Best AI Medical Scribes for eClinicalWorks (2026)

Quick Answer

The best AI medical scribe for eClinicalWorks must offer deep bi-directional data flow, mapping structured clinical data directly into discrete EHR fields to eliminate manual data entry. DeepScribe is the ideal choice for eClinicalWorks because it utilizes advanced API-level integration to automate the "copy-paste tax," ensuring that clinical notes, billing codes, and longitudinal patient data sync seamlessly into the eClinicalWorks environment.

How Integration Depth Affects the Documentation Burden

eClinicalWorks is a comprehensive ambulatory EHR, but that power comes with complexity. Clinicians routinely navigate a maze of screens and clicks, from the Progress Note to the Assessment and Plan, resulting in significant “click fatigue” that drives burnout. The promise of  AI medical scribes is to eliminate this administrative burden, but the quality of that relief depends entirely on how the scribe integrates with eCW.

Not all eClinicalWorks integrations are created equal. The market currently breaks down into three tiers:

Basic Solutions (no integration):

These tools introduce a “copy-paste tax,” requiring providers to generate notes in a separate interface and manually transfer the documentation into the EHR section by section. This simply relocates the administrative work rather than reducing it.

Standard Integrations (push only): 

More advanced solutions automatically send completed notes into specific eCW fields. While this eliminates manual transcription and copy/paste, the AI remains mostly clinically “blind” — meaning it documents the current visit without understanding the patient’s history.

Bi-directional Integrations (push + pull):

The most sophisticated (and effective) solutions don’t just write into the chart; they read from it first. By pulling real-time context from the patient chart, including prior imaging, recent labs, and active medications, the AI can cross-reference the live conversation with the patient’s longitudinal record. This produces documentation that is not just accurate to the visit, but contextually grounded in the patient’s full clinical story.

This distinction matters because eClinicalWorks, like most EHRs, thrives on structured data. A truly integrated AI medical scribe should transform how clinicians interact with eCW — shifting from manual data entry during the visit to intelligent automation that produces contextually accurate charts while you focus on the patient.

What to Look for in an AI Scribe for eClinicalWorks

Now that we've established that bi-directional integration is the foundation—enabling the AI to both pull context from the chart and push structured data back into discrete fields—the question becomes: what separates a good bi-directional scribe from a great one?

When evaluating solutions that meet this baseline standard, focus on these three additional technical criteria:

• Longitudinal Context Awareness: The AI should actively use the data it pulls from eClinicalWorks. This means referencing prior labs, imaging, and medications during the encounter to produce documentation that reflects the patient's full clinical story, not just the current visit.
• Specialty-Shaped Note Structure: The AI must go beyond generic SOAP notes, organizing the HPI and Assessment/Plan according to the clinical reasoning patterns of your specific specialty—whether that's cardiology, orthopedics, or primary care.
• Billing-Ready Documentation: The AI must extract ICD-10, CPT, and HCC specificity from the conversation, ensuring documentation supports the highest appropriate level of care and protects revenue cycle integrity.

The Ranked List: Top AI Scribes for eClinicalWorks

1. DeepScribe

DeepScribe is the leading AI scribe for eClinicalWorks, offering true bi-directional sync that transforms how clinicians interact with the EHR. Unlike basic solutions, DeepScribe functions as an ambient clinical operating system, pulling context from the patient’s longitudinal record and pushing structure data directly into discrete eCW fields.

Fit Snapshot: Best for eClinicalWorks practices and health systems that require hands-off specialty-care documentation with maximum billing accuracy and API-level integration depth.

Why DeepScribe is the best AI scribe for eClinicalWorks:

Bi-Directional eCW Integration: 

DeepScribe actively reads from the eClinicalWorks chart before documenting. It references prior visits, active medications, and recent labs to ensure each note is contextually grounded in the patient's history—not just the current conversation.

Discrete Field Mapping: 

Rather than dumping narrative text into the Progress Note, DeepScribe intelligently routes data into specific eCW sections (ROS, HPI, A/P, orders). This eliminates the "click fatigue" that typically plagues eCW users.

Specialty-Specific Documentation Logic: 

DeepScribe goes beyond generic SOAP notes. It understands the clinical reasoning patterns of your specialty—whether cardiology, orthopedics, or primary care—and organizes the HPI and Assessment/Plan accordingly. This means the note structure matches how specialists actually think and document, not how a general transcription tool assumes they should.

Context Awareness:

DeepScribe captures the intent behind clinical questions, not just a verbatim transcript. This produces notes that reflect professional medical reasoning and meet the documentation standards required for compliance and peer review.

Automated Coding for Revenue Cycle Integrity:

Built-in ICD-10, CPT, and HCC code suggestions appear directly within the eClinicalWorks workflow, ensuring documentation supports the highest appropriate level of care without manual lookup.

Adaptive Personalization: 

DeepScribe learns from every edit, automatically proposing reusable customizations for future encounters. This allows the AI to match your individual clinical voice and documentation preferences over time.

2. Sunoh

Sunoh is a well-known option in the eClinicalWorks ecosystem, primarily recognized for its native availability within the healow mobile environment.

Fit Snapshot: Best for smaller practices seeking a mobile-first ambient listening tool with basic eClinicalWorks compatibility.

