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How to Add an AI Scribe to Exscribe EHR

How to Add an AI Scribe to Exscribe EHR

Exscribe has no native scribe. See which orthopedic tools capture ROM and laterality—and which platforms submit correctly lateralized claims automatically.

Exscribe has no native scribe. See which orthopedic tools capture ROM and laterality—and which platforms submit correctly lateralized claims automatically.

You run an orthopedic practice on Exscribe, the orthopedic-specialty EHR now part of ModMed, and documentation is heavy in a way general medicine is not: named special tests, range of motion in degrees, strict left-right laterality, and procedure notes on top of clinic visits. Physicians spend close to two hours on the EHR and deskwork for every hour of direct patient care [1], and log about 86 minutes of nightly "pajama time" finishing charts [2].

Here is the fact worth knowing up front: the Exscribe platform does not have its own ambient AI scribe, so adding one means a third-party tool. This guide covers how a scribe connects to Exscribe, what orthopedic documentation demands, a step by step rollout, and the tools worth shortlisting.

Key Takeaway

The Exscribe platform does not have a native ambient AI scribe, so you add a third-party HIPAA-compliant tool (its ModMed sibling EMA has a native scribe, but that is a separate platform). Orthopedic-tuned scribes like DeepScribe and DeepCura document special tests, ROM, and laterality well. A workforce platform goes further: Sully.aiintegrates with Exscribe and adds an AI Coder that submits clean, correctly lateralized claims, plus scheduling and triage.

What an AI Scribe Adds to the Exscribe Workflow

An AI scribelistens to the visit and turns the conversation into a structured note. The surgeon stays with the patient. The scribe drafts the note in seconds, and the provider reviews it instead of typing it.

Orthopedic documentation is harder than a general SOAP note, because the record has to capture named special tests, ROM in degrees, and unambiguous laterality. The numbers below are the burden a scribe is meant to remove.


Chart 1: The Documentation Burden

The difference on Exscribe is that there is no native scribe on the platform to turn on. So the whole decision is which outside tool to add and how far past the note it goes.

Ambient Documentation Versus Manual Charting

The old flow is typing laterality-heavy orthopedic notes in Exscribe during or after the visit. Either way the provider is still doing data entry.

The ambient flow is listen, draft, review, sign, and ambient scribes have cut documentation time in multi-site studies [7]. The orthopedic nuance that matters is capture quality: the tool has to get named special tests, ROM in degrees with contralateral comparison, and left-right laterality right [4]. And the question that decides real value is what happens after the note, across coding, claims, and imaging and surgery scheduling.

Exscribe Has No Native Scribe on the Platform, So You Add One

Exscribe is part of ModMed, whose flagship orthopedic EHR, EMA, has a native ambient scribe, ModMed Scribe 2.0. But that is a different platform, and the Exscribe platform itself does not include a native scribe [3].

So on Exscribe the choice is a third-party scribe now, or a migration to EMA for the native one. This guide focuses on adding a scribe to Exscribe, and the decision is which third-party tool, and how deeply it connects.

How AI Scribes Connect to Exscribe

There are three routes: an orthopedic-tuned third-party scribe, a lightweight cross-EHR scribe, or a workforce platform. The depth decides how much of the surrounding work a tool removes.

The key distinction: documenting the visit and handling the work around it are different jobs, and in orthopedics that work around it is coding-sensitive and procedure-heavy.

Integration type

Documents the visit

Ortho documentation depth

Beyond the note

Connection

Orthopedic-tuned scribe

Yes

Special tests, ROM, laterality

Coding suggestions

Integration or overlay

Lightweight cross-EHR scribe

Yes

Configurable

None

Overlay

Workforce platform

Yes

General plus submits claims

Claims, scheduling, triage

Deep integration

Orthopedic-Tuned Scribes

DeepScribe and DeepCura are ambient scribes with genuine orthopedic depth: named special tests, ROM in degrees, laterality, and lateralized ICD-10 and CPT suggestions [4][5].

These document orthopedic visits well, and they earn their place for capture quality. The tradeoff is that they document and suggest codes, and most ambient scribes are built for clinic encounters rather than operative notes, so they stop at the note.

Lightweight Cross-EHR Scribes

Freed and Suki are cross-EHR scribes for lean teams, fast to start and simple to run [6].

These are good when speed and low friction matter most. The tradeoff is less orthopedic tuning out of the box, and they stop at the note.

Workforce Platforms

The broadest tier. A workforce platform integrates with Exscribe and adds agents across the visit and everything around it.

Sully.ai integrates with Exscribe once, and then its agents share that connection: the AI Scribe documents, the AI Coder submits clean claims, the AI Receptionisthandles imaging and surgery scheduling, and the AI Triage Nurse runs intake and post-op follow-up. This is the option that goes past the note.

