You run ModMed EMA in a specialty practice, and you want the visit notes written for you without leaving the chart. The problem is that documentation eats the day. Physicians spend close to two hours on the EHR and deskwork for every hour of direct patient care [1], and family doctors log about 86 minutes of nightly "pajama time" finishing charts [2].

This guide covers whether ModMed has its own scribe (it does, and it is strong), the three ways a scribe connects to it, a step by step setup, and the tools worth shortlisting.

Key Takeaway

To add an AI scribe to ModMed, you connect a HIPAA-compliant ambient documentation tool to the EMA chart in one of three ways: ModMed's native ModMed Scribe (built into EMA), a browser and desktop agent that overlays EMA and pushes the finished note in, or a bi-directional API integration that reads patient data and writes structured fields back. ModMed Scribe is the deepest native option and is ONC certified, while workforce platforms like Sully.ai use that same integration to go past the note and also code the visit into a submitted claim, book the follow-up, and run intake. ModMed reports its scribe saves providers 5 to 10 minutes per patient and up to 50% of documentation time [4].

What an AI Scribe Adds to the ModMed Workflow

An AI scribe listens to the visit and turns the conversation into a structured note. You talk to the patient like normal. The scribe drafts the note in seconds, and you review it instead of typing it.

ModMed users want this for a specific reason: specialty clinics run high volumes of short visits, so the minutes spent per chart stack up fast. The numbers below are the burden a scribe is meant to remove.

ModMed built its own ambient scribe directly into EMA. It suggests a structured note plus billing codes and downstream actions like prescriptions, lab orders, and patient handouts, all from the visit conversation [3][4]. When the EHR vendor ships a scribe this deep, the question is no longer whether a native option exists. It is whether it goes far enough for your practice.

Ambient Documentation Versus Manual Charting

The old flow on a specialty EHR is point-and-click templates plus typing, during the visit or after. Either way you are still doing data entry.

The ambient flow is listen, draft, review, sign. ModMed Scribe, for example, places information into the correct note sections and generates scripts and lab requisitions, not just a transcript [3].

The difference that matters is the editing tax. A shallow tool dumps one block of text into one field, so you re-format and re-file every note. A good tool maps each section to the right place, so review takes a minute, not ten. Marvix frames the same point: you want a structured push, not a free-text dump [9].

Why Specialty Practices Feel the Documentation Load Differently

ModMed is a specialty-first EHR, with templates built per specialty across allergy, dermatology, gastroenterology, OBGYN, ophthalmology, orthopedics, otolaryngology, pain management, plastic surgery, podiatry, and urology.

A generic scribe that writes a primary-care SOAP note misses the structured, specialty-specific data those workflows depend on. That is the whole problem with using an off-the-shelf tool on a specialty chart.

It is also why ModMed trained its scribe on de-identified notes sampled from more than 500 million real patient-provider interactions [5]. On a specialty EHR, specialty fit is the criterion that matters most, which is the lens the rest of this guide uses.

How AI Scribes Connect to ModMed

There is no single "add scribe" button. There are three integration depths, and the depth decides how much manual work is left over.

The key distinction: "integrated" and "bi-directional" are not the same thing. A tool can push a note into EMA without ever reading anything out of it. ModMed EMA also supports modern integration through FHIR-based APIs, which makes deeper third-party write-back feasible [9].

Native Documentation With ModMed Scribe

ModMed Scribe is the native option, built directly into EMA. The workflow is simple: open the EMA encounter, let the scribe listen to the visit, and it suggests a structured specialty note plus billing codes and downstream actions like prescriptions, common lab orders, and patient handouts, which you review and sign [3][4].

It is trained per specialty on more than 500 million de-identified interactions [5], it carries ONC and ASTP certification related to its AI scribe [6], and ModMed reports it saves 5 to 10 minutes per patient and up to 50% of documentation time [4].

The pros are real: the deepest native data landing, specialty-trained accuracy, and no third-party connector. The con is scope. Like any native scribe, it stops at suggestions inside the chart. It does not submit the claim, book the follow-up, or run intake, and it covers ModMed's supported specialties rather than every EHR you might run.

