Introduction
Ask physicians how they were taught to write a SOAP note, and you may hear different documentation habits - but the core structure remains the same: Subjective, Objective, Assessment, and Plan. This structure is widely used in clinical documentation and is supported by many AI medical scribe tools.
That raises an important question for any practice evaluating documentation software: Is the AI designed to organize clinical information according to SOAP structure, or is it primarily transcribing the conversation and relying on automated processing to organize the sections afterward?
This article explains what a SOAP note is, why its structure matters, how AI scribes are generally designed to organize information from a patient encounter, and what practices should consider when evaluating AI-generated notes.
What Is a SOAP Note?
A SOAP note is a structured method of documenting a patient encounter using four sections: Subjective, Objective, Assessment, and Plan. Together, these sections organize what the patient reports, what the clinician observes or measures, the clinician's assessment, and the planned next steps in care.
| Section | What It Captures | Example Content |
|---|---|---|
| Subjective (S) | The patient's own account - symptoms, history of present illness, review of systems | "Patient reports intermittent lower back pain for 3 weeks, worse with prolonged sitting" |
| Objective (O) | Measurable, observable findings | Vitals, physical exam findings, lab results, imaging |
| Assessment (A) | The clinician's diagnosis or differential, based on S and O | "Mechanical low back pain, likely muscular; rule out disc involvement" |
| Plan (P) | Next steps - treatment, medications, referrals, follow-up | "NSAIDs, physical therapy referral, follow-up in 2 weeks" |
SOAP documentation is associated with the problem-oriented medical record and is widely used in clinical documentation. Its structured format has also made it a common format for clinical documentation tools, including AI-based solutions.
Why SOAP Note Structure May Matter
It's tempting to treat SOAP formatting as a documentation formality, but the structure is generally understood to support several things:
1. Coding and reimbursement: Structured documentation can make relevant clinical information easier to locate during coding, review, or audit. Documentation requirements vary by service and payer, so practices should follow applicable coding and billing guidance.
2. Continuity of care: Other clinicians, as well as the original clinician when revisiting a chart, may rely on structured documentation to locate relevant information more efficiently. Clear organization can make the record easier to review and follow over time.
3. Record review and documentation clarity: Clearly distinguishing patient-reported information from clinician findings can make the record easier to interpret when it is reviewed later.
4. EHR organization: Structured sections may align more easily with designated EHR fields, which can be useful for practices using documentation software that integrates with systems such as Epic, Cerner, or athenahealth.
AI medical scribe workflows can vary by vendor, but many use a broadly similar process:
How AI Medical Scribes Are Generally Designed to Build a SOAP Note
Most AI medical scribes are built around a broadly similar pipeline, though implementation can vary between vendors:
- Audio capture of the patient encounter (in-person or telehealth), with patient consent.
- Transcription of the conversation into text.
- Clinical language processing, intended to help distinguish patient-reported statements from clinician observations, diagnoses, and plans.
- Section mapping, where identified content is intended to be sorted into Subjective, Objective, Assessment, and Plan.
- Draft generation, formatted to align with a practice's preferred template or EHR field structure where supported.
Steps 3 and 4 tend to be the more difficult part of this process. For example, if a patient says, "the doctor thinks it might be a pinched nerve," the statement represents what the patient is reporting about the clinician's assessment rather than an independent objective finding. If an AI system incorrectly places that statement in the Objective section, the resulting note may misrepresent the source of the information.
This is also an area where AI-only tools may differ from hybrid models that include human review. An unreviewed AI draft could potentially misclassify information, omit a relevant detail, or produce an Assessment that requires correction. A review step before finalization can provide an additional opportunity to identify and correct such issues.
Potential Benefits of AI-Assisted SOAP Note Generation
1. Time savings: Reducing manual charting time is one reason physicians may consider AI scribing, although actual time savings can vary by specialty, encounter complexity, workflow, and the amount of editing required.
2. More complete documentation: AI scribes that process the full encounter may help surface details for physician review that might otherwise be omitted from a quickly prepared manual note.
3. Consistency across notes: A well-configured system may apply similar structural logic across encounters, which could help reduce variability across a busy clinical day.
4. Reduced after-hours charting: Many physicians complete documentation outside clinic hours; a faster first draft may help reduce that after-hours workload for some practices.
These are potential rather than guaranteed outcomes. Actual results can vary depending on the platform, specialty, encounter type, workflow, and implementation.
Limitations Worth Understanding
AI-generated documentation should not be treated as a substitute for clinician review and clinical judgment.
1. Ambiguous attribution: Distinguishing patient-reported information from clinician findings can be difficult for software, particularly when a conversation moves quickly or covers several topics at once.
2. Specialty-specific terminology: A general-purpose system may be less reliable with dense subspecialty vocabulary (for example, detailed orthopedic exam maneuvers or psychiatric mental status findings) compared with a system specifically templated or trained for that specialty. This is one reason customizable AI scribe templates tend to matter for specialty practices.
