9 Best Ambient AI Medical Scribes 2026
The best AI medical scribe should reduce documentation burden, produce clinically useful notes, and fit the workflows clinicians already use. Documentation burden is cited by 16% of providers as their primary driver of burnout (Tebra, 2024), making AI scribes one of the highest-ROI categories for many clinical practices. This guide reviews nine leading AI medical scribes in 2026, scores them on a transparent public-source methodology, and helps you shortlist the right tool for your practice.
Quick Comparison: 9 Best AI Medical Scribes at a Glance
| Tool | Public access model | Public workflow emphasis | Best For |
|---|---|---|---|
| Glass Health | Lite free; Starter $20/mo; Pro $90/mo; Max $200/mo | Ambient scribing plus Glass Health CDS | Clinicians who want documentation and clinical reasoning in one path |
| Freed | Published self-serve tiers and trial | Ambient documentation and practice-friendly onboarding | Clinicians who want simple self-serve note generation |
| Abridge | Enterprise evaluation | Enterprise clinical-conversation workflow and Epic deployment language | Large health systems running formal workflow review |
| Dragon Copilot | Enterprise Microsoft evaluation | Documentation, surfaced information, and task automation | Microsoft-centered health systems |
| Suki | Sales-led and enterprise evaluation | Ambient clinical intelligence, coding, and deep EHR workflow | Teams that want an assistant-style workflow |
| Heidi Health | Free-start and paid-plan mix | Broad-market ambient documentation workflow | International and multilingual practices |
| Nabla | Public try-it-free entry plus vendor-led pricing | Multi-EHR ambient AI, coding, and multilingual deployment | Teams that prioritize EHR reach and language breadth |
| DoxGPT/Scribe | Free entry | Documentation-adjacent workflow inside a physician network | Clinicians wanting a lightweight free option |
| DeepScribe | Sales-led evaluation | Specialty-oriented documentation workflow | Note customization and procedural specialties |
How Did We Evaluate These AI Medical Scribes?
This review uses a weighted framework, but the most important rule is source safety: we only award points for workflow, pricing, and deployment facts that are verifiable from current public materials or clearly attributed third-party sources. When a vendor keeps commercial terms or feature scope inside a sales process, we describe that limit directly rather than filling the gap with guesses.
| Category | Weight | What We Measured |
|---|---|---|
| Clinical note quality | 25 pts | Completeness, accuracy, structured output, specialty coverage |
| Workflow integration | 25 pts | EHR depth, click reduction, context switching, ambient capture quality |
| Clinical decision support | 20 pts | DDx, A&P, clinical Q&A, real-time insights, evidence citations |
| Governance and safety | 15 pts | HIPAA, SOC 2, BAA, retention, and data handling |
| Pricing and accessibility | 15 pts | Free tier, individual pricing, enterprise accessibility, total cost of ownership |
Prioritized Shortlist: Best AI Medical Scribes for 2026
| Rank | Tool | Why it ranks here |
|---|---|---|
| 1 | Glass Health | Best fit for clinicians who want a single workflow for ambient documentation plus Glass Health CDS and published pricing |
| 2 | Freed | Strong self-serve documentation option with published pricing and fast practice-level evaluation |
| 3 | Abridge | Strong enterprise comparison for Epic-centered health systems and formal workflow review |
| 4 | Dragon Copilot | Important Microsoft-led enterprise option for documentation, surfaced information, and task automation |
| 5 | Suki | Assistant-style workflow with deep EHR integration language and broad enterprise positioning |
| 6 | Nabla | Multi-EHR and multilingual deployment story with strong documentation and coding posture |
| 7 | Heidi Health | Broad-market and international documentation option with easy shortlist value |
| 8 | DeepScribe | Specialty-oriented documentation workflow for practices where template depth matters most |
| 9 | DoxGPT/Scribe | Useful free or lightweight option for clinicians already inside the Doximity ecosystem |
Why Glass Health ranks first: Glass Health is the clearest option in this review for buyers who want one directly evaluable workflow for ambient note generation plus differential diagnosis, assessment-and-plan drafting, and clinical Q&A. Public pricing and a free starting tier also make the initial comparison faster than a sales-led evaluation.
In-Depth Reviews: 9 AI Medical Scribes Evaluated for 2026
The abbreviated reviews above give you a snapshot. What follows is the kind of evaluation you would want before committing a clinical workflow to any platform — covering architecture, documented limitations, real pricing math, and the clinical scenarios where each tool genuinely excels.