Browser and Desktop Agent Integrations

Tools like S10.ai run as a browser extension plus a desktop agent that overlays the EMA interface and populates note sections by simulating the clicks and keystrokes a user would make, with no EMA API keys or backend changes [8].

This is the fastest third-party route. S10.ai markets going live in under five days, with specialty template mapping in about 48 hours [8].

The tradeoff is depth. A UI-layer overlay is lighter than a true API and depends on the EMA screen staying where it expects. Some lighter tools are push-only: they write the note in but do not read patient context out.

Bi-Directional API Integrations

The deepest third-party tier. Using ModMed's FHIR-based APIs, a scribe can pull patient data in (schedule, history) to pre-chart the visit, and write structured data back (notes, coding suggestions, after-visit summaries) as discrete fields instead of a text blob [7][9].

DeepScribe markets a two-way ModMed integration that syncs complete specialty documentation, coding suggestions, and after-visit summaries into ModMed and pulls the schedule at the start of the encounter [7].

This is also where multi-agent platforms operate. Sully.ai integrates with the EHR once, and then its agents share that connection: the AI Scribe writes the note, the AI Coder extracts the codes and submits the claim, the AI Receptionist books the follow-up. The integration is the foundation the whole AI team stands on.

How to Add an AI Scribe to ModMed Step by Step

Five steps take you from "we should get a scribe" to a validated note in the chart.

1. Confirm Your ModMed Setup and Specialty

First, confirm you are on ModMed EMA and identify your specialty, because both native ModMed Scribe coverage and third-party specialty models depend on it.

Then identify your ModMed administrator. API connections and app enablement need admin rights, while browser-overlay tools usually do not. If you want the native route, ask your ModMed rep whether the scribe is available for your specialty [3].

2. Choose Your Integration Method

Match the method to your practice. Native ModMed Scribe fits a supported specialty that wants the deepest in-EMA fit from one vendor. A browser and desktop agent fits practices that want speed or a specialty the native scribe does not cover. Bi-directional API fits anyone who wants coded data written back and automation after the note.

The decision rule is simple: if you want coding turned into a submitted claim plus automation after the note (scheduling, follow-up), you need API-level integration or a workforce platform. If you just want the note typed for you, a native scribe or an overlay gets you there.

3. Install the Scribe and Connect to ModMed

For the native route, enable ModMed Scribe inside EMA with your ModMed rep [3].

For browser and desktop agents, install the extension and desktop agent and sign in alongside EMA, with no API keys required [8]. For API tools, the vendor connects to your ModMed instance through ModMed's APIs [7][9].

Whichever route you pick, two things are non-negotiable before any patient audio is recorded: a signed BAA and HIPAA-compliant data handling. ModMed Scribe itself carries ONC and ASTP certification related to its AI scribe [6].

4. Map Note Sections to ModMed Templates

This is the make-or-break step on a specialty EHR. Configure how each note section maps to the correct EMA specialty template fields, and how diagnoses and codes attach to each problem instead of landing as one block.

Native ModMed Scribe is built around EMA's specialty templates. Third-party tools need explicit specialty mapping, and S10.ai quotes about 48 hours per specialty for that work [8]. Verify against the templates you actually use.

5. Run a Test Visit and Review the Note

Pick a high-complexity, multi-problem visit in your busiest specialty as the test. The hardest case is the one that reveals mapping gaps.

Confirm the note lands in the right EMA sections, codes attach to the right diagnoses, and downstream items like scripts and lab orders populate.

Then measure the editing tax: how many edits before signature? If review takes longer than the old template clicking did, the integration is too shallow. Validate before you roll out practice-wide.

What to Look For in a ModMed AI Scribe

Four criteria separate the tools on the shortlist.

Specialty Template and Workflow Fit

On a specialty EHR, this comes first. The scribe has to handle your specialty's structured note and vocabulary, not a generic SOAP note.

