AI in Australian healthcare: New research into how 100+ health leaders are scaling innovation

In recent months, a growing frustration has emerged in Australia’s healthcare landscape. While the appetite for AI is strong, the reality of delivering safe, secure solutions that work for clinicians, staff and patients remains a complex, sector-wide challenge.

In an environment with little room for trial and error, there is a collective desire to move beyond experimentation and into practical action. At key industry events across the country, including Australian Healthcare Week and Digital Health Festival, we’ve heard leaders asking why pilots are stalling, discussing where legacy tech is blocking innovation and thinking about how to focus their efforts for the greatest impact.

To help answer those questions, we spent the last six months pulling back the curtain on the state of AI adoption in Australia, and we’re sharing those findings in our new report, AI by design in healthcare.

Based on evidence from more than 100 digital health leaders representing hospitals, allied health, primary care, aged care, digital health, health networks and vendors, it serves as an objective baseline on AI adoption in the sector. With real-world insights, practical guidance and an AI maturity assessment, it is designed to help leaders move forward with confidence.

What we heard from 100+ digital health leaders across Australia

Our research, which included one-on-one interviews, executive roundtables, panel discussions and survey responses, confirms that while AI is a top priority, the sector is facing a consistent set of structural hurdles.

While 75% of leading healthcare organisations in Australia are already experimenting with AI solutions, the path to delivering real value is often blocked by ageing infrastructure, fragmented data, and inflexible processes.

If you feel your organisation is hitting a wall, the data suggests you are in the majority.

• The operating model bottleneck: 65% of respondents rated their organisation’s operating model as 1 or 2 out of 5 for AI maturity. Many leaders highlighted that current ways of working haven’t adapted to the speed of AI.
• The data and infrastructure gap: 38% of survey respondents shared that their tools, platforms and technologies aren’t ready for AI, while 40% of leaders rated their data management maturity at just 1 or 2 out of 5.
• The governance vacuum: 33% of respondents rated their organisation’s AI ethics, governance, and monitoring as poor, with many leaders highlighting that formal AI governance structures are still being built.

A practical path forward: Ground, Grow and Go-Beyond

The organisations reaching a deeper level of AI maturity are following a distinct, disciplined path. Rather than running with every new AI tool or idea, they’re focused on how AI can solve specific problems and are tackling the structural foundations required to scale it.

We’ve categorised this journey into three critical phases:

1. Ground: Secure the foundations
   Leaping into AI without the right foundations across data, infrastructure, governance, and clinical culture is a high-risk strategy. It leads to stalled projects, wasted investment, and regulatory infringement. The priority must be securing the groundwork required for safe, responsible innovation.
2. Grow: Focus on value over novelty
   With the foundations in place, the challenge becomes finding the right focus area. Success comes from identifying the specific use cases where AI can solve a real-world problem and deliver measurable value today for staff, clinicians, and patients.
3. Go-Beyond: The whole-of-organisation shift
   To manage clinical risk beyond single pilots, organisations must move away from silos and treat AI as a whole-of-organisation evolution. This means embedding AI across people, processes, and governance to create a truly AI-augmented health service.

From insight to action: Benchmark your AI maturity

We didn’t want to publish another report that simply describes the problem. Alongside our research findings, the report contains real-world practical guidance to help organisations adopt and scale AI safely and securely across five core pillars:

• Strategy and Alignment: Connecting AI goals to clinical and organisational priorities.
• Data and Technology: Building the foundations for AI-ready infrastructure.
• Operations and Monitoring: Scaling AI safely and securely
• People and Culture: Augmenting the workforce while building AI literacy and trust
• Trust and Governance: Creating the ethical guardrails for safe innovation.

The guide also includes exclusive access to our AI Maturity Model, allowing you to assess your organisation’s readiness across these five pillars. In just 5 minutes, you can gain a personalised report including:

• An instant score based on 20 AI maturity indicators
• Actionable recommendations across the five core pillars
• A 90-day roadmap to move from experimentation to scalable action.

Securing the future of care

The AI landscape in healthcare already looks radically different than it did 18 months ago. In another 18 months, it will be unrecognisable.

The healthcare organisations that Ground their strategy in solid foundations today will be the ones positioned to Grow with AI transformation and Go Beyond in the future. Those who fail to act risk losing the efficiency and insight required to provide high-quality care in an increasingly AI-driven world.

Download the report to access the research insights and our AI Maturity Model now.

If your organisation is navigating the complexities of AI governance, data silos or legacy platforms, the Equal Experts Australia team is here to help you translate AI potential into real-world impact. Contact us to start a conversation.

About the author

Andy Canning is the Chief Technology Officer and Managing Director for Equal Experts APAC. With a technology career that spans the globe, Andy has been at the forefront of innovation for more than 30 years and is on a mission to revolutionise the business landscape through the transformative power of AI. Specialising in delivering customer-centric, business-driven solutions using leading-edge technologies and agile methodologies, Andy seeks to harness the potential of artificial intelligence to not only solve complex business challenges but also enhance user experiences and improve productivity. Connect with Andy on LinkedIn