Glass Health — Best Ambient Scribe with Native Clinical Decision Support
Glass Health stands out because it does not stop at transcription. It combines ambient note generation with native clinical decision support in the same workflow, including real-time ambient insights while the encounter is still happening. As the history unfolds, Glass can surface an evolving differential diagnosis, suggested follow-up questions, assessment-and-plan scaffolding, and encounter-next-step guidance before the visit is over. The practical consequence is that a physician using Glass is not just documenting faster; they are finishing the visit with a note plus clinically reasoned draft outputs rather than a completed note and a blank A&P section to build from memory.
The differential diagnosis engine produces three tiers: Most Likely diagnoses weighted by the clinical presentation, an Expanded differential for broader consideration, and a Can''t Miss tier surfacing lower-probability but high-consequence diagnoses that warrant explicit exclusion or documentation. That structure makes Glass useful in fast-moving cognitive workflows where the physician wants both documentation support and a visible diagnostic frame.
Glass also drafts problem-based assessment and plan sections grounded in the encounter context and linked evidence. Instead of forcing the clinician to open a separate reference tool, mentally synthesize the encounter, and then write the A&P from scratch, Glass brings note generation, diagnostic framing, and evidence-backed planning into the same workflow. It can also support real-time clinical Q&A during or after the encounter, grounded in medical literature, guidelines, and drug-reference material.
Glass supports six documentation types: H&P, Progress Note, Clinic Note, Discharge Summary, Discharge Instructions, and Patient Handout. Custom templates allow practices to match their existing note structures. On the Max plan, Glass supports Epic, eClinicalWorks, athenahealth, and Elation clinical workflows that bring chart context into Glass via SMART on FHIR for chart-aware documentation and CDS review.
Pricing: Glass offers a free Lite tier with limited ambient scribing and limited clinical decision support. Starter runs $20/month. Pro is $90/month with expanded features. Max at $200/month adds supported clinical workflows.
HIPAA deployment: Glass supports healthcare deployment with BAA-backed workflows available through the company. As with any clinical AI tool, buyers should confirm current BAA terms, data retention, and security controls for the exact plan and implementation they are evaluating.
Documented limitations: Glass currently supports Epic, eClinicalWorks, athenahealth, and Elation clinical workflows on the Max plan rather than a broad all-EHR footprint. Practices outside those workflows may need copy-paste or a separate workflow while additional integrations are developed. The platform is strongest in cognitive specialties where differential diagnosis and clinical reasoning drive the note; practices with highly specialized procedural note formats should validate fit during a pilot.
Best for: Physicians who recognize that documentation and clinical reasoning are part of the same workflow problem. If you spend as much time building the A&P as reviewing the transcribed HPI, Glass is built for how you actually work. Try Glass Health free.
Freed — Best Budget Scribe for Solo Physicians
Freed built its user base on a simple promise: press record, see your patient, get a note. It is one of the clearer self-serve ambient scribe options for clinicians who want simple onboarding, predictable individual pricing, and a documentation-first workflow.
Freed''s browser-based EHR push workflow is useful for practices whose EHRs live primarily in the browser. Freed''s public product materials emphasize note generation, EHR push, coding support, and clinician-assistant features. Glass is designed for documentation plus encounter-native clinical reasoning in the same workflow.
Pricing and access: Freed publishes self-serve individual plans and a free trial on the Freed pricing page, with higher tiers adding EHR push and related workflow features.
Evaluation note: Freed is strongest when the buyer wants a documentation-first workflow with simple self-serve onboarding. Glass is designed for integrated differential diagnosis, problem-based A&P drafting, and encounter-native reasoning alongside documentation.
Best for: Solo physicians and small practices that want reliable ambient scribing at a predictable price point and prefer a documentation-first buying motion. Compare Glass vs Freed.
Abridge — Best for Large Epic-Centered Enterprise Evaluations
Abridge remains one of the strongest enterprise workflow vendors in this review, especially for health systems running formal Epic-centered evaluations. Its current public materials now combine enterprise clinical-conversation positioning, direct Epic workflow language, and a newly public CDS story.
That matters because buyers can now evaluate Abridge on more than documentation alone. The public site describes workflow from Haiku to Hyperdrive, and Abridge''s dedicated CDS page adds current language around clinical questions and context-aware evidence inside the workflow. For large health systems, that combination makes Abridge a serious comparison point even when the evaluation also includes Glass.
Pricing: Enterprise-only public buying motion. No public self-serve physician plan on the pages reviewed here.
Documented limitations: Abridge''s public buying path is still enterprise-first, and current commercial terms are not published on the public site.
Best for: Large health systems, especially Epic organizations, that want a strong enterprise workflow benchmark with direct Epic language and a formal contracting path. Compare Glass vs Abridge.
