Practical AI and SaaS for Business

AI Tools for Australian Healthcare Practices

Healthcare practices have more to think about when adopting AI tools than most other small businesses. Patient information is among the most sensitive data any organisation handles, and regulatory obligations sit across multiple frameworks. This guide explains what AI tools can safely do for a healthcare or allied health practice, where the legal and professional limits are, and how to approach adoption without creating risk for your patients or your registration.

This article summarises publicly available guidance from regulators and official sources. It is general educational information only and does not constitute legal or professional advice. Requirements vary by jurisdiction. Consult your regional authority or a qualified professional for advice specific to your situation.

AI tools can genuinely save a healthcare practice hours each week on administrative tasks. But healthcare is also one of the few sectors where using the wrong AI tool in the wrong way carries both professional and regulatory consequences. Patient information is treated as sensitive information under the Privacy Act 1988, and it sits within a broader regulatory environment that includes AHPRA professional obligations, the My Health Records Act 2012, state-level health records legislation, and in some cases TGA oversight of clinical software. This guide is for practice owners and managers who want to understand where AI is safe to use, where caution is warranted, and what questions to ask before adopting any new tool.

In short: AI tools are well-suited to administrative tasks in healthcare practices: drafting patient communication templates, writing staff policies, summarising practice meeting notes, creating marketing content, and handling general business correspondence. They are not appropriate for tasks that involve uploading identifiable patient information to third-party servers, accessing clinical records, or supporting clinical decision-making without TGA clearance. The distinction is not just technical: it reflects the different obligations that apply to clinical information versus general business information under Australian law.

Last reviewed: June 2026 | Next review: December 2026

Why Healthcare Practices Need a Different Approach

Most guidance on AI for small businesses applies reasonably well to a retail business, a trades company, or an accounting firm. Healthcare is different for two specific reasons. First, health information is classified as sensitive information under the Privacy Act 1988, which carries stronger protections and more specific obligations than ordinary personal information. Second, healthcare practitioners are subject to professional registration frameworks, primarily through AHPRA, that create additional conduct obligations around how patient information is handled. A misstep that might create a privacy risk for a retailer can create both a privacy risk and a registration risk for a healthcare practitioner.

This does not mean healthcare practices cannot benefit from AI tools. It means the decision about which tasks to use AI for, and which tools to use, requires a few more considerations than it would for a business outside the health sector. The practical answer is to use AI for tasks that do not involve patient information at all, and to take specific steps when patient-adjacent tasks are involved.

AI Tasks That Are Safe for Healthcare Practices

The following tasks do not require patient information and carry minimal regulatory risk for a healthcare practice when handled with common sense. These are the areas where AI tools deliver genuine productivity value without creating compliance complexity.

Drafting patient communication templates. Reception staff spend significant time writing appointment reminders, follow-up messages, recall notices, and general practice communications. AI tools can produce high-quality first drafts for these templates. The key word is templates: you are drafting the message format that staff will use, not using AI to send personalised messages that include patient-specific information. Keep the draft generic, fill in patient details manually or through your practice management system, and AI stays well clear of the patient data boundary.

Marketing and website content. Practice websites, Google Business profiles, social media posts, and newsletters about practice news or general health topics are all reasonable candidates for AI-assisted drafting. Ensure any health-related claims are clinically accurate and reviewed by a practitioner before publishing. AHPRA's advertising guidelines apply to practitioner advertising and should be reviewed before publishing AI-generated health claims.

Staff HR and administration. Drafting job advertisements, employment contracts (for review by an HR professional or lawyer), staff policies, rostering communications, and practice procedure documents are all low-risk AI tasks. None of these involve patient information.

General business correspondence. Supplier communications, landlord and lease correspondence, insurance queries, and other business-to-business communications are well-suited to AI drafting assistance. These are standard small business tasks that AI handles well.

Practice meeting notes (internal, non-clinical). AI-assisted transcription or summarisation of practice team meetings that do not include patient case discussions is a reasonable use case. Do not use AI transcription tools in any clinical context where patient case details are discussed, unless you have confirmed that those recordings are being handled in a way that meets your Privacy Act obligations.

Tasks to Approach with Caution

Uploading any identifiable patient information to general-purpose AI tools. When you type information into ChatGPT, Claude, Gemini, or any similar tool, that information is sent to servers operated by the tool's provider. Most of these providers are based in the United States, which means your data leaves Australia. Under APP 8 of the Privacy Act, disclosing personal information to an overseas recipient requires either the individual's consent or a reasonable belief that the recipient will handle the information in a way consistent with the APPs. Health information, which is sensitive information, carries an even higher standard under APP 3. As a practical matter, do not enter patient names, dates of birth, Medicare numbers, clinical histories, or any information that could identify a patient into a general-purpose AI tool.

