2026 comparisons broadly converge on this segmentation: Abridge and Dragon Copilot are particularly strong for enterprise health systems; Suki distinguishes itself with voice interaction; Nabla/Heidi/Freed are attractive for smaller practices; and DeepScribe has particular strength in specialty-heavy workflows.

If I were choosing for a physician

I'd start with Abridge. It has become one of the leading enterprise ambient-documentation platforms, with particularly strong Epic integration. One important differentiator is that Abridge can link portions of the generated note back to the underlying conversation/audio, which is valuable for physician verification and trust.

But if this is one physician or a small private practice, I wouldn't automatically choose Abridge. I'd seriously test Nabla, Suki, Freed, and DeepScribe alongside it.

The biggest issue isn't simply "Which AI writes the best note?" It's:

1. How accurate is it with medical terminology?
2. Does it hallucinate facts or medications?
3. How well does it distinguish physician statements from patient statements?
4. Does it understand your specialty and preferred note format?
5. How easily does the note get into your EHR?
6. Does it suggest appropriate ICD-10/CPT codes?
7. Can the physician see the evidence behind the generated note?
8. What happens to the patient's audio/transcript, and is the vendor HIPAA-compliant?
9. Can it handle multiple languages/accented speech?
10. How much editing does the physician actually have to do?

That last one is critical. A scribe that generates a beautiful note but requires 3 minutes of correction isn't necessarily better than one producing a slightly less polished note that requires 30 seconds of review.

My practical ranking

Large hospital / Epic: Abridge → Dragon Copilot → Suki

Private practice / 1–20 physicians: Nabla → Suki → Freed → DeepScribe

Specialist (cardiology, oncology, surgery, etc.): DeepScribe → Abridge → Suki

Physician who wants a "Siri for the medical practice": Suki

Physician who just wants "turn on my phone, see patient, get my note": Freed or Nabla

One 2026 comparison also notes that the major products differ substantially in whether they generate notes in real time versus shortly after the encounter, and in how deeply they integrate with Epic, Oracle/Cerner, athenahealth, and other EHRs.

If you tell me the physician's specialty, EHR (Epic, Cerner, eClinicalWorks, athena, etc.), and whether this is a solo practice or hospital system, I can narrow this down to the 2–3 best choices and compare their current pricing, HIPAA/privacy model, EHR integration, and note quality.