GLACESCRIBE | LANDING

Your Last Chart Note Took 12 Minutes. This One Takes Zero.

GlaceScribe listens to the encounter and drafts a structured SOAP note in the right template for the visit. You review it, edit anything you want to edit, and sign. The note that lands in the chart is already wired into your orders, your labs, your problem list, and the ICD-10 and CPT suggestions your billers will see, because GlaceScribe is built inside GlaceEMR, not bolted onto it.

Physician examining a patient while a laptop in the background shows ambient documentation in progress.

30+

Years Platform Behind It

20+

Specialties Tuned

HIPAA

AI Infrastructure, BAA-Protected

100%

Physician Reviews Every Note

THE REASON YOU CLICKED THE AD

The Notes From Clinic Are Not Closing in Clinic.

You finished the last visit at 5:10 PM. The chart pile is still open. The laptop comes home, the kids go to bed, and you are typing HPIs at 9:30 in the same clothes you wore to clinic. Two hours of pajama time, four nights a week, every week. That is the documentation tax, and it is the single biggest reason physicians under fifty are leaving the practice of medicine earlier than they planned to.

It is also the reason the conversation about “physician burnout” keeps missing the point. The burnout is not the patient encounters. The patient encounters are the part of the job that physicians, almost universally, still want to do. The burnout is the second shift that starts after the last patient leaves, the second shift that no one in residency told you would still be running at this volume fifteen years in, the second shift that has quietly consumed the evenings you were saving for the rest of your life. The product category that fixes that second shift is real, the technology has arrived, and the only remaining question is which version of it you choose to run.

Ambient AI is a real answer to that. A microphone runs during the encounter, a model drafts a note, and the work of writing every word from memory at the end of the day collapses into the lighter work of reviewing a draft that already exists. The category is real. The pitch is correct.

What the typical ambient scribe SaaS does not tell you is that it solves the writing problem and creates a second problem you find out about in week three. The note comes back as a wall of prose, well-organized for reading and disconnected from the structured layer of the chart your billers, your problem list, your orders module, and your CPT-coding logic actually run on. The ambient draft saves time. The wall-of-text export gives most of it back. GlaceScribe was built inside the EHR so this second problem never appears.

There is a third cost that does not show up in the product comparison spreadsheet, and the practice administrator is the one who eventually carries it. Every bolt-on ambient SaaS is a second contract, a second login your providers complain about, a second per-provider-per-month line that scales with headcount, and a renewal conversation in twelve months with a vendor whose price will move and whose roadmap was not designed for your EHR. GlaceScribe is bundled inside GlaceEMR (and inside the GlaceRCM flagship bundle for the practices on RCM); it is not a separate subscription, and there is no second contract to negotiate or renew. The model and the chart are the same product, designed together, by the same physician-founded company that has been writing EHR software for the same audience since 1994.

WHAT GLACESCRIBE ACTUALLY DOES

Four Ways to Capture a Note. One Chart on the Other Side.

Different visits ask for different capture methods, and the platform supports all four inside the same encounter screen, so the choice is yours per visit, not yours per contract.

1. Ambient Listening

A microphone runs through the visit, the model produces a structured SOAP draft, and the draft is waiting when you sit down to sign. Multi-speaker, accent-tolerant, English and Spanish. The audio is processed and discarded; the structured note stays in the chart.

2. Voice Dictation

Speak the note the way you would dictate to a transcriptionist, and the model lands it as structured prose inside the right SOAP sections with the right templating. No special hardware. Works on the same device you use for the chart, from the same encounter screen, with the same review-and-sign flow as ambient capture.

3. Smart Templates

Quick visits (med refills, BP checks, post-op reviews, follow-up appointments) start from a tuned template per specialty, with smart-phrase expansions and the structured fields already pre-populated where the chart context allows. You fill the variable pieces and sign. Two minutes from template open to signed note for a clean refill.

