by The Computing Australia Group | 
In a busy practice, bookings, recalls, forms, billing queries and clinical notes quietly fill every gap in the day. Used carefully, AI for medical practices can take a real share of that load, so clinicians and reception staff get time back for patients.
However, healthcare is not like other industries. Patient information is sensitive, clinicians stay accountable for every record, and some AI tools now fall under medical device rules. This guide covers where AI genuinely helps an Australian practice, what the TGA, Ahpra and the Privacy Act expect, and how to start safely.
Updated 2 November 2026
What’s changed for AI in Australian healthcare
- TGA digital scribe review (16 Oct 2026). The TGA updated its guidance and reported that most of the scribes it reviewed had features, such as suggesting diagnoses or treatments, that may make them medical devices.
- AI scribes are now mainstream. InSight+ reported in August 2026 that about four in 10 GPs use an AI scribe, according to an RACGP poll.
- Automated decision transparency (from 10 Dec 2026). Organisations covered by the Privacy Act must explain in their privacy policy when computer programs make, or help make, significant decisions about people.
Why AI for medical practices matters now
Administration keeps growing while clinical time stays fixed. As a result, many practices now see AI as a practical way to reduce after-hours charting, missed appointments and repetitive phone work. In fact, AI scribes have moved from early trials to everyday use in general practice.
At the same time, regulators have become much clearer about the rules. That is good news, because it means a practice can adopt AI with a plan rather than guesswork. The safest gains usually start in the front desk and back office, where errors are easy to spot and fix.
Where AI helps most: the front desk and back office
These everyday tasks are good first candidates for AI for medical practices, because they repeat often and staff can easily check the results.
Bookings and reminders
Automated reminders with easy confirm or reschedule links help reduce no-shows and refill cancelled slots.
Forms and intake
Online forms can pre-fill patient details and flag missing fields before the appointment, rather than at the desk.
Inbox and phone triage
An AI assistant can sort messages and draft replies to routine questions, while staff approve anything that matters.
Billing checks
Automation can spot incomplete claims or missing details before they are lodged, so fewer are rejected.
Recalls and follow-ups
Reminders for recalls, results and repeat visits can be generated automatically and reviewed in one place.
Reporting
Document processing and dashboards turn appointment, billing and wait-time data into clear monthly reports.
In each case, a person stays in the loop. For example, staff review drafted replies before sending, and the practice decides which reminders patients receive. Our business process analysis work can help you find which of these tasks would save the most time.
AI scribes and clinical documentation
AI scribes listen to a consultation and draft a clinical note for the practitioner to review. Many GPs report less after-hours typing and more eye contact with patients. Even so, Ahpra and the RACGP are clear that the practitioner remains responsible for the record, whatever tool produced the draft.
Before you roll out a scribe, check each of these points:
- Patient consent. Explain the tool and get consent before each recording. The RACGP notes that recording a private conversation without consent is an offence in some Australian jurisdictions.
- Review every note. Ahpra expects practitioners to check AI-generated records for accuracy and relevance before they become part of the file.
- Know what the tool does. If a scribe suggests diagnoses or treatments you did not state, the TGA may regard it as a medical device. Ask the vendor how it is regulated and whether it is on the ARTG.
- Check where data goes. Confirm where recordings and notes are stored, how long they are kept and who can access them.
- Talk to your insurer. The RACGP recommends checking with your medical defence organisation or indemnity insurer before you start.
Clinical decision support: what Australian rules say
AI that helps interpret results, flag risks or suggest treatment is a different category from admin tools. In Australia, software intended to diagnose, monitor or recommend treatment can be a medical device under the Therapeutic Goods Act. In that case, it generally needs to be included in the Australian Register of Therapeutic Goods (ARTG) before it can be supplied, unless an exemption applies.
For a practice, the practical rules are simple. First, choose clinical AI from suppliers who can show how their product is regulated in Australia. Second, treat its output as advice, not a decision, because Ahpra expects practitioners to apply their own judgement. Finally, record how the tool is used in your clinical governance and train staff on its limits.
Where we fit. We are not a clinical software vendor, and we don’t advise on diagnosis or treatment. Instead, we help practices with the technology around these tools: secure set-up, access controls, data handling, staff training and the policies that keep AI use visible and accountable.