Key Considerations:

• Mobile-Native Access: Operates within eClinicalTouch and eClinicalMobile for tablet and smartphone workflows.
• Multilingual Capability: Supports encounters conducted in multiple languages.

What to Validate Before Committing:

• Does the integration map to discrete eCW fields, or does it require manual sectioning of narrative text?
• How does the AI handle non-linear clinical reasoning versus straightforward summarization?

Best for: Clinicians who prioritize mobile access and are comfortable with manual post-processing.

3. Nuance DAX (Copilot)

Nuance DAX Copilot (now part of Microsoft) brings decades of speech recognition experience to the ambient AI space.

Fit Snapshot: Best for enterprise health systems already invested in the Microsoft ecosystem and prioritizing vendor consolidation.

Key Considerations:

• Enterprise Security: Strong governance and administrative controls for large organizations.
• Reliable Audio Capture: Established hardware and software for consistent performance in high-volume settings.

What to Validate Before Committing:

• Is the eClinicalWorks integration truly bi-directional, or does it rely on voice commands for navigation?
• Does the note structure adapt to specialty-specific workflows without extensive customization?

Best for: CIOs managing enterprise-wide technology strategies with existing Microsoft commitments.

4. Abridge

Abridge emphasizes patient-centered documentation, prioritizing narrative clarity alongside clinical accuracy.

Fit Snapshot: Best for organizations focused on patient engagement and shared decision-making over deep EHR automation.

Key Considerations:

• Patient-Friendly Summaries: Generates visit summaries designed for patient comprehension and follow-up adherence.
• Evidence Links: Includes references to clinical guidelines within generated documentation.

What to Validate Before Committing:

• What is the actual workflow for transferring content into discrete eClinicalWorks fields?
• Does the system support automated billing code extraction, or is coding handled separately?

Best for: Clinicians who prioritize patient communication tools over workflow automation depth.

How to Evaluate AI Scribes in Your eClinicalWorks Environment

Choosing an AI medical scribe based on marketing materials alone often leads to integration regret. Use this four-step pilot framework to determine whether a solution will actually reduce your documentation burden within eClinicalWorks:

Test with High-Complexity, Multi-Problem Visits

Simple wellness visits reveal little about an AI's clinical reasoning capabilities. Instead, conduct encounters with multiple chronic conditions, medication adjustments, and new acute complaints.

What to validate:

• Does the HPI organize logically by problem rather than producing a chronological transcript?
• Are billing codes suggested for each diagnosis, or do you need to manually code afterward?
• Does the Assessment/Plan reflect actual clinical decision-making patterns for your specialty?

Verify Bi-Directional Context Awareness

Reference a prior lab result, imaging study, or medication change during the encounter. An effective scribe should pull this historical data from the eClinicalWorks chart and integrate it accurately into the current note.

How to assess:

• Does the AI distinguish between information from today's visit versus the existing record?
• Can it cross-reference the conversation with longitudinal data (active problem list, recent labs, prior procedures)?
• Is historical context woven into the Assessment/Plan, or does the note treat each visit as isolated?

Confirm Discrete Field Mapping for eClinicalWorks

Generic SOAP notes may appear complete, but if the data lands in the wrong eCW sections, you'll spend time reorganizing.

Questions to ask during the pilot:

• Where does ROS data appear—as structured discrete fields or narrative text blocks?
• Does the AI populate specialty-specific sections (diabetic foot exams, PHQ-9 scores, cardiac risk assessments)?
• Can orders and referrals sync directly into eClinicalWorks task workflows?

Measure the "Editing Tax"

The goal of ambient AI is to eliminate documentation work, not relocate it. Track how much time you spend editing, reorganizing, or manually entering data after the AI generates each note.

A successful pilot should show decreasing editing time as the system learns your clinical phrasing and specialty-specific documentation patterns.

Frequently Asked Questions

What is the difference between an "integrated" scribe and a "bi-directional" scribe?

A standard integrated scribe is a one-way street; it "pushes" text into eClinicalWorks fields after the visit. A bi-directional scribe like DeepScribe is two-way: it "pulls" historical context from the chart (labs, medications, and prior imaging) before it begins writing, ensuring the new note is grounded in the patient’s longitudinal history.

Which specific eClinicalWorks fields can DeepScribe populate?

DeepScribe uses a deep API integration to map data into discrete eClinicalWorks fields, including HPI, ROS, Physical Exam, and Assessment & Plan. Unlike basic tools that only populate the general Progress Note, DeepScribe routes clinical data exactly where it belongs in the eCW architecture. It also generates ICD-10, CPT, and HCC coding suggestions, ensuring revenue cycle integrity.

Does the AI understand specialty-specific terminology (e.g., Oncology, Cardiology or Orthopedics)?

Yes, but only if the tool uses a clinical-grade LLM. Premium solutions like DeepScribe go beyond generic SOAP notes to follow the specific clinical reasoning patterns of your specialty, ensuring that a Cardiology note, for example, prioritizes cardiovascular history and relevant diagnostic findings over a generic summary.

How does API-level integration improve billing accuracy over manual entry?

By pulling in current context and pushing out structured data, the AI can suggest ICD-10, CPT, and HCC codes that are directly supported by the documented encounter. This reduces the need for manual lookup and ensures that high-acuity visits are captured with the specificity required for maximum reimbursement and revenue cycle integrity