ModMed Scribe is trained per specialty on more than 500 million interactions [5]. Third-party tools vary, so demo on your hardest specialty, not a primary-care case [9]. The demo case always works. Your dermatology or orthopedics template is the real test.

Depth of EHR Integration

Push-only versus bi-directional, and a UI overlay versus a true API. The deepest tools read context in and write discrete coded data out. A screen overlay populates fields by simulating clicks and depends on the EMA layout staying put [8].

Reiterate the editing-tax cost of shallow integration: a tool that only pastes text trades typing for re-filing.

Coding and Downstream Workflow Support

Does the tool write ICD-10 and CPT codes linked to each diagnosis and trigger downstream actions, or just paste a note? ModMed Scribe suggests codes and generates scripts and lab requisitions inside EMA [3].

The step beyond suggestions is submitting the clean claim, which is where coding agents and workforce platforms separate from scribes. Sully pairs its AI Scribe with an AI Coder that extracts every ICD-10 and CPT code and submits clean claims, rather than leaving you a list of suggestions to file.

Security, HIPAA, and Certification

The non-negotiables: HIPAA compliance, a signed BAA, encryption, de-identified PHI handling, MFA, SSO, and limited access. DeepScribe publishes these controls [7], and ModMed Scribe carries ONC and ASTP certification related to its AI scribe [6].

Keep the security 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 ModMed

Five tools worth shortlisting, compared on the criteria above.

1. Sully.ai

Sully.ai is a capable AI Scribe in its own right, capturing the visit and drafting a structured note inside your EHR. What sets it apart is what happens after the note: the Scribe is one member of a coordinated AI workforce built for healthcare, not a standalone tool.

Because Sully integrates once with the EHR and its agents share context, the Scribe hands off to the AI Coder (ICD-10 and CPT extraction plus clean claims), the AI Receptionist (scheduling and confirmations), and the AI Triage Nurse (intake and follow-up).

Two things set it apart for a ModMed practice. First, it goes past suggestions. ModMed Scribe suggests codes inside EMA, while Sully's Coder submits the clean claim and the Receptionist books the follow-up before the provider finishes the next visit. Second, breadth. Sully integrates with ModMed and also with Epic, Cerner, Meditech, and Athenahealth, so a multi-specialty or multi-EHR group gets one workforce instead of a different scribe per system. Each AI role costs 80 to 90% less than the equivalent human role, and Sully operates across 5,000+ providers with 50M+ hours of AI work delivered.

Best fit: ModMed practices that want documentation solved and the admin work around it (coding, claims, scheduling, follow-up) handled by the same connected team.

2. ModMed Scribe

The native option, built directly into EMA and trained per specialty on de-identified notes sampled from more than 500 million patient-provider interactions [5]. It suggests structured specialty notes plus billing codes and downstream actions like scripts, lab orders, and patient handouts, reviewed and signed in EMA [3].

Standout: the deepest native specialty fit, ONC and ASTP certification [6], and ModMed's reported 5 to 10 minutes saved per patient with 240,000 visits in its first three months [4]. Best fit: ModMed practices in a supported specialty that want the in-house option and do not need claims, scheduling, or triage automated.

3. DeepScribe

A standalone scribe with a two-way ModMed integration that syncs specialty documentation, coding suggestions, and after-visit summaries into ModMed and pulls the schedule at the start of the encounter, with a customization studio for note style [7].

Standout: bi-directional depth plus specialty customization. Best fit: ModMed groups that want discrete write-back from a dedicated scribe.

4. S10.ai

A UI-layer scribe that runs as a browser extension and desktop agent over EMA, populating note sections by simulating clicks and keystrokes with no EMA API keys, marketed live in under five days with about 48-hour specialty mapping [8].

Standout: fast, low-touch deployment. Best fit: practices that want speed or a specialty the native scribe does not cover.

5. Marvix

A scribe built around deep, FHIR-based bi-directional integration that pre-charts from EHR history, maps generated content to specific template fields, and writes structured data back rather than a free-text dump [9].

