An AI medical scribe is software that listens to a patient encounter — either in real time or from a recorded dictation — and generates structured clinical documentation. It handles the note-taking so you can focus on the patient instead of a keyboard. The output is typically a SOAP note, visit summary, or other EHR-ready format that you review, edit if needed, and sign.
Think of it as the digital equivalent of the human scribe who sits in the corner of the exam room typing while you talk. Except this one doesn't need a chair, a badge, or a lunch break.
How an AI medical scribe works
The process follows a predictable pipeline, regardless of vendor:
┌─────────────────────────────────────────────────────────┐
│ CLINICIAN ENCOUNTER │
│ │
│ 1. Audio capture (ambient mic or dictation input) │
│ ↓ │
│ 2. Speech-to-text transcription │
│ ↓ │
│ 3. Clinical NLP & entity extraction │
│ (symptoms, diagnoses, medications, plans) │
│ ↓ │
│ 4. Note structuring (SOAP, H&P, specialty template) │
│ ↓ │
│ 5. Clinician review & editing │
│ ↓ │
│ 6. EHR export or copy │
└─────────────────────────────────────────────────────────┘
The first two steps use automatic speech recognition (ASR). Steps three and four use large language models fine-tuned on clinical data. The final steps keep you in control of what goes into the medical record.
What an AI scribe can generate
Depending on the product, output types include:
- SOAP notes — the most common format, with Subjective, Objective, Assessment, and Plan sections populated from the conversation
- After-visit summaries — patient-facing documents that explain the diagnosis and next steps in plain language
- Referral letters — structured communications to specialists with relevant history
- Procedure notes — documentation for minor procedures discussed or performed during the visit
- Billing-relevant coding suggestions — ICD-10 and CPT code recommendations based on encounter content (always verify)
Not every product covers all of these. Some focus exclusively on SOAP notes. Others, like Dictum, offer ambient capture, dictation mode, and multiple output formats including structured SOAP notes and after-visit summaries.
Benefits for clinicians
The core value proposition is time. Documentation is the single largest non-clinical task in most physicians' workdays — estimates range from 1 to 3 hours per day spent on charting after hours ("pajama time"). An AI scribe compresses that.
Beyond time savings:
- Encounter quality improves. You can maintain eye contact and natural conversation when you're not typing or clicking.
- Note completeness increases. The model captures details you might forget to document 4 hours later.
- Burnout decreases. Less after-hours charting means more recovery time. Documentation burden is a top driver of physician burnout in survey data.
- Consistency across visits. Templates and structured output reduce variability in your notes.
Limitations you should know
AI scribes are not infallible. Here's where they fall short:
Accuracy gaps. Background noise, heavy accents, multiple speakers talking simultaneously, and rare medical terminology can all reduce transcription quality. Clinical reasoning errors — where the model misattributes a symptom to the wrong problem — also occur.
Context blindness. The model doesn't see your physical exam findings unless you verbalize them. If you silently observe a rash and don't mention it aloud, it won't appear in the note.
Over-generation. Some models fill in standard language that wasn't actually discussed, creating a note that looks complete but includes assumptions.
Workflow fit. Not every clinician's workflow maps to "talk, then review a note." Surgeons, proceduralists, and ER physicians with rapid-fire encounters sometimes find the review step adds friction rather than removing it.
Privacy and review considerations
Patient data flowing through an AI system raises legitimate concerns. When evaluating any AI scribe, verify:
- Encryption — audio and text should be encrypted in transit and at rest
- Data retention — how long does the vendor store recordings and transcripts? Can you set auto-deletion?
- BAA — a signed Business Associate Agreement is non-negotiable under HIPAA
- On-device processing — some products (including Dictum) process audio locally, meaning data never leaves the device in certain modes
- No model training on your data — confirm the vendor does not use patient encounters to train their AI models
Clinicians should review AI-generated documentation before adding it to the medical record and should use Dictum in accordance with their organization's policies and applicable laws.
Buyer checklist: evaluating an AI medical scribe
Before committing to a product, run through these questions:
| Category | Question | Why it matters | |----------|----------|----------------| | Security | Is there a signed BAA? | HIPAA requirement | | Security | Where is audio processed? | On-device = less exposure | | Security | What's the data retention policy? | Auto-delete reduces risk | | Accuracy | Does it support your specialty? | Generic models miss specialty terms | | Workflow | Ambient, dictation, or both? | Matches how you actually work | | Output | What note formats are available? | SOAP alone may not be enough | | Integration | How does output reach your EHR? | Copy/paste vs. direct integration | | Cost | Per-encounter or flat monthly? | Predictable billing matters | | Compliance | SOC 2 Type II certified? | Third-party audit of security controls | | Support | Is there onboarding or training? | Adoption depends on initial setup |
How Dictum helps
Dictum is an AI medical scribe built for clinicians who want flexibility in how they document. It supports both ambient listening during encounters and post-visit dictation, generating review-ready SOAP notes, after-visit summaries, and referral letters.
Key differences from other products:
- Offline mode — process audio on-device when internet isn't available or when privacy requirements are strict
- Specialty templates — preconfigured for cardiology, psychiatry, orthopedics, family medicine, and more
- Auto-delete — configurable data retention with automatic purging
- No model training on patient data — your encounters stay yours
Check pricing for current plans, or explore Dictum's security approach for details on HIPAA compliance and data handling.
The bottom line
An AI medical scribe takes the mechanical work of clinical documentation off your plate. It doesn't practice medicine, make diagnoses, or replace your judgment — it transcribes, structures, and formats so you can review rather than write from scratch.
The best way to evaluate one is to try it in your actual workflow, with your patient population, in your specialty. Look for products that respect the review step, handle your specific documentation needs, and meet your organization's security requirements.