● REC · Voice Documentation — AI MEDICAL SCRIBE
Peerbits AI Scribe turns your clinical voice into structured documentation — SOAP notes, orders, referrals, and summaries — in real time, without a single keystroke or template.
"Assessment: exertional chest pain, likely stable angina given the ECG changes. Plan: start low-dose aspirin and beta blocker, order stress echo, follow up in one week"|
↓ AI ENGINE · 1.4s
ASSESSMENT
Exertional chest pain — stable angina pattern. ECG: ST changes consistent with ischemia. No signs of acute MI at this time.
PLAN
1. Aspirin 81mg daily — initiated
2. Metoprolol succinate 25mg — initiated
3. Stress echocardiogram — ordered
4. Return visit: 1 week or sooner if symptoms worsen
AUTO-CODED
I20.9 · Angina pectoris · 93350 · Stress Echo · 99214 · E&M Level 4
THE DOCUMENTATION BURDEN
The keyboard became the physician's primary tool — not the stethoscope, not the conversation, not the clinical judgment. Voice documentation returns medicine to what it should be: spoken, human, and fast.
4.5hr
The average primary care physician spends more time documenting than seeing patients. The keyboard is winning. Voice AI ends that.
37%
Physicians look at screens for 37% of every appointment. Patients feel it. Trust erodes. Clinical intuition — which comes from watching — gets lost.
Legacy voice-to-text produces raw transcripts. Someone still structures them, formats them, codes them. AI Voice Documentation produces the structured output — not the raw words.
Most after-hours charting happens because physicians couldn't document fast enough during the day. If documentation kept pace with the spoken word, pajama time disappears.
THE VOICE ENGINE
Legacy medical transcription turns speech into text. Peerbits AI Voice Documentation turns speech into structured, coded, EHR-ready clinical documents — understanding what you mean, not just what you say.
Our ASR model is trained exclusively on clinical speech — handling medical terminology, drug names, anatomical references, and abbreviations with 97%+ accuracy. Handles accents, background noise, and rapid speech without degradation.
Distinguishes between dictating a note, placing an order, requesting a referral, or giving patient instructions — from the same voice stream, without mode-switching commands. Intent drives output format.
As you speak, the AI routes content into the correct document section — HPI, exam findings, assessment, plan — in real time. The structure emerges as you talk, not after you finish.
ICD-10, CPT, and E&M codes are generated in parallel with the note — not as a separate step. By the time you stop speaking, the note is coded, structured, and ready to sign.
Say "send to chart" — or tap once — and the completed document pushes directly to the patient's EHR record via FHIR R4. No copy-paste. No re-entry. No delay.
Trained on clinical speech only. Our ASR model has never seen general consumer audio — only de-identified physician-patient recordings across 14 specialties and 6 EHR environments.
97%
Medical speech recognition accuracy in live clinical environments
<2s
Speech-to-structured-document latency
4.5hr
Daily documentation time returned to physicians
14+
Specialties with dedicated voice models
VOICE DOCUMENTATION MODES
The AI determines what you're creating from how you speak — not from which mode you manually selected. But for workflows that require explicit control, each mode is also available on demand.
MODE 01
Runs silently during the patient encounter. Captures the full physician-patient conversation and structures it into a complete visit note at encounter end. Zero physician interaction mid-visit.
MODE 02
Physician narrates the clinical note directly — assessment, plan, findings — and the AI structures it in real time into the selected template. Replaces traditional voice dictation with instant structured output.
MODE 03
Control the EHR by voice. Order labs, place referrals, add diagnoses, pull up the next patient, or push the completed note — all without touching the keyboard. Full EHR voice control.
MODE 04
Speak corrections or additions to a generated note — "change the assessment to acute-on-chronic" or "add furosemide to the plan" — and the AI updates the relevant section without full re-dictation.
MODE 05
Verbally describe the referral reason, patient history, and clinical question — AI generates a structured referral letter formatted for the receiving specialist and routes it automatically.
MODE 06
Speak the discharge or visit instructions directly to the patient — AI simultaneously generates a plain-language written version for the patient portal, without additional physician effort.
VOICE IN ACTION
Hear it in the language of clinical practice. These are real examples of physician speech converted into structured documentation — in under 2 seconds each.
Physician speaks naturally through assessment and plan. AI structures full SOAP note with ICD-10 codes and E&M level in real time.