3. Context outside the room: AI scribes are generally designed to capture what's said during the encounter - they typically don't independently pull prior chart history or outside records into the Assessment.
4. Responsibility sits with the signer: Regardless of how a draft was generated, the clinician who signs the note is generally understood to remain responsible for its accuracy, which is why reviewing AI-drafted content - or having a documented review step - before signing is widely considered a best practice. For a closer look at this topic, see what physicians should consider around AI scribe accuracy.
SOAP Notes vs. Progress Notes vs. Chart Notes: Clearing Up the Terminology
These terms are often used loosely, which can cause confusion when comparing documentation software. Here's how they generally relate:
| Term | What It Means |
|---|---|
| SOAP note | A specific four-section format for structuring a note |
| Progress note | A general term for any note documenting a patient's status during ongoing care - often, though not always, written in SOAP format |
| Chart note | An informal, general term for any entry in the patient's chart; not a specific format |
| Clinical note / medical note | Umbrella terms covering any documentation of a clinical encounter, including SOAP notes, progress notes, consult notes, and discharge summaries |
In short, SOAP describes a specific documentation format, while terms such as progress note, chart note, clinical note, and medical note are broader descriptions of clinical documentation.
Is SOAP the Only Format AI Scribes Support?
Not necessarily. Depending on the platform and specialty, AI scribes may also support:
- DAP (Data, Assessment, Plan) - commonly used in behavioral health
- BIRP (Behavior, Intervention, Response, Plan) - also common in mental health and therapy settings
- Custom or specialty-specific templates - built around a practice's preferred structure
When evaluating SOAP note software, it may help to ask whether the platform supports the format a given specialty uses and whether templates can be adjusted without a lengthy implementation process.
Can SOAP Notes Be Customized Per Specialty?
Often, yes, depending on the platform - and this can matter more than it might first appear. Cardiology, OB/GYN, and psychiatric documentation may emphasize different examination findings, terminology, and Assessment elements. Platforms that support customizable AI scribe templates and vocabulary may produce drafts that require less manual correction than a fixed, one-size-fits-all template, though this can vary by vendor and implementation.
Questions to Consider When Evaluating an AI Scribe's SOAP Output
Before adopting any AI documentation tool, it may be worth asking - and reviewing features to look for in AI scribe software can be a useful starting point:
- Does the tool appear designed to separate patient-reported content from clinician findings?
- Can the draft be reviewed and edited before it's finalized in the chart?
- Is there a documented human-review or quality-check step, or is AI output treated as final by default?
- Does it support the specialty's terminology and preferred note format?
- Does it integrate with the practice's existing EHR? See how AI scribes can integrate with Epic, Cerner, and athenahealth for more on this.
- Is the vendor clear about how patient data may stay secure with HIPAA-compliant AI scribes? (When a vendor qualifies as a HIPAA business associate, a business associate agreement may be required - this is general context, not legal advice, and practices should confirm applicability with their own compliance counsel.)
How Scribe4Me AI Approaches SOAP Note Structure
Scribe4Me AI is designed to generate SOAP-formatted notes from patient encounters and offers both a fully AI-generated option and a hybrid medical scribe model built to add a human quality-review layer before a note is finalized. The reasoning behind the hybrid approach is straightforward: an AI-generated first draft can be fast to produce, and a documented review step is intended to add an additional layer of scrutiny before a note is signed into the permanent record - though, as with any documentation tool, outcomes can vary by encounter and specialty.
Frequently Asked Questions
What is a SOAP note and what do the four sections mean? A SOAP note is a structured clinical documentation format with four sections: Subjective (what the patient reports), Objective (measurable findings), Assessment (the clinician's diagnosis or differential), and Plan (next steps in care).
Can AI medical scribes generate SOAP notes automatically? AI scribes can generate structured SOAP drafts from recorded encounters, but accuracy can vary by platform, specialty, and encounter complexity. Physician review is important before an AI-generated note is finalized.
Should AI-generated SOAP notes be reviewed by a physician before finalization? AI-generated notes should be reviewed by the signing clinician before finalization. The clinician can verify the information, correct inaccuracies or omissions, and ensure the note accurately reflects the encounter.
How does a SOAP note differ from a progress note? SOAP is a specific note format. "Progress note" is a broader term for any note tracking a patient's status during ongoing care - a progress note is often, though not always, written in SOAP format.
Is SOAP the only note format AI scribes support (vs. DAP, BIRP, etc.)? Not necessarily. Depending on the platform and specialty, AI scribes may also support formats such as DAP and BIRP, along with custom or specialty-specific templates.
Can SOAP notes generated by AI be customized per specialty? Often, yes, depending on the platform. Specialty-specific templates and terminology can help structure the Objective and Assessment sections around the terminology, findings, and documentation requirements relevant to that specialty.
Want to explore how AI-powered medical documentation may help reduce charting time and support clinical efficiency? Learn more about Scribe4Me AI and its AI medical scribe solutions.