4. Free-Text Editing

The encounters that need a paragraph in your own words still get a paragraph in your own words. Free-text editing is in the same surface as the rest of the documentation flow, with the same keyboard shortcuts and the same smart-phrase expansions you have already configured. The model is a draft author, never the final author of the note.

HOW IT WORKS IN A LIVE ENCOUNTER

Four Steps. None of Them Happen After Dinner.

The flow below is the typical primary-care or specialist follow-up encounter; specialty-specific tuning is described further down.

STEP 1

Tap Start

One button inside the encounter screen. No second device, no second login, no microphone setup. Works in-office. Works in telehealth. The patient sees the same recording-indicator the practice already discloses, the way you would expect from a HIPAA-grade clinical tool.

STEP 2

It Listens

Captures up to four simultaneous speakers, distinguishes physician from patient from family member, and handles medical terminology, accents, and specialty-specific phrasing. English and Spanish are both supported; the structured note that lands in the chart is English-only, per the clinical-documentation-English-only rule that governs the legal medical record.

STEP 3

You Review

A structured SOAP draft with ICD-10 suggestions, CPT suggestions, and order suggestions waiting for your review. You edit the draft the way you would edit any note in your chart. You accept or reject each suggested code. You accept or reject each suggested order. You sign. Every suggestion is a suggestion you act on; none of it commits to the record without your signature on the encounter.

STEP 4

Go Home on Time

No after-hours documentation queue. No pajama charting. The signed note lands in the chart with the structured codes already populated in the billing diagnosis field, the orders already routed, and the problem list already updated. The work that used to follow you home stays in the room you finished it in.

SEE IT LIVE

A Real SOAP Note, Drafted in Front of You.

Twenty-minute demo. We run a sample encounter against the live platform and you watch the draft assemble in real time, structured, coded, and ready to sign. Tuned to your specialty before the call.

Contact Form Demo

Or call (888) 452-2363 weekdays 7 AM to 8 PM Eastern.

THE AI STACK UNDERNEATH

HIPAA-Grade AI Infrastructure. Not a Single-Vendor Bet.

GlaceScribe is built on HIPAA-compliant AI infrastructure from Amazon, Google, Anthropic, Deepgram, ElevenLabs, and other enterprise AI providers. Every vendor in the path operates under a business associate agreement, and the BAA terms prohibit those vendors from training on your audio or your PHI. Your encounter audio is processed and discarded; what stays in the chart is the signed structured note, which is part of the legal medical record.

The multi-vendor architecture is deliberate. It preserves operational redundancy if any single vendor experiences a degradation, and it allows the platform to refresh the underlying models as the AI market evolves without exposing the practice to a single-vendor lock-in conversation in eighteen months. Combined with the platform’s existing posture (ONC Certified, HIPAA-compliant, PCI-DSS compliant, LUKS full-disk encryption at rest in production), the stack is one a physician-founded company built for clinical use, not a general-purpose transcription pipeline retrofitted to handle PHI.

Practically, this is what a typical practice asks about during procurement and what the answer is. The audio runs through a HIPAA-eligible processing path inside the same hyperscaler region as the rest of the GlaceEMR deployment, never leaves the BAA-protected perimeter, and is not used to train any vendor’s general-purpose model. Encounter PHI is encrypted in transit and at rest. The transcription and structured-draft generation happen in near-real-time during the visit; the structured note is available the moment you sit down to review. None of the AI providers in the path receive the patient identity or the chart record as a contiguous package; the platform handles the orchestration so each vendor sees only what its specific function requires.

THE LINE THE PRODUCT WILL NOT CROSS

Every Suggestion Is a Suggestion. The Signature Is Always Yours.

The product was designed around a single commitment that the model produces suggestions and the physician produces the medical record. There is no setting that lets the model sign a note unattended. There is no setting that lets the model finalize a billing code unattended. There is no setting that lets the model release an order unattended. The signature on the encounter is a deliberate human action, every time, by the credentialed clinician whose name attaches to the legal medical record.