How to Add an AI Scribe to Exscribe Step by Step

Five steps take you from decision to a validated note in the chart.

1. Confirm Your Exscribe Setup and Goals

Confirm you are on the Exscribe platform and identify the owner. Decide what you want: a better orthopedic note, which points to an ortho-tuned scribe, or the work after the note, clean lateralized claims plus scheduling and triage, which points to a workforce platform.

That goal determines the route.

2. Choose Your Integration Method

Map the methods to that goal. An ortho-tuned scribe gives you deep orthopedic documentation. A lightweight scribe is fast and simple. A workforce platform handles claims, scheduling, and triage through one integration.

The decision rule: if you want the deepest ortho note, an ortho-tuned scribe gets you there. If you want clean, correctly lateralized claims and the work after the note handled, you need a workforce platform.


Chart 2: Exscribe Scribe Options Compared on Scope and Reach

3. Connect the Scribe

Have the vendor integrate with your Exscribe environment [4][5]. For operative documentation, confirm the tool actually supports it, since many ambient scribes are built for clinic encounters and do not.

Whichever route you pick, two things are non-negotiable before any patient audio is recorded: a signed BAA and HIPAA-compliant data handling.

4. Map Notes and Coding to Exscribe

Configure how notes land in the right Exscribe fields, and critically how laterality and modifiers attach so the codes are correct. A scribe drafts and may suggest codes; a workforce platform writes coded, claim-ready data and submits it.

Verify it on a laterality-heavy visit and, if relevant, an operative note, not a generic demo.

5. Pilot on Clinic and Procedure Visits, Measure, and Scale

Pilot across clinic and, if the tool supports it, procedure documentation. The hardest note is the one that reveals gaps.

Confirm special tests, ROM, and laterality are captured correctly, measure the time saved [7], and measure the work after the note: are claims correctly lateralized and clean, is scheduling handled. Validate before a practice-wide rollout.

What to Look For in an Exscribe AI Scribe

Four criteria separate the tools on the shortlist.

Orthopedic Documentation Fit

Special tests, ROM in degrees, and strict laterality are the orthopedic bar. DeepScribe and DeepCura are tuned for it [4][5], and any tool you consider has to prove it on a real orthopedic visit rather than a generic demo.

Ask specifically about operative-note support, since most ambient scribes are built for clinic encounters.

Correct, Lateralized Coding and Claims

Orthopedic coding is laterality- and modifier-sensitive, so a wrong or missing -LT or -RT modifier can sink a claim. A scribe suggests codes; submitting the claim is a separate job.

This is where orthopedic revenue is won or lost. Sully's AI Coder extracts every ICD-10 and CPT code and submits clean claims through one integration, so the visit turns into a correctly lateralized claim rather than a note someone bills later.

The Work Around a Procedure-Heavy Practice

Imaging, surgery scheduling, reminders, and post-op follow-up are constant in orthopedics. A scribe documents; it does not schedule the MRI or the OR.

Sully adds an AI Receptionist and an AI Triage Nurse for exactly this work, so the scheduling and follow-up around a procedure-heavy practice do not fall back on staff.

Security and HIPAA Compliance

The non-negotiables: HIPAA compliance, a signed BAA, encryption and de-identified PHI handling, MFA, SSO, role-based access, and clear retention controls.

Keep the review practical. Ask where audio is processed, how long recordings are retained, who can access transcripts, and whether the vendor will sign your BAA before the pilot starts.

Best AI Scribes for Exscribe

Five options worth shortlisting. The Exscribe platform has no native scribe, so these are all third-party.


Chart 3: AI Scribes for Exscribe Feature Comparison

1. Sully.ai

Sully.ai starts as a strong ambient scribe and extends into a coordinated AI workforce that integrates with Exscribe through a single integration. The AI Scribe documents the visit, then the AI Coder extracts ICD-10 and CPT codes and submits clean claims, the AI Receptionist handles imaging and surgery scheduling, and the AI Triage Nurse runs intake and post-op follow-up.

Three things set it apart on Exscribe. First, it submits the claim rather than only suggesting codes, which matters most in orthopedics where laterality and modifiers decide payment. Second, it adds the patient-facing agents a scribe does not, the scheduling and follow-up a procedure-heavy practice runs on. Third, it is one connected workforce with cross-EHR breadth and proven scale: Sully integrates with Exscribe and also with Epic, Cerner, Meditech, Athenahealth, and more than 20 other EHRs, across 5,000+ providers and 50M+ hours of AI work delivered. Each AI role costs 80 to 90% less than the equivalent human role.

Best fit: orthopedic practices that want clean, correctly lateralized claims and the work around the note handled, not just documentation.

2. DeepScribe

A specialty-tuned ambient scribe with orthopedic models and strong documentation quality [5].