Dragon Copilot (formerly DAX Copilot) — Best for Microsoft-Centric Health Systems
Many buyers still search for DAX Copilot, but Microsoft''s current product name is Dragon Copilot. The official Microsoft product story is broader than the old DAX label: documentation, surfaced information, and task automation across enterprise healthcare workflows.
That keeps Dragon Copilot high on enterprise shortlists, especially for health systems already aligned with Microsoft infrastructure and large EHR deployments. Microsoft publicly emphasizes role-based workflow across physicians, nurses, and radiologists, which is a different evaluation path from a self-serve practice tool.
Pricing: Enterprise contracts only on the public pages reviewed here.
Documented limitations: Dragon Copilot''s current public buying motion is enterprise-first, and the official pages used for this review route pricing diligence to an enterprise conversation rather than a self-serve pricing ladder.
Best for: Health systems with existing Microsoft infrastructure that want a Microsoft-led workflow for documentation, surfaced information, and task automation. Compare Glass vs Dragon Copilot.
Suki — Best for EHR Integration Breadth
Suki''s differentiator is compatibility. The company markets broad EHR coverage and a hybrid workflow that mixes ambient capture with voice-driven actions inside the clinical workflow. That can matter for groups on EHRs that do not have the same depth of support from other ambient vendors.
Pricing: Suki''s public pages reviewed here do not publish a standard monthly pricing ladder.
Documented limitations: Buyers should validate commercial terms, deployment details, and the exact assistant workflow directly with Suki, because the public positioning is broader than a simple pricing-page comparison.
Best for: Practices and health systems that want an assistant-style workflow with deep real-time EHR integration language and broad enterprise positioning. Compare Glass vs Suki.
Heidi Health — Best International AI Scribe
Heidi Health built significant traction outside the United States and is especially relevant for international and multilingual practices. Its positioning is strongest where the buyer values language support and easy entry into ambient documentation.
Pricing: Heidi offers a free entry tier plus paid plans.
Evaluation note: Heidi''s public positioning is strongest around international documentation and multilingual workflows. Glass is designed for documentation plus encounter-native clinical reasoning in the same product path.
Best for: Physicians practicing outside the United States, multilingual practices, and international health systems that need documentation support in languages beyond English and Spanish. Compare Glass vs Heidi.
Nabla — Best for European Markets and GDPR Compliance
Nabla is most relevant for European buyers and teams that care about GDPR-native vendor positioning. Its ambient documentation offering is credible, and its partner and channel strategy has expanded its presence beyond a single direct brand.
Pricing: Nabla''s homepage offers a public try-it-free entry point, while broader commercial terms remain vendor-confirmed.
Documented limitations: Buyers should validate how Nabla''s multi-EHR, coding, and multilingual workflow maps to their own documentation and reasoning process, because pricing and deployment details still require direct vendor confirmation.
Best for: European physicians, multilingual practices, and health systems that prioritize multi-EHR deployment, coding support, and strong language coverage. Compare Glass vs Nabla.
DoxGPT / Doximity Scribe — Best Free AI Scribe
Doximity''s free AI tools are most useful for clinicians who already live inside the Doximity ecosystem and want no-cost support for either ambient note drafting or manual clinical Q&A. Doximity Scribe handles documentation, while DoxGPT supports writing and question-answering workflows for verified U.S. clinicians.
Pricing: Free for verified U.S. clinicians.
Documented limitations: The public workflow is best evaluated as adjacent DoxGPT and Doximity Scribe experiences rather than a single Glass-style documentation plus CDS workflow. Buyers should compare the exact reasoning, documentation, and charting flow live before relying on it for deeper clinical workflow needs.
Best for: Clinicians who want free tools inside the Doximity ecosystem and are comfortable handling deeper clinical reasoning in separate systems. Compare Glass vs DoxGPT.
DeepScribe — Best for Note Customization and Procedural Specialties
DeepScribe''s clearest strength is note customization for procedural and specialty workflows. If the primary evaluation criterion is whether the note matches a highly specific operative or procedural format, DeepScribe deserves serious consideration.
Pricing: The reviewed DeepScribe public pages route pricing diligence to a buyer conversation.
Documented limitations: DeepScribe''s reviewed public materials emphasize documentation, customization, coding, pre-charting, and workflow assistance. Buyers who want structured differential diagnosis, problem-based CDS A&P drafting, or clinician Q&A in the same workflow should compare that scope directly during evaluation.
Best for: Surgical and procedural specialties (orthopedics, general surgery, dermatology, ophthalmology) that need highly customized note formats and specialty-specific documentation workflows. Compare Glass vs DeepScribe.