In practice the review looks like the chart review you already run, with three differences. The body of the note is mostly written when you open it. The codes the visit produced are pre-suggested in a panel you accept or reject one at a time. The orders the visit produced are pre-suggested in a separate panel, also acceptance-gated. The clinical judgment is still yours. The product simply removes the typing.

This matters legally, it matters clinically, and it matters at peer review. A signed note carries the same medical and legal weight it always did, because the signing clinician reviewed it. The chart audit trail captures the physician as the signing party. The product is a documentation aid, never a documentation author of record.

It also matters operationally. The physician-signature gate means the practice’s billing posture, its compliance posture, and its malpractice posture are unchanged from the day before the platform turned on, except faster. The codes that drop on the claim are codes you reviewed. The orders that go to the lab are orders you released. The medication changes that update the chart are medication changes you confirmed. The fact that a model produced the first pass of the documentation does not change who is responsible for the medical record, and the product is explicit about it from the encounter screen all the way down to the audit log.

TUNED PER SPECIALTY

A Cardiology Note Is Not an OB Note Is Not a Behavioral Health Note.

Twenty-plus specialties are tuned: internal medicine, family medicine, pediatrics, cardiology, oncology, behavioral health, podiatry, OB-GYN, orthopedics, dermatology, rheumatology, gastroenterology, nephrology, endocrinology, pain medicine, allergy, pulmonary, neurology, sleep medicine, geriatrics, urgent care, PT/OT, and skilled-nursing settings. The model is configured per specialty, so the draft shape, the section ordering, the suggested codes, and the templating reflect what physicians in that specialty actually run during a typical encounter.

The tuning is not cosmetic. A behavioral health intake has different section ordering, different cadence in the assessment, and a different set of likely CPT suggestions than a cardiology stress-test follow-up. An OB obstetric visit has documentation requirements that primary care does not. A podiatry post-op review needs anatomic specificity the model has to be configured to surface. The per-specialty configuration is the difference between a draft that feels like your visit and a draft that feels like a generic medical note an undergraduate could have written.

If your specialty is not on the list, the named account team can confirm whether the tuning is in active development or whether a generic clinical configuration is the right starting point. The detail of how specialty adaptation works, including the per-specialty template library and the customization options available to the practice, is on the specialty-adaptation page.

WHAT THE FIRST 90 DAYS LOOK LIKE

The Documentation Tax, Down to Minutes Per Day.

The practices running GlaceScribe today describe the same arc. Week one is a calibration week: the model is reading the room, the physician is reading the draft, and there is a slight bias toward over-editing because the workflow is new. By week two the draft is recognizable as your visit, the edit volume drops, and the after-hours documentation queue has visibly shrunk. By week six the queue is mostly gone for routine encounters. The complex multi-system visits still take real review time, because they should, and the product is not pretending otherwise.

For the practice administrator the change is structural. The provider satisfaction line that used to dominate every monthly meeting moves down the agenda. The recruiting pitch sharpens because the practice can credibly tell a candidate the workday ends at the end of clinic. The billing cycle tightens because the structured codes were captured during the visit and the claim is ready to drop on the same day; the billers stop chasing missing diagnosis codes from yesterday’s encounters. For practices on GlaceRCM, the same structured signal feeds the 95%+ first-pass claim adjudication rate the platform is built for (footnote: of payer-allowed amounts).

For the physician the change is personal. The laptop stays at the office. The phone does not chime with chart-pending notifications at 8 PM. Dinner happens at dinner. The visit you had with the patient at 4:50 PM finished at 4:50 PM, signed, coded, and routed to the billing layer before the patient walked out of the parking lot. That is the product. That is the only thing it claims to do.