"51-year-old male with uncontrolled hypertension. BP today 162 over 98. Increasing lisinopril to 20 milligrams. Recheck in four weeks."
+ SOAP structured · I10 coded · 99213 E&M · EHR-ready in 1.8s
Place lab orders without touching the keyboard. The AI maps spoken order intent to the correct order set in your EHR, with indication auto-documented.
"Order BMP, CBC, HbA1c, and lipid panel — follow-up for diabetes management."
+ 4 orders placed · Indication documented · CPOE submitted
Speak discharge instructions directly to the patient — AI simultaneously generates a formatted written summary for the patient portal and the discharge documentation for the record.
"Take the new water pill every morning. Call us if you gain more than two pounds overnight. Come back if the breathing gets worse."
+ Patient instructions · Grade 6 readability · Portal-ready
Consult physicians dictate their impression and recommendations by voice. AI structures the full consult note and routes it back to the requesting physician within minutes of the bedside visit.
"Cardiology consult for chest pain. Impression: NSTEMI ruled out. Recommend outpatient stress echo and follow-up in my clinic in two weeks."
+ Consult note structured · Returned to PCP · Auto-coded
In high-interruption ED environments, physicians narrate brief assessments between patient contacts. AI accumulates the documentation across interruptions and assembles the complete ED note.
"Bed 4, 35-year-old female, right lower quadrant pain, fever 38.4, Rovsing's positive. Ordering CT abdomen-pelvis with contrast. Surgical consult placed."
+ ED note assembled · Orders placed · Consult initiated
For on-call conversations and patient phone interactions, voice documentation captures the clinical exchange and auto-generates a telephone encounter note — without typing while on the call.
"Spoke to patient about fever and headache. No meningism symptoms. Advised Tylenol 650, fluids, return to ED if worsens or fever above 39.5."
+ Phone encounter note · Advice documented · Time-stamped
WHAT'S UNDER THE HOOD
Consumer voice assistants fail in clinical settings because they weren't designed for them. Peerbits AI Voice Documentation is built from the ground up for the acoustic, linguistic, and compliance realities of healthcare.
Trained for the noise profile of real clinical environments — paper gowns, equipment hum, overhead speakers, and staff conversations in the background. Signal extraction is clinical-grade, not consumer-grade.
Recognizes brand names, generics, phonetic variations, and verbal abbreviations for every FDA-approved drug. "Levo" becomes "levofloxacin 500mg" in context. "Metop succ" becomes the correct SOAP entry.
Trained on physician speech from 40+ countries of origin. Our accuracy rates are uniform across accents — no physician is disadvantaged because English is their second language or because they trained abroad.
Audio is encrypted in transit (TLS 1.3), processed on isolated compute, and never retained after transcription is complete. No audio stored. No training data from your clinical conversations. BAA-covered always.
iOS, Android, desktop browser, or embedded in your EHR workflow. A dedicated hardware microphone is optional — the built-in microphone on an iPhone achieves clinical-grade accuracy with our models.
Learns each physician's speech patterns, vocabulary preferences, and documentation style over time. Accuracy improves with use — without sharing your data with other users or retraining the base model.
SPECIALTY VOICE MODELS
Generic speech recognition treats "PE" as pulmonary embolism in cardiology and physical exam in primary care. Our specialty models understand context — so you never have to clarify what you meant.
Echo findings · Rhythm · Risk scores
Interprets cardiac shorthand: "NSR, no MR, EF 45" structures into full cardiac exam findings.
Multi-problem · Preventive · Chronic
Handles multi-problem visits without losing track of which statement belongs to which diagnosis.
Laterality · ROM · Anatomy
"Positive Lachman, negative McMurray, right knee" — anatomical precision without disambiguation prompts.
Cranial nerves · Motor · Sensory
Systematic neuro exam dictation structured with correct anatomical hierarchy and deficit localization.
Milestones · Growth · Vaccines
Age-adjusted terminology. "Meeting milestones for 18 months" routes to the correct developmental section.
Rapid · Interrupted · High-acuity
Interruption-tolerant. Accumulates fragmented dictations across a busy ED shift into complete encounter notes.
OB history · GA · GYN exam
G3P2 formats automatically. Gestational age calculations, trimester routing, and GYN exam structuring built in.