Using AI for clinical documentation. AI-generated clinical notes, diagnoses, or treatment summaries are a different category to administrative AI use. Using AI to generate or directly populate clinical records creates both a clinical safety risk (AI can produce plausible but incorrect clinical content) and a professional conduct risk. The RACGP has noted that any AI-generated content entering a clinical record must be reviewed and verified by the practitioner, who retains full responsibility for its accuracy. This is not a prohibition on AI assistance in documentation, but it is a significant responsibility that should not be underestimated.

AI tools that connect to your practice management system. Some AI tools and automation platforms offer integrations with clinical practice management software. Before enabling any such integration, review what data the integration accesses, where that data is sent, and whether the third party handling your patient data is subject to appropriate data handling obligations. Your practice management software vendor should be your first call on this question.

The Privacy Act and Health Information

Health information is defined as sensitive information under the Privacy Act 1988, which means it receives stronger protections than ordinary personal information. A healthcare practice is covered by the Privacy Act regardless of its annual turnover: the small business exemption that applies to businesses with turnover below $3 million does not apply to organisations that hold health information about patients. This covers essentially every healthcare and allied health practice.

The Australian Privacy Principles most relevant to AI tool use are APP 3 (collection of sensitive information requires explicit consent or another permitted basis), APP 8 (disclosure to overseas recipients requires consent or a reasonable belief the overseas recipient will handle information consistently with the APPs), and APP 11 (organisations must take reasonable steps to protect personal information from misuse, interference, loss, and unauthorised access or disclosure). When a general-purpose AI tool receives patient information, APP 8 and APP 11 are the primary areas of concern. The OAIC's guidance on AI and privacy is at oaic.gov.au/privacy/guidance-and-advice/ai.

My Health Records: A Separate Obligation

The My Health Records Act 2012 creates a separate and distinct set of obligations for healthcare providers registered with the My Health Record system. My Health Record data is subject to strict access and use rules that go beyond the Privacy Act. Healthcare providers may access a patient's My Health Record only for purposes related to providing healthcare to that patient, and they must not disclose that information to third parties except in specific circumstances defined in the Act.

Using an AI tool to process, summarise, or otherwise handle information accessed from My Health Record would almost certainly fall outside the permitted use purposes under the Act, and potentially constitute a misuse of the system. If your practice uses or is considering any software that connects to My Health Record, review the Australian Digital Health Agency's guidance at digitalhealth.gov.au before incorporating AI tools into that workflow.

AHPRA and Professional Conduct Obligations

Practitioners registered with AHPRA, which covers 16 health professions including medicine, nursing, midwifery, physiotherapy, psychology, chiropractic, dental, pharmacy, and others, are subject to professional standards that apply to technology use. The core obligation is to maintain patient confidentiality, which extends to how information is handled through technology tools. AHPRA's guidance does not prohibit AI tool use but makes clear that practitioners are responsible for the decisions and outputs that affect patient care, and that professional obligations around confidentiality apply regardless of the technology used.

Specific professions have additional guidance. The RACGP (Royal Australian College of General Practitioners) has published a position statement on AI in general practice, noting that AI should support clinical decision-making rather than replace it, and that practitioners must critically evaluate AI-generated outputs before acting on them. AHPRA's broader code of conduct and advertising guidelines are at ahpra.gov.au/codes-guidelines.

TGA and Clinical AI Tools

Software intended to be used in clinical decision support, diagnosis, or treatment planning may be classified as a medical device under the Therapeutic Goods Administration's Software as a Medical Device (SaMD) framework. If a software product meets the definition of a medical device under the Therapeutic Goods Act 1989, it must be listed or registered on the Australian Register of Therapeutic Goods (ARTG) before it is supplied or used in Australia.

This is primarily relevant for practices considering specialised clinical AI tools, such as AI-assisted diagnostic imaging software, clinical documentation AI with decision-support features, or AI tools marketed for clinical triage. General-purpose AI tools like ChatGPT or Claude are not TGA-regulated, but using them for clinical decision support tasks does not make those tasks any less subject to clinical accuracy and professional conduct expectations. The TGA's guidance on SaMD is at tga.gov.au/products/medical-devices/samd.

Practical Tools for Non-Clinical Use

For the administrative and non-clinical tasks described above, the major general-purpose AI tools, including ChatGPT (Microsoft Azure-hosted Teams version for better privacy terms), Claude, and Microsoft Copilot, can all be used effectively. The key constraint is that patient-identifiable information should not be entered into any of these tools without reviewing their data handling terms, their data residency position, and the APP 8 implications of sending that data overseas.