Privacy and security for AI in medical practices
Health information is sensitive information under the Privacy Act, so it needs extra care. The OAIC advises organisations not to enter personal information, and particularly sensitive information, into publicly available AI tools. In practice, that means approved tools only, with clear settings and access controls.
In addition, from 10 December 2026 your privacy policy may need to explain where computer programs make, or help make, significant decisions about patients. Meanwhile, the basics still matter most: multi-factor authentication, patching, tested backups and staff who can spot a phishing email. Our cyber security services and cyber security audits cover these foundations. If you use Microsoft 365, it is worth reviewing who can see which files before you turn on Copilot. Our guide to Copilot and ChatGPT explains the difference.
A practical roadmap for AI for medical practices
A steady, staged approach protects patients and staff. In our experience, three steps work well.
Start with one task
Pick one repeated admin task, such as appointment reminders, and agree what success looks like before you begin.
Set the rules
Write an AI use policy, consent scripts and review steps, then confirm data storage and security settings.
Pilot, measure, scale
Run a short pilot, track time saved and error rates, and expand only once staff and clinicians are confident.
Useful measures include no-show rates, time spent on notes after hours, claim rejections and how long patients wait on the phone. Above all, ask staff and patients for feedback, because a tool that saves time but frustrates people will not last.
How we help practices use AI safely
Practical AI, with security from day one. We are training models on more than 200,000 historic service tickets to classify, summarise and route requests. We have also rolled out Microsoft 365 Copilot for clients and built workflow automations and AI assistants, and our own teams use AI tools every day.
Our AI consulting and automation team offers AI opportunity assessments, workflow automation, AI assistants, AI tool setup and integration, document processing and reporting, and AI training and support. We can also prepare Microsoft 365 for Copilot by reviewing permissions first, and help you write an AI use policy. Pilots are designed to show results within weeks.
AI for your practice
Find the right first AI project
Tell us which tasks take up your team’s day. We will suggest a safe, practical starting point and plan the security and privacy steps with you.
Frequently asked questions
Is AI safe to use in a medical practice?
It can be, when it is chosen and governed carefully. Start with admin tasks that staff can easily check, use approved tools only, and keep a person responsible for every output. For clinical tools, check how they are regulated in Australia.
Do we need patient consent to use an AI scribe?
Yes. Ahpra and the RACGP both expect practitioners to inform patients and obtain consent before using an AI scribe. Some medical defence organisations require written consent, so check with yours.
Is our AI scribe a medical device?
It depends on what it does. A scribe that only transcribes and structures a conversation is generally not a medical device. However, one that suggests diagnoses or treatments the practitioner did not state may be. Ask your vendor and check the TGA’s guidance.
Responsibility and getting started
Who is responsible if an AI-generated note is wrong?
The practitioner. Ahpra’s guidance makes clear that clinicians remain accountable for records and decisions, regardless of the technology used. That is why every AI draft needs a careful review.
Will AI replace our reception or admin staff?
In most practices, no. Instead, it takes over repetitive tasks so staff can focus on patients, complex bookings and the problems that need a human touch.
Where should a practice start?
Choose one repeated admin task, set clear rules for consent, privacy and review, then run a short pilot. That is how most successful AI for medical practices begins. Once it works, you can extend the same approach to other areas.
Sources and further reading
- TGA — New information on digital scribes
- Ahpra — Artificial intelligence in healthcare
- RACGP — AI scribes fact sheet
- InSight+ — AI in health care: what Australian GPs should know
- OAIC — Privacy and the use of commercially available AI products
- Gilbert + Tobin — Automated decision-making transparency under the Privacy Act
This guide is general information, not legal or clinical advice. Last reviewed 2 November 2026.
About the author
David Brown
Director (Coding Services), The Computing Australia Group
David leads CAG’s coding and development division, delivering websites, web applications and custom software for clients. An experienced Ruby on Rails developer with a strong interest in AI, he builds fast, reliable products that people enjoy using. His advice to every client is simple: watch how real users interact with your site or app, because their behaviour shows you what to improve next.