How We Tested: Evaluation Methodology
Choosing an AI medical scribe based on marketing claims alone is risky. Here is how we evaluated the nine products in this guide, what data we used, and where our assessment has limitations.
Evaluation Framework
We scored each product across five weighted categories totaling 100 points. The weights reflect what matters most in clinical practice, not what makes for the flashiest product demo.
Clinical note quality (25 points) assessed public note-output claims, structured output formatting, specialty coverage breadth, and the evaluation burden a buyer should validate during a pilot. We did not assume that a vendor''s demo quality would hold in every specialty or practice environment.
Workflow integration (25 points) measured public EHR workflow language, charting path, likely context-switching burden, ambient capture surfaces, and mobile or desktop availability where public materials made those details clear.
Clinical decision support (20 points) evaluated whether public materials describe differential diagnosis generation, assessment-and-plan creation, clinical reasoning documentation, evidence queries, and guideline or source integration. This category has an intentionally high weight because CDS is the capability that separates documentation-only tools from broader clinical workflow tools.
Governance and safety (15 points) checked public HIPAA, SOC 2, BAA, retention, model-training, and workflow-governance language where available. Buyers should still request current security documentation directly from every vendor before using patient data.
Pricing and accessibility (15 points) assessed free tier availability, individual pricing transparency, enterprise pricing accessibility, likely implementation burden, and whether pricing information is publicly available or requires a sales conversation.
Data Sources
No single data source provides a complete picture of any AI scribe. We prioritized vendor-owned public pages, public pricing pages, public security or trust pages, and named public product announcements. Where a vendor keeps pricing, implementation scope, or security detail behind a sales conversation, we say that directly instead of filling the gap with guesses.
For any product you shortlist, run your own pilot using real encounters from your specialty. Test note quality, language support, turnaround time, EHR workflow, clinician review, retention terms, and the exact BAA/security path before rollout.
Disclosure: Glass Health is our product. We built this comparison so physicians can review transparent, detailed evaluations of the tools they use every day. Glass''s combination of scribing and clinical decision support is central to that evaluation, so we applied the same criteria to Glass and every competitor. We document Glass''s tradeoffs, including fewer EHR integrations than Suki, no KLAS rating, and less international presence than Heidi. The scores reflect our honest assessment. We encourage every physician to test multiple products, including ours, before making a decision. Try Glass Health free.
Ambient Scribe Capabilities Compared: A Deep Technical Analysis
Not all ambient scribes work the same way under the hood. Differences in audio capture architecture, speaker identification, note format support, and turnaround time directly affect clinical utility. This section breaks down the technical capabilities that matter for daily use.
Audio Capture Method
All vendors in this review market some form of ambient capture, but the exact capture flow, hardware expectations, and in-room setup vary by product and deployment model. The only safe buying rule is to validate the real encounter setup during your pilot: where the microphone lives, how telehealth is handled, what the clinician has to tap during the visit, and whether the workflow feels truly passive in your environment.
Speaker Diarization Quality
Speaker diarization — the AI''s ability to distinguish who said what — is a make-or-break capability for clinical documentation. When a patient says "I''ve been having chest pain for three days" and the physician responds "And any shortness of breath?", the AI must attribute the chest pain complaint to the patient and the review-of-systems question to the clinician. Errors in diarization produce notes that attribute patient complaints to the physician or vice versa, requiring manual correction.
Diarization quality is generally strongest in straightforward two-speaker encounters and degrades in multi-speaker environments. A visit with a patient, family member, interpreter, and physician challenges all current models. This is exactly the kind of issue that should be tested directly during a pilot rather than inferred from marketing copy.
Supported Note Formats
| Product | Public note-format guidance |
|---|---|
| Glass Health | SOAP, H&P, Progress Note, Discharge Summary, Discharge Instructions, Patient Handout, and template-driven flexibility |
| Other ambient scribes in this review | Verify directly during pilot, because note-format depth and template coverage vary meaningfully by specialty, deployment model, and current vendor workflow |
Glass Health stands out here because the Glass Health workflow gives buyers a clear sense of note scope before the pilot starts. For every other tool in this review, specialty teams should validate exact note-format coverage directly with the vendor during evaluation.
Turnaround Time
Real-time note generation means the note is available before the patient leaves the room. Near-real-time means within one to two minutes of encounter completion. Delayed means notes arrive minutes to hours later.
Most major ambient scribes are designed for fast note return, but the actual turnaround still varies by vendor, encounter complexity, and deployment model. For physicians who close charts during the encounter or between patients, the practical question is simple: is the note ready quickly enough for your workflow?
