A Clinician’s guide to AI

Artificial Intelligence (AI) is rapidly transforming how healthcare professionals manage admin, clinical notes, and education. For clinicians in Australia and New Zealand, AI offers a way to save hours each week, reduce documentation load, and stay focused on client outcomes – as long as privacy standards are met.

How AI Can Help Clinicians

1. AI-Powered Clinical Note-Taking

PatientNotes (patientnotes.ai): Designed for allied health professionals. Uses AI to convert rough notes or dictated text into clean, structured SOAP notes. Offers pre-set templates and manual overrides.

CliniScribe (cliniscribe.ai): Transcribes live or recorded sessions into formal documentation. Especially useful for high-volume or verbal-style clinicians. HIPAA-compliant with strong security standards.

2. Presentations & Patient Education

Gamma AI (gamma.app): Turn a simple prompt into a slick, interactive presentation. Great for return-to-sport protocols, patient workshops, or CPD.

Canva Magic Design (canva.com): Fast, brand-consistent design creation.

ChatGPT / Claude.ai: Use to generate outlines, patient explanations, or training material in natural language.

3. General Admin Support

Scribe (scribehow.com): Create visual how-to guides for onboarding or repeated admin tasks.

Motion / Reclaim.ai: AI-powered calendar tools that auto-schedule time for notes or breaks.

Flowrite / Gmail Smart Compose: Speeds up client emails or referral follow-ups.

Privacy & Data Protection: What You Need to Know

In Australia and New Zealand, clinics are bound by the Australian Privacy Principles (APPs) or the NZ Privacy Act 2020, which both require:

• Informed consent for data use.
• Secure handling and storage of personal health information.
• Use of platforms that provide reasonable protection against data breaches.

Most reputable AI tools (like PatientNotes and CliniScribe) offer HIPAA-level compliance and encrypt all data in transit and at rest – but you are still responsible for ensuring they meet local legal obligations.

Key Considerations for AI Privacy Compliance in Clinical Settings

When integrating artificial intelligence into clinical practice, it is essential to evaluate each platform against privacy and data protection standards. Below are several key questions clinics should consider, along with the rationale behind each.

1. Does the platform offer encryption in transit and at rest?
This ensures that data is protected at all stages of its journey – both while being transmitted and while stored – reducing the risk of unauthorised access.

2. Can the provider supply a Privacy Policy or Terms of Use that complies with APPs or the NZ Privacy Act?
A compliant privacy policy demonstrates transparency and confirms that the platform aligns with relevant legal obligations in Australia or New Zealand.

3. Is data stored on servers located in Australia or New Zealand, or is it stored offshore with appropriate safeguards?
If data is stored offshore, the platform must provide cross-border protection agreements to meet local regulatory requirements.

4. Can the platform provide a Data Processing Agreement (DPA) or Business Associate Agreement (BAA)?
These documents define the roles and responsibilities of both the provider and the clinic, ensuring accountability for data protection.

5. Is patient consent required or customisable when using AI for documentation?
Consent is necessary when patient data is used for purposes beyond internal clinical documentation, and customisable settings help maintain compliance.

6. Can identifiable data be excluded from AI input?
This is particularly important when using general-purpose AI tools (such as ChatGPT), as it minimises the risk of exposing sensitive information.

7. Does the platform offer user access control, audit logs, or multi-factor authentication?
These features add additional layers of security and accountability, helping to reduce the risk of data breaches or misuse.

For further information and considerations on how AI might influence the profession see the Australian Physiotherapy Association’s comments on AI in their article “Innovation at hand: AI’s impact on physiotherapy“