The short answer
You do not need to understand the technology. You need to identify the repetitive written and administrative work in your practice, hand a narrow slice of it to a tool, keep a human reviewing the output, and measure the hours returned. That is the whole strategy.
You do not need to understand how these tools work, any more than you need to understand your autoclave's firmware. You need to know which hours in your week are being wasted on language and admin, and which of them a tool can now absorb.
Start where the work is words
- Drafting patient communication, recall messages and post-treatment explanations.
- Turning clinical explanations into plain language a patient can act on.
- Summarising and analysing monthly performance data into three things worth discussing.
- HR and policy paperwork, position descriptions, meeting agendas and follow-ups.
Simplify before you automate
AI accelerates whatever it finds. If a process is unnecessary, automating it just means doing the wrong thing faster and more consistently. Delete first.
Privacy is not optional
Patient information is health information under Australian privacy law. Identifiable patient data does not go into consumer AI tools. De-identify inputs, choose products with appropriate terms, and write down internally what staff may and may not paste into a chat window.
The test
Name the hour it gives back and who gets that hour. If nobody can name it, it is a hobby, not an implementation.
Where this gets solved
Practical AI in practice →Written by
Rhea Jain, founder of Swift Transformations Pty Ltd and owner-operator of a multimillion-dollar Australian dental practice, with a BSc in Psychology and a Master of Human Resource Management.
Last reviewed .