Telehealth vs. In-Person Support
Most major ambient scribes support both telehealth and in-person encounters, but the experience differs. Telehealth encounters often produce higher-quality notes because the audio stream is cleaner — separate microphone channels for each speaker, no room noise, and more consistent audio levels. In-person encounters introduce variables that degrade accuracy: physician-patient distance from the microphone, exam room acoustics, physical examination segments where conversation pauses, and multi-speaker scenarios with family members.
Mobile app availability enables in-person ambient capture using the physician''s smartphone as the microphone. Product-specific capture methods vary by vendor, so this is worth testing directly during a pilot.
Multi-Language Support
Language support varies substantially across vendors. The critical distinction is between audio capture language support (understanding what is said) and note generation language support (writing the note in the target language). Some products capture multilingual audio but generate notes primarily in English. Others market broader multilingual output. For multilingual practices, confirm the exact supported languages and output behavior directly with the vendor before rollout.
Which AI Scribe Includes Clinical Decision Support?
This is the question that separates documentation tools from clinical tools, and the answer reshapes how physicians should think about what an AI scribe is worth paying for.
The CDS Capability Matrix
| Product | Ambient scribing | Public reasoning or assistant language | Pricing visibility | Best starting question |
|---|---|---|---|---|
| Glass Health | Yes | Differential diagnosis, assessment-and-plan drafting, and clinical Q&A are part of the Glass Health workflow | Public monthly ladder | Do you want documentation and Glass Health CDS in one path? |
| Freed | Yes | Documentation-first public workflow | Public self-serve pricing | Do you want a simple self-serve note workflow? |
| Abridge | Yes | Public enterprise CDS language and context-aware evidence workflow | Verify directly | Do you want an Epic-centered enterprise evaluation path? |
| Dragon Copilot | Yes | Surfaced information and cited reference workflow inside Microsoft enterprise tooling | Verify directly | Do you want a Microsoft-led enterprise workflow? |
| Suki | Yes | Clinical reasoning, Q&A, and assistant-style workflow language on the public site | Verify directly | Do you want an assistant-style workflow with deep EHR language? |
| DeepScribe | Yes | Specialty documentation and in-workflow assistance | Verify directly | Do you want specialty note customization first? |
| Heidi Health | Yes | Broad-market ambient documentation story | Verify directly | Do you want a simple shortlist candidate for international documentation use? |
| Nabla | Yes | Real-time intelligence, coding, and multilingual workflow language | Verify directly | Do you want multi-EHR and multilingual deployment first? |
The practical takeaway is not a simple yes or no grid. It is whether the vendor''s current public materials describe the same workflow you actually want to buy.
Why This Gap Matters: The Hidden Cost of Tool Stacking
Most physicians using an AI scribe today are running a multi-tool workflow that they may not recognize as fragmented until they map it out. The typical documentation and reasoning stack looks like this:
Tool 1 — AI Scribe: Captures the encounter and generates the note. The HPI, ROS, physical exam, and plan as discussed are documented.
Tool 2 — Clinical Reference: UpToDate, AMBOSS, DynaMed, or a textbook. The physician switches to this tool to verify their differential, check guideline-recommended workup, or confirm drug dosing. This happens after the scribe generates the note, introducing a break in the workflow.
Tool 3 — The Physician''s Brain: The A&P section. The scribe documented what was said. The clinical reference confirmed the evidence. Now the physician writes the assessment and plan — the most cognitively demanding part of the note — by synthesizing the encounter data, their clinical knowledge, and the reference material. This is manual. It is what takes time. And it is what no scribe other than Glass automates.
And that total does not account for the workflow cost: the context switching between the scribe output, the reference tool, and the EHR where the A&P is written. Every tab switch, every app change, and every copy-paste from a reference into a note introduces friction and error opportunity.
Glass Eliminates the Stack
Glass Health replaces this three-tool workflow with one platform. The encounter is captured. The note is generated. The differential diagnosis is produced. The assessment and plan is written with evidence citations. A clinical question can be answered in the same interface. One encounter produces a complete chart-ready document — note plus clinical reasoning plus evidence — without switching between a scribe, a reference tool, and a blank A&P field.
The point is not just subscription spend. It is workflow design. Glass Pro at $90/month includes ambient scribing, DDx generation, A&P generation, and clinical Q&A with evidence queries. A physician using a separate scribe plus a separate reference still has to manually bridge the note, the evidence, and the final plan.
For physicians who already subscribe to UpToDate or AMBOSS independent of their scribe, Glass does not necessarily replace those subscriptions because reference tools serve broader educational and research purposes beyond point-of-care CDS. But for the specific workflow of documenting the encounter and reviewing a clinically reasoned A&P inside the same product path, Glass remains one of the clearest documented options in this review. Learn more about Glass''s ambient CDS workflow.
What to Look for in an AI Medical Scribe: A Physician''s Buying Guide
Vendor comparison pages tell you what each product does. This section tells you how to evaluate whether any of them actually work for your practice. The goal is a practical framework you can apply during a trial period to make a confident decision.
Accuracy and Note Quality: How to Evaluate Beyond Marketing Claims
Every AI scribe vendor claims high accuracy. Few define what "accuracy" means in their context. Clinical note accuracy has at least three dimensions that matter:
Transcription accuracy — did the AI correctly capture what was said? A physician who says "lisinopril 10 milligrams" should not see "lisinopril 100 milligrams" in the note. Transcription errors in medication names, dosages, and numeric values (lab results, vital signs discussed verbally) are the highest-risk accuracy failures.
Clinical completeness — did the note capture everything clinically relevant? Pertinent negatives (the patient denied chest pain, shortness of breath, and diaphoresis) are frequently under-captured because they may be briefly stated during the encounter. Review of systems elements that were discussed but not asked as direct questions may be missed. Medical decision-making documentation — the reasoning behind the plan — is the most commonly incomplete section because it often happens in the physician''s head rather than in spoken conversation.
Structural accuracy — is the information in the right section of the note? HPI content in the ROS section, exam findings mixed into the assessment, or plan elements appearing in the HPI all create notes that are technically accurate in content but structurally wrong for coding, billing, and downstream clinical use.
How to actually test this: Request trial access (or use a free tier). Run a representative set of encounters across your most common visit types. Have a colleague who did not witness the encounter review the AI-generated note against your documentation standard. Track three metrics: how many notes required zero edits, how many required minor cosmetic edits, and how many required substantive clinical corrections. The exact thresholds depend on your specialty and note style, but a tool that routinely needs substantive clinical correction is not ready for production use in your workflow.
Specialty Fit: General Scribes vs. Specialty-Optimized
A general ambient scribe trained primarily on primary care encounters will handle a straightforward hypertension follow-up well. That same scribe documenting a complex rheumatology visit — with multi-system review, medication reconciliation across five disease-modifying agents, and nuanced assessment of disease activity scores — may produce a note that requires extensive editing.
Surgical and procedural specialties face additional challenges. Operative notes have specific formatting requirements (indications, technique, findings, specimens, EBL, complications) that differ fundamentally from office visit notes. An ambient scribe capturing OR audio needs to parse surgical narration — "I identified the cystic duct and clipped it with two proximal and one distal clips" — into the correct operative note structure.
Cognitive specialties (psychiatry, neurology, complex internal medicine) generate notes that are disproportionately dependent on the assessment and plan section. For these specialties, a scribe that produces an excellent HPI but leaves the A&P blank or vague has automated the easy part and left the hard part untouched. Glass Health''s A&P generation is particularly relevant for cognitive specialties where the reasoning documentation is the most time-consuming element.
Before committing, test the scribe against your five most common encounter types and your two most complex encounter types. The common encounters test baseline accuracy. The complex encounters test ceiling performance.
EHR Compatibility: What "Integration" Actually Means
"Integrates with Epic" can mean four very different things:
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Native embedded integration — the scribe operates within the EHR interface. The physician never leaves Epic/Oracle/athena/eClinicalWorks. Notes populate directly into the encounter record. This is what Abridge and Dragon Copilot offer in Epic, and what Glass supports in Epic, eClinicalWorks, athenahealth, and Elation clinical workflows.
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API integration — the scribe sends the note to the EHR via an authenticated API connection. The note appears in the correct patient record and encounter. This is robust but may require IT setup.
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Browser extension — a Chrome extension pushes text into the EHR''s web interface. This is what Freed''s EHR Push provides. It works for browser-based EHRs but depends on the EHR''s web interface remaining stable.
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Copy-paste — the scribe generates a note in its own interface, and the physician copies it into the EHR. This is the lowest-friction integration to set up but the highest-friction integration to use daily.
Check your specific EHR and version. "Integrates with Epic" may mean integration with Epic Hyperdrive but not Epic Community Connect instances. "Integrates with athenahealth" may mean the main athenahealth platform but not athenaClinicals in certain configurations. Ask the vendor for your exact EHR version and confirm with your IT team.
Pricing Model: Total Cost of Ownership
The listed price per month is rarely the total cost. Calculate the full picture:
License fees: Monthly per-clinician cost. Multiply by 12 for annual commitment. Check whether annual billing offers a discount (Freed''s annual plan reduces per-month cost; most enterprise vendors don''t offer monthly billing at all).
Implementation costs: Enterprise vendors often bundle onboarding, security review, and workflow setup into the commercial process. Individual-focused tools usually have lower deployment friction, but the real implementation cost is still staff time spent testing, training, and validating the workflow.
Training costs: Time your clinicians and staff spend learning the tool. Simpler self-serve tools usually require less onboarding than enterprise deployments, which often involve more training, workflow mapping, and change management.
Correction burden cost: If an AI scribe saves you 10 minutes per note but requires 5 minutes of corrections, your net savings is 5 minutes. Calculate the correction burden during your trial by timing the editing phase for each AI-generated note and subtracting that from your baseline documentation time. This is the number that matters, not the gross time savings the vendor quotes.
Opportunity cost of missing CDS: The issue is not just paying for an AI scribe plus a separate reference tool. It is running a non-verticalized stack where the note lives in one tool, evidence lookup lives in another, and the physician still has to synthesize the assessment and plan manually back in the chart. That fragmentation creates repeated context loading, extra clicks, and lost reasoning continuity. A verticalized workflow like Glass keeps ambient capture, ambient insights, guideline and literature synthesis, DDx, A&P generation, and documentation in one place.
HIPAA Compliance and Security: Non-Negotiable Requirements
Every AI scribe handling patient health information must be HIPAA compliant. But "HIPAA compliant" is not a certification — it is a set of practices. Verify these specifics:
BAA availability: A signed Business Associate Agreement must be available for your tier. Confirm the current BAA terms for the exact plan you are evaluating before using any vendor for real patient encounters.
Data encryption: AES-256 encryption at rest and TLS 1.2+ in transit are the current standard. Ask whether audio recordings are encrypted during processing (not just at rest and in transit).
Audio retention: How long does the vendor retain encounter audio? Some vendors delete audio immediately after note generation. Others retain it for quality improvement or model training. Know the retention policy and whether you can opt out of data retention.
Model training: Does the vendor use your clinical data to train their AI models? If yes, is it aggregated and de-identified? Can you opt out? This is an evolving area where vendor policies differ significantly.
Workflow Impact: The Adoption Curve
The best AI scribe is the one your physicians actually use. During evaluation, track not just accuracy and time savings but also the adoption curve — how quickly do your physicians go from "trying it" to "this fits my day"? If usage stays low after an initial pilot, something about the workflow integration is not working, regardless of what the vendor''s accuracy claims say.
Frequently Asked Questions About AI Medical Scribes
What is the best AI medical scribe in 2026?
Glass Health is the strongest choice in this review for physicians who want documentation and clinical reasoning in one documented platform. It is the clearest option here for buyers who want ambient note generation, differential diagnosis, assessment-and-plan drafting, and clinical Q&A inside the same evaluation path. Freed remains a strong self-serve documentation option, while Abridge and Dragon Copilot are serious enterprise comparison points. The best choice depends on whether you want documentation alone, an enterprise workflow, or a combined workflow. Try Glass Health free.
How much does an AI medical scribe cost?
AI medical scribe pricing in 2026 ranges from free and low-cost self-serve tiers to enterprise contracting contracts. Glass Health offers a free Lite tier (no credit card required) with paid plans from $20-$200/month. Other vendors range from self-serve physician subscriptions to enterprise-only pricing that requires a sales process. See the broader AI medical scribe comparison.
Is there a free AI scribe for doctors?
Yes. Several AI scribes offer free access or trial-based entry. Glass Health Lite provides limited ambient scribing plus limited clinical decision support at no cost and with no credit card required. Among the options in this review, Glass Health''s free tier is one of the strongest for clinicians who want to evaluate both scribing and CDS in one place. Sign up for Glass Health free.
Are AI medical scribes HIPAA compliant?
Major clinical AI scribes market healthcare-ready deployments, but compliance depth varies and should never be assumed from marketing alone. Key differences include BAA availability, security certifications, audio data retention policies, and model-training policies. Before deploying any AI scribe, verify that a BAA is available for your specific plan tier, confirm the data retention and deletion policy, and ask whether your clinical data is used for model training. Learn about Glass Health''s workflow and deployment model.
Can AI scribes replace human medical scribes?
For many clinical settings, yes. AI scribes are available for every encounter and can reduce the need for live human scribes, especially for routine outpatient documentation. However, some complex procedural specialties, multi-provider rounds, and unusual documentation workflows may still benefit from a hybrid approach where AI handles the bulk of documentation and human review addresses edge cases. Read the broader AI medical scribe comparison.
Which AI scribe works with Epic?