The physicians who have been running ambient documentation for six months will tell you, candidly, that the real change is not the time saved on any single note. It is the cumulative recovery of attention. When the writing is mostly done by the time you sit down to review, the next patient gets the full version of you instead of the version that was rehearsing the prior note’s HPI in the background. The visits get better. The patients notice. The Press Ganey scores notice. The thing that started as a charting tool ends up being a quality-of-care tool, and that second-order effect is the one that turns a six-month trial into a permanent line in the budget.

PHYSICIANS RUNNING THE PLATFORM TODAY

What Three of Our Physicians Said.

“Peace of mind. Comprehensive, easy to use. I would highly recommend Glenwood.”


Aura Ardon, MD

Florida

“Revenue has increased substantially. Claims go out immediately.”


Naga Prasuna Madireddy, MD

Ohio

“Customer service is amazing. Above and beyond, even after hours or on weekends.”


Nikesh Batra, MD

Ohio

FREQUENTLY ASKED

What Physicians Ask Before Booking the Demo.

Does GlaceScribe sign my notes for me?

No. The signature is a deliberate human action on every encounter, and there is no setting that lets the model finalize a note without a clinician’s review. GlaceScribe drafts a structured note, surfaces order and code suggestions, and presents the encounter to the physician for review. The physician edits, accepts or rejects suggestions, and signs. The signed note becomes the legal medical record, and the audit trail captures the physician as the signing party.

What AI vendors do you use, and what are they allowed to do with our audio?

GlaceScribe is built on HIPAA-compliant AI infrastructure from Amazon, Google, Anthropic, Deepgram, ElevenLabs, and other enterprise AI providers. Every vendor in the path operates under a business associate agreement, and those BAA terms prohibit the vendors from training on your audio or your PHI. The multi-vendor architecture is intentional: it preserves operational redundancy if any single vendor experiences a degradation, and it lets the platform refresh underlying models as the AI market evolves without exposing the practice to a single-vendor lock-in.

Is the audio of the encounter kept after the note is generated?

No, not by default. The audio is processed to generate the structured draft and then discarded; the platform retains the signed structured note (which is part of the legal medical record) and the encounter metadata required for audit, but the raw audio is not kept after the draft is finalized. Practices with a specific reason to retain audio (a teaching practice, a research protocol, a particular legal posture) can change the retention policy at the practice level, and the change requires explicit administrator action.

Can I use GlaceScribe if my current EHR is not Glenwood?

No. GlaceScribe is bundled inside GlaceEMR (and therefore inside the GlaceRCM flagship bundle), and the value of the product is the integration with the chart, the orders module, the labs, the problem list, the medication list, and the billing layer of GlaceEMR. A standalone version exporting to a third-party EHR over an HL7 or FHIR pipe would be a different product, and it would re-create the wall-of-text-dump problem GlaceScribe was designed to avoid. The path from another EHR to GlaceScribe is the EMR switch, which runs in under one week to go-live for the typical practice and carries no switching cost.

How accurate is the draft, and how much do I have to edit?

The draft is directionally correct on the great majority of encounters: the HPI, the assessment, and the plan generally land in a shape the physician recognizes as the visit they just ran. The fine points (a specific dose, a precise anatomic location, a small clarification in the plan you discussed in shorthand) often need a sentence or two of editing per note. Editing is fast because the surface is the chart you already use, with the keyboard shortcuts and smart-phrase expansions you already configured. Accuracy improves over the first few weeks as the model refines to your phrasing and your specialty terminology.

What is the path from clicking this ad to going live?

The demo is twenty minutes against the live platform, tuned to your specialty before the call. If the demo is the answer to your question, the onboarding for an EMR switch runs in under one week to go-live for a typical practice, with no switching cost and the named account team handling data migration, template configuration, and provider training. GlaceScribe is enabled inside that same onboarding for any practice that wants ambient documentation from day one.

See What Glenwood Can Do for Your Practice

A 20-minute working call. We show you the platform on your specialty’s actual workflows, not a generic demo.