Standout: structured write-back and an explicit focus on specialty integration depth. Best fit: specialty groups that prioritize template-level mapping accuracy.

Move From a Single Scribe to a Full AI Workforce

A scribe, even one as strong as ModMed Scribe, solves documentation. It does not touch the rest of the visit's admin load: turning the code into a submitted claim, booking the follow-up, running intake for the next patient.

The average hospital already runs on about 800 different software tools, and point-solution AI adds more silos to that pile. Ten AI tools that do not talk to each other are not a workforce. They are ten more logins.

Sully takes the other path. Integrate the EHR once, then a team of AI employees shares context and hands off cases. The Scribe writes the note, the AI Coder extracts every ICD-10 and CPT code, and a clean claim goes out before a denial can occur. Meanwhile the AI Receptionist books the follow-up before the provider finishes the next visit. Each AI role costs 80 to 90% less than the equivalent human role.

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

FAQ

Q: What is a ModMed AI scribe?

A ModMed AI scribe is an ambient documentation tool that listens to the patient visit and drafts a structured clinical note inside or alongside the ModMed EMA chart, so the provider reviews and signs instead of typing. Options range from ModMed's native ModMed Scribe to third-party tools and full AI workforce platforms like Sully.ai that also handle coding, scheduling, and follow-up.

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

Pick an integration method (native ModMed Scribe, browser and desktop agent, or bi-directional API), confirm your EMA setup and specialty, connect the tool, map note sections to your ModMed specialty templates, and validate with a test visit. Browser-overlay tools can be live in days. API-level write-back lands structured, coded data automatically.

Q: Does ModMed have a built in AI scribe?

Yes. ModMed Scribe is an ambient AI scribe built directly into the EMA EHR and trained per specialty on de-identified notes sampled from more than 500 million patient-provider interactions. It suggests structured notes and billing codes and automates downstream actions like prescriptions and lab orders, and ModMed reports it saves 5 to 10 minutes per patient and up to 50% of documentation time [4][5].

Q: Do you need API access to use an AI scribe with ModMed?

Not always. Browser and desktop overlay scribes can populate EMA notes without API keys by simulating the user interface. To read patient context and write structured, coded data back into discrete fields, you need a tool connected through ModMed's FHIR-based APIs.

Q: How much does an AI scribe for ModMed cost?

AI scribe pricing varies widely, from roughly $99 per provider per month for a standalone tool up to enterprise contracts for larger groups. Price per seat is the wrong lens, though. A scribe only documents, while a platform that also codes the claim, schedules, and follows up replaces work you are paying people to do today. Sully.ai reports each AI role costs 80 to 90% less than the equivalent human hire, so the right comparison is the full admin team, not one scribe seat.

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] ModMed — AI Medical Scribe for Clinical Documentation (ModMed Scribe). https://www.modmed.com/solutions/ai/scribe/

[4] ModMed — ModMed Scribe 2.0 Reaches 240,000 Patient Visits in First Three Months of Release. https://www.modmed.com/press-release/modmed-scribe-2-0-reaches-240000-patient-visits-in-first-three-months-of-release/

[5] ModMed — ModMed Unveils Dermatology-Specific AI with ModMed Scribe. https://www.modmed.com/press-release/modmed-unveils-dermatology-specific-ai-with-modmed-scribe/

[6] ModMed — ModMed Achieves ASTP/ONC Certification Related to AI-Powered Scribe. https://www.modmed.com/press-release/modmed-achieves-astp-onc-certification-related-to-ai-powered-scribe-revolutionizing-provider-efficiency-and-patient-care/

[7] DeepScribe — AI Scribe for ModMed. https://www.deepscribe.ai/ehr-integrations/modmed

[8] S10.ai — AI Scribe for ModMed EMR by S10.AI. https://s10.ai/blog/modmed-emr-ai-scribe

[9] Marvix — AI Scribe EHR Integration: Compatibility, Depth, and What to Look For. https://www.marvix.ai/blog/ai-scribe-ehr-integration