For document storage, practices that want to keep non-clinical business documents, such as staff policies, practice procedures, and administrative templates, in cloud storage that does not route to US-based servers can consider pCloud, which operates data centres in Europe and allows users to select their storage region. pCloud is not a clinical records solution and does not meet My Health Record system requirements, but it is a reasonable option for general practice business documents where AU or EU data location is preferred. Pricing starts from around AUD $15-20 per month for a business plan.

Your practice management software, whether Cliniko, Nookal, HotDoc, Medical Director, Best Practice, or another system, is the appropriate home for all patient records. These vendors have designed their systems for the Australian healthcare regulatory environment. Supplement them with AI for admin tasks; do not try to route patient data through AI tools that were not designed for that purpose.

Methodology (Real-World, Verified)

We test AI tools against real SMB workflows: the tasks a 20-person business actually uses AI for, not enterprise demos. Pricing is verified in AUD at the vendor's published rates or converted at current exchange rates. Compliance notes reference the legislation and regulatory guidance relevant to each article's scope. Tools are assessed for suitability by a business with no dedicated IT department.

Related reading: our can staff upload customer data to AI tools and our Claude AI review for Australian business.

Can I use ChatGPT to help write clinical notes?

Using ChatGPT to assist with drafting or summarising clinical notes is technically possible, but it involves uploading patient information to US-based OpenAI servers, which raises Privacy Act obligations under APP 8 around overseas disclosure of health information. It also raises clinical accuracy concerns: AI can produce plausible but incorrect clinical content, and the practitioner remains fully responsible for everything in a clinical record. If you are interested in AI-assisted clinical documentation, look at healthcare-specific tools designed for that purpose, which are built with appropriate data handling agreements. ChatGPT is better suited to non-clinical administrative tasks.

Does the Privacy Act apply to small healthcare practices with low revenue?

Yes. The Privacy Act 1988's small business exemption for businesses under $3 million annual turnover does not apply to organisations that provide a health service and hold health information about individuals. This covers essentially all healthcare and allied health practices, regardless of size or revenue. Your privacy obligations apply from your first patient record onwards. The OAIC's health information guidance is at oaic.gov.au/privacy/health-information.

Is it safe to use AI transcription tools for patient consultations?

AI transcription of clinical consultations involves audio recording of patient encounters and sending that audio to a third-party server for processing. This raises Privacy Act obligations (health information being disclosed to an overseas recipient), consent requirements (patients should generally be informed that their consultation is being recorded), and AHPRA confidentiality expectations. Some healthcare-specific transcription tools have been designed with appropriate data handling agreements for clinical use. General consumer transcription tools like Otter.ai or Fireflies are not designed for clinical data and should not be used to record patient consultations without specific review of their compliance position.

Do I need to update my privacy policy to mention AI tool use?

If your practice uses AI tools in any way that affects how patient information is handled, your privacy policy should reflect this. The OAIC's guidance on privacy policies under APP 1 requires that individuals can understand how their information will be handled, including whether it may be disclosed to overseas recipients. If you use AI tools for any purpose that could involve patient information, even inadvertently, updating your privacy policy to explain this is a reasonable step. See the OAIC's guidance at oaic.gov.au/privacy/australian-privacy-principles/app-1.

What should I do before adopting any new AI tool in my practice?

A practical pre-adoption review covers four questions: What data does this tool process, and does it include any patient information? Where does the tool's provider store and process data, and is that consistent with our Privacy Act obligations? Does the tool have any clinical decision-support function that might bring it into TGA scope? And does our practice management software vendor have any guidance on integrating this tool? Answering these four questions before adoption covers most of the significant risk areas. Our AI vendor due diligence checklist provides a more detailed framework for this assessment.

Can my admin staff use AI for patient communication templates?

Yes, with a clear approach. The safest method is to draft template messages using AI without including any patient-specific information, then populate those templates with patient details through your practice management system. This keeps AI handling generic template text only, with no patient data entering the AI tool. Train your reception and admin team on this distinction so it becomes standard practice.

Find official guidance for your region

Requirements vary by jurisdiction. This article provides general information only. Consult your regional authority or a qualified professional for advice specific to your situation.

The information in this article is general in nature. It reflects a summary of publicly available guidance and does not constitute legal, privacy, or professional advice. Your obligations will depend on your specific situation, jurisdiction, and business circumstances. Do not rely on this article as a substitute for qualified legal or professional advice.

If your practice is ready to start using AI tools, the next step is to assess each tool you are considering before introducing it to your workflow. Our AI vendor due diligence checklist covers data handling, security, overseas data disclosure, and clinical risk in a practical format.

Use the AI Vendor Due Diligence Checklist