MSE · Risk · Affect · DAP
Mental status exam, risk stratification, and session content routed to DAP/BIRP format without restructuring.
HOW IT COMPARES
| Capability | Manual Typing | Legacy Dictation + MT | Consumer Voice-to-Text | Peerbits AI Voice Documentation |
|---|---|---|---|---|
| Output format | Raw note (physician structures) | Raw transcript (MT structures) | ✗ Raw text (unstructured) | ✓ Structured SOAP / H&P / custom |
| Medical terminology accuracy | Dependent on typist speed | ~ 88–92% (generic models) | ✗ 60–75% | ✓ 97%+ clinical-trained |
| ICD-10 / CPT coding | ✗ Separate step | ✗ Separate coder | ✗ None | ✓ Real-time, simultaneous |
| Latency to structured document | 15+ minutes | 24–72 hours | Immediate (but unstructured) | ✓ <2 seconds |
| EHR voice commands | ✗ None | ✗ None | ✗ None | ✓ Orders, referrals, navigation |
| Accent robustness | N/A | ~ Varies by MT | ✗ Degrades significantly | ✓ 40+ accent models |
| HIPAA audio compliance | N/A | ~ Varies by vendor | ✗ Not healthcare-grade | ✓ Zero retention · BAA standard |
"The physician's voice has always been the most information-dense instrument in the exam room. We finally built software that keeps up with it."
— Engineering philosophy, Peerbits AI Scribe Voice Engine
See how health systems are using Peerbits AI Scribe to reclaim physician time and improve documentation quality.
Healthtech ,
Remote patient monitoring app helps to bridge the gap between patients and healthcare providers. It tracks the vitals of the patients and sends it to the doctors.
Healthtech , AWS / Cloud ,
A healthcare startup struggled with increasing loads of data and manual infrastructure management as its business expanded. Peerbits successfully built cloud infrastructure using AWS for their system possessing auto-scaling, automated and more.
Healthtech ,
This is a native iOS app that helps to bridge the gap between the patients and healthcare providers. Patients can monitor their health on a regular basis and share the data with the doctors and healthcare professionals.
Yes — and this was a founding design principle. Our ASR model is trained on physician speech from more than 40 countries of origin, covering a broad range of accents, prosodic patterns, and medical vocabulary conventions. Accuracy is validated to remain above 95% across all trained accent categories. Additionally, the system adapts to individual speech patterns over the first 5–10 sessions, further improving accuracy for your specific voice.
Consumer voice-to-text produces raw text — unstructured, uncoded, and requiring significant physician editing. Peerbits AI Voice Documentation produces a structured clinical document: sections routed correctly, ICD-10 and CPT codes assigned, EHR fields populated, and the note ready to sign. The output isn't transcription. It's the completed documentation artifact the physician would otherwise spend 15 minutes creating.
Audio is encrypted in transit and processed on isolated, HIPAA-compliant infrastructure. The audio stream is discarded immediately after transcription — it is never stored, never used for model training, and never retained for any purpose. The resulting structured text is stored per your EHR data retention policies. All of this is covered under the BAA we execute with every client organization.
Yes — for connected EHRs. Voice commands can place lab orders, submit referrals, add problems to the problem list, navigate to the next patient, and push the completed note — without touching the keyboard. The command vocabulary is configurable per EHR and per physician workflow. We currently support voice EHR control for Epic, Cerner Oracle Health, and athenahealth, with additional EHRs added quarterly.
Say "correction" followed by the revised statement and the AI replaces the incorrect content. Alternatively, corrections can be made in the review screen via keyboard or further voice amendment before signing. The full source recording is linked to the note and available for comparison during review. Most physicians find that <5% of notes require any correction at all after the first two weeks of use.
Yes. The voice documentation engine works with audio from any source — built-in microphone, headset, or even the physician-side audio of a Zoom Health or Doxy.me session. For telehealth environments, we offer a mode that separates physician voice from the call audio, ensuring only the physician's speech drives documentation while patient speech is available for ambient listening and note context.
Have more questions?
Ask our expertsREADY TO SEE IT LIVE
Our demo is a live session — not a recording. You speak in your specialty's language, in your accent, on your own case scenario. The note appears in real time. No setup required.
Expert insights on AI voice documentation, clinical speech recognition, and healthcare technology.