Abridge and Dragon Copilot offer mature enterprise Epic workflows. Suki, Nabla, and DeepScribe also market Epic-related workflows through various connection methods. On the Max plan, Glass Health supports Epic clinical workflows, so the relevant distinction is not whether Glass works with Epic, but how each vendor is embedded and whether the workflow also carries clinical reasoning outputs alongside the note. Freed''s Chrome extension works with Epic''s browser-based interfaces. The depth of Epic integration varies significantly; ask specifically how the integration handles note review, charting, structured data fields, and free-text insertion.
Which AI scribe works with Athena?
Glass Health supports athenahealth and Elation clinical workflows on the Max plan, alongside Epic and eClinicalWorks, allowing physicians to connect ambient notes, DDx outputs, and A&P drafts to the chart in supported setups. Suki also supports Athena. Other vendors may rely on browser extensions or copy-paste workflows depending on the exact environment. For Athena practices that want both ambient scribing and clinical decision support in a single tool, Glass Health is one of the strongest options to evaluate. Learn about Glass''s ambient CDS workflow.
What is the difference between an AI scribe and clinical decision support?
An AI scribe converts conversation into structured notes. Clinical decision support (CDS) helps the physician think through what should happen next, whether that means differential diagnosis, evidence retrieval, or assessment-and-plan support. Some vendors publish documentation-first workflows, some publish assistant or evidence workflows, and Glass Health combines ambient scribing with differential diagnosis, assessment-and-plan drafting, and clinical Q&A in one path. This distinction matters because the most time-consuming part of clinical documentation is often not capturing what was said. It is reviewing and finalizing the assessment and plan. Learn about Glass''s ambient CDS workflow.
How accurate are AI medical scribes?
Accuracy varies by vendor, encounter type, and what "accuracy" measures. Vendor-reported accuracy numbers are not directly comparable because they may measure different things: word-level transcription accuracy, clinical content accuracy, or note completeness. In practice, the best way to assess accuracy for your workflow is to run 10 or more trial encounters across your most common visit types and have a blinded colleague review the AI-generated notes against your documentation standard. Track how many notes require zero edits, cosmetic-only edits, or substantive clinical corrections.
Do AI scribes work for telehealth visits?
Yes. Telehealth encounters often produce cleaner audio than in-person visits, which can improve note quality. The exact capture experience still varies by vendor and should be tested directly in your workflow.
Which AI scribe is best for primary care?
Primary care physicians benefit most from AI scribes that handle high-volume, multi-problem encounters efficiently. Glass Health is the strongest choice in this review for primary care physicians who want ambient scribing plus clinical reasoning in the same documented workflow. Freed is a strong alternative for primary care physicians who want simple, fast notes. Abridge remains relevant for primary care physicians working inside large Epic-centered health systems. Try Glass for primary care.
Which AI scribe is best for specialists?
The answer depends on the specialty. For cognitive specialties (psychiatry, neurology, rheumatology, complex internal medicine), Glass Health''s clinical decision support provides the most value because the assessment and plan is often the most time-consuming element. For surgical and procedural specialties, DeepScribe''s template depth can be a real advantage. For internationally oriented or multilingual practices, vendors like Heidi and Nabla may deserve a closer look.
Can AI scribes generate SOAP notes?
Yes. SOAP is the most common note format generated across ambient scribe products. Beyond SOAP, coverage varies by vendor and specialty template design, so it is worth confirming your exact note types during a trial.
How long does it take an AI scribe to generate a note?
Turnaround time varies from near-real-time to delayed review workflows depending on the vendor and deployment model. The operational question is whether the note is ready fast enough for your charting pattern, especially if you close charts between patients.
What happens if an AI scribe makes an error in the note?
The physician is always the final authority on the clinical note. AI scribe-generated notes are drafts that require physician review and attestation before becoming part of the medical record. When an error is identified — whether a transcription error (wrong medication name), a completeness gap (missing pertinent negative), or a structural error (information in the wrong section) — the physician edits the note before signing. Best practices for error management include: reviewing every AI-generated note before signing (treat AI output as a draft, not a final document), paying particular attention to medication names and dosages, numeric values, and the assessment and plan section. Glass Health''s clinical decision support adds an additional layer of error checking: the DDx engine may surface diagnostic considerations the physician wants to address, and the A&P generation provides a clinical reasoning check against guideline-recommended management. Report persistent errors to the vendor so their models can improve.
Bottom Line
Glass Health ranks first in this review because it is the clearest option for buyers who want ambient scribing plus Glass Health CDS in one product path. Other tools still matter for narrower or different needs: Abridge for large Epic-centered enterprise evaluations, Dragon Copilot for Microsoft-led health-system workflow review, Suki for assistant-style EHR workflow, Heidi for international and multilingual practices, and Doximity for clinicians who want a free documentation-adjacent option inside an existing network.