AI SOAP Notes in Australia: What Clinicians Need to Know

What Is a SOAP Note?

SOAP stands for Subjective, Objective, Assessment, Plan, a structured framework for clinical documentation that has been the backbone of medical record-keeping since the 1960s. The Subjective section captures what the patient reports: symptoms, history, and concerns in their own words. Objective covers measurable findings: vital signs, examination findings, investigation results. Assessment synthesises the clinical picture into a working diagnosis or differential. Plan outlines the management decisions: prescriptions, referrals, follow-up, and patient instructions.

Despite being universally taught in medical training, SOAP notes are also one of the biggest time drains in a GP's day. A typical 15-minute consultation can require 5–10 minutes of documentation time, and that compounds across dozens of patients daily.

How AI Generates SOAP Notes from Transcripts

Modern AI documentation tools work in three stages. First, the consultation audio is transcribed in real-time using speech-to-text technology. Second, the resulting transcript is processed by a large language model that has been trained to identify clinical language patterns, extract relevant information, and organise it into the SOAP structure. Third, the draft note is presented to the clinician for review and editing before it is saved.

The quality of the output depends heavily on the quality of the transcription and the clinical specificity of the language model. Good tools will correctly map a patient saying “I've had a tight feeling in my chest for two days” into the Subjective field, while placing the GP's findings from auscultation into Objective, and the clinical impression into Assessment.

Importantly, AI-generated notes are drafts. The clinician reviews, corrects, and approves the output. The AI accelerates documentation; it does not replace clinical judgement.

Privacy Considerations for Australian Clinicians

Patient consultation data is among the most sensitive personal information that exists. Before using any AI documentation tool, Australian clinicians should ask four key questions:

• Where is data processed and stored? Australian Privacy Principle 8 places obligations on entities that disclose data overseas. Tools that route audio or transcripts through servers outside Australia create compliance obligations that many clinicians are not aware of.
• Is patient data used to train AI models? Many AI services include clauses that allow them to use submitted data for model improvement. Clinical data should never be used for this purpose.
• Is audio stored after transcription? Audio files are particularly sensitive. Reputable tools destroy the audio stream immediately after transcription, retaining only the text.
• Is consent obtained from patients? Best practice, and increasingly expected by regulators, is to inform patients that an AI documentation tool is in use and obtain verbal or written consent at the start of the consultation.

How maeda Handles This

maeda was designed by clinicians who asked these questions before writing a single line of code. All data (audio, transcripts, and generated notes) is processed and stored entirely within Australia. Audio is destroyed immediately after transcription. Patient data is never used for AI training. Every note is encrypted at rest with AES-256 and in transit with TLS 1.3.

maeda also provides a patient consent template and workflow so clinicians can document that consent was obtained before the consultation recording begins. The generated note always remains the clinician's document. You own it, you can edit it, and you can delete it permanently at any time.

If you are evaluating AI documentation tools, use these questions as your checklist. Any provider that cannot answer them clearly should not be handling your patient data.