Standout: orthopedic documentation depth. Best fit: practices that want the deepest ortho note, after confirming Exscribe fit and operative-note support.

3. DeepCura

An ambient scribe with orthopedic depth, including named special tests, ROM in degrees, laterality, and lateralized ICD-10 and CPT suggestions [4].

Standout: orthopedic capture and code suggestions. Best fit: orthopedic practices wanting strong documentation plus code suggestions, after confirming Exscribe fit.

4. Freed

A popular lightweight ambient scribe that runs as an extension and pushes chart-ready notes into the EHR [6].

Standout: clinician-loved and low-friction. Best fit: lean teams that want a simple scribe, after confirming it handles orthopedic visits.

5. Suki

A voice-first cross-EHR ambient assistant with dictation and documentation [6].

Standout: voice features and broad EHR support. Best fit: practices wanting a voice-first assistant, after confirming Exscribe fit.

Move From a Single Scribe to a Full AI Workforce

On Exscribe you are choosing a third-party scribe anyway, so the real question is how far past the note you want to go.

A scribe gives you a note, but orthopedic practices live on lateralized coding, imaging and surgery scheduling, and post-op follow-up, and those still land on staff. The average hospital already runs on about 800 different software tools, and point-solution AI just adds more silos instead of a workforce.

Sully takes the connected path. One integration with Exscribe, then a team of AI employees, the AI Scribe, the AI Coder, the AI Receptionist, and the AI Triage Nurse, sharing context across the visit. The Scribe writes the note, the AI Coder extracts every ICD-10 and CPT code and submits a clean, correctly lateralized claim, and meanwhile the AI Receptionist books the imaging or the surgery and the AI Triage Nurse handles post-op follow-up. Each AI role costs 80 to 90% less than the equivalent human role, proven across 5,000+ providers and 50M+ hours of AI work.

If you are weighing an AI scribe for Exscribe, it is worth seeing what the full team looks like in action.

FAQ

Q: What is an Exscribe AI scribe?

An Exscribe AI scribe is an ambient documentation tool that listens to the orthopedic visit and drafts a structured note in Exscribe, so the provider reviews and signs instead of typing. Because the Exscribe platform has no native scribe, this is a third-party tool, ranging from orthopedic-tuned scribes like DeepScribe to full AI workforce platforms like Sully.ai that also submit clean claims and handle scheduling and triage.

Q: Does Exscribe have its own AI scribe?

Not on the Exscribe platform. Exscribe is part of ModMed, whose flagship orthopedic EHR EMA has a native scribe, ModMed Scribe 2.0, but that is a different platform [3]. On Exscribe, you add a third-party scribe, or migrate to EMA for the native one.

Q: How do I add an AI scribe to Exscribe?

Pick a third-party route (an orthopedic-tuned scribe, a lightweight scribe, or a workforce platform), confirm you are on Exscribe, integrate it, map notes and coding, especially laterality and modifiers, to your Exscribe fields, and pilot on a laterality-heavy visit before scaling.

Q: Which AI scribe is best for orthopedic documentation?

Orthopedic notes need named special tests, ROM in degrees, and strict laterality, and specialty-tuned scribes like DeepScribe and DeepCura are built for that [4][5]. If you also want clean lateralized claims submitted and the scheduling and follow-up around procedures handled, a workforce platform like Sully.ai adds that on top of documentation.

Q: Does an Exscribe AI scribe handle coding and claims?

A scribe drafts the note and may suggest codes, but full end-to-end submission of correctly lateralized claims plus scheduling and follow-up needs a workforce platform. Sully.ai's AI Coder extracts every ICD-10 and CPT code and submits the claim through one integration with Exscribe.

Sources

[1] Annals of Internal Medicine (Sinsky et al.)— Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties. https://pmc.ncbi.nlm.nih.gov/articles/PMC5593724/

[2] American Medical Association (AMA) — Family doctors spend 86 minutes of "pajama time" with EHRs nightly. https://www.ama-assn.org/practice-management/digital-health/family-doctors-spend-86-minutes-pajama-time-ehrs-nightly

[3] Modernizing Medicine (ModMed) — Modernizing Medicine Announces Acquisition of Exscribe. https://www.modmed.com/press-release/modernizing-medicine-announces-acquisition-of-exscribe/

[4] DeepCura — Best AI Scribe for Orthopedics. https://www.deepcura.com/resources/best-ai-scribe-for-orthopedics

[5] DeepScribe— AI medical scribe. https://www.deepscribe.ai/

[6] Freed — Freed AI Scribe. https://www.getfreed.ai/

[7] JAMA Network (ambient AI scribe randomized study) — Ambient AI Scribes in Clinical Practice. https://pmc.ncbi.nlm.nih.gov/articles/PMC12768499/

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