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thinkBIG
Cutting through the AI hype
Chapters
1 The AI journey every business is taking
Learn about AI, how businesses are using it, and what the latest trends show us
2 Understanding AI risks
Common AI risks and legal considerations, plus how to protect your business
3 Developing an implementation roadmap
Step-by-step implementation roadmap for effective AI adoption
4 Making AI part of everyday work
Leadership’s role in AI adoption and how to overcome staff hesitation
5 Measure, iterate and improve
Why AI adoption can never be ‘set and forget’
Cadent Cardiology is a private cardiology practice based in Albury, NSW which undertakes all patient procedures out of Epworth Richmond Private Hospital.
It is home to A/Prof Naylin Bissessor MD PhD, one of Australia’s most respected interventional cardiologists.
Managing Director of Cadent Cardiology, John Wilson, says AI has fundamentally reshaped how the business supports its patients – from adding an extra layer of oversight with diagnostic results to streamlining communications with referring GPs.
“We use an AI scribe built on a language model trained specifically for cardiology, and the results have been impressive. It can convert a patient consultation into a comprehensive clinical letter for the GP while identifying any need for external referrals. This saves cardiologists significant time as they only have to read and approve it, or make minor edits where required.
“Our practice is also the largest regional remote monitoring practice of its kind in Australia. Dr Bissessor was heavily involved in the development of some of the first insertable cardiac monitors (ICMs) introduced to the Australian market. ICMs, commonly referred to as ‘Loop Recorders’, continuously track patients’ heart activity to help clinicians make informed treatment and management decisions. These devices produce extensive data so, along with other diagnostic technologies we use, AI adds a very valuable additional layer of scrutiny and interpretation.”
John says AI is streamlining countless routine tasks for cardiologists, helping them increase patient capacity at a time when medical skills shortages are acute.
“The healthcare system has highly trained people spending far too much time on repetitive administrative tasks. If AI can give us back even 15% of that time, the compounded productivity gains will be enormous. It won’t replace clinical judgement, but it can ensure the right information is in front of the right people at the right time.”
For practices considering AI adoption, John recommends starting small and building user confidence.
“In healthcare it’s critical to choose solutions with exceptional accuracy, privacy, governance and security. Then once you have a solution, start with something basic. For example, you might ask the medical professionals to test an AI notetaker. From there they can build experience and confidence, which only comes from use and visibility into the benefits of the outputs.
“I’ve seen medical professionals go from being 30-40 minutes behind on appointments, to being on time every time thanks to AI. I’ve also heard feedback from GPs that the quality of referral letters has increased 10 times. We are miles ahead of where we were 12 months ago, and the same will be true 12 months from now. And fortunately, it’s the patient in the centre benefiting most from this new capability.”
This case study is featured in our thinkBIG report, Cutting through the AI hype: A practical guide to AI for SMEs.
Contributors
Ready to put AI to work in your business?
Whether you're exploring AI for the first time or looking to build on existing capabilities, RSM can help you identify opportunities, manage risks and develop a practical approach to AI adoption.
Ready to put AI to work in your business?
Whether you're exploring AI for the first time or looking to build on existing capabilities, RSM can help you identify opportunities, manage risks and develop a practical approach to AI adoption.