Building AI-ready health systems: Reflections from Australian Healthcare Week 2026

How will AI transform healthcare in the future? Walking the floor at Australian Healthcare Week 2026, attending panels and supporting Healthcare 2040 Expo in Sydney, it’s easy to get swept up in the vision of a frictionless AI-driven future for healthcare.

From the insightful conversations over the two-day conference, it’s clear that almost every healthcare organisation now sees AI as a strategic priority. But for digital leaders tasked with delivering that future, the conversation is quickly moving past the AI hype and pilots.

The challenge now is building the foundations for an AI-ready organisation, where integrated data-rich systems combine with embedded governance, clinical support, public trust and evolving operating models.

After years of leading technology in healthcare, joining the Equal Experts team at the event offered a fresh perspective on this shift and how leaders can build a health system that is AI-ready by design.

AI and the future of healthcare

Across healthcare, organisations are moving at different speeds with AI. Some are running clinical pilots and establishing governance frameworks, while others are focusing on data readiness and infrastructure modernisation.

It was a key thread that Andy Canning, MD and CTO at Equal Experts APAC, shared while appearing on a panel discussion: “Creating a 15-year AI Roadmap: How will care be redefined by AI over the next 15 years?”

During the lively discussion with fellow panellists Jayne Barclay (St Vincent’s Health Australia) and Suzie Miller (Victorian Virtual Emergency Department), with Dr Louise Schaper moderating, Andy highlighted that the defining challenge for 2026 is shifting from AI hype to operational reality.

To move beyond the pilot phase and gain real-world value, organisations need a strategy built on strong foundations across data, infrastructure, governance, and culture. These elements are essential to balance innovation with trust while achieving sustainable clinical outcomes.

Assessing AI maturity

AI maturity and an organisation’s readiness to adopt AI at scale can vary across these different areas. While some organisations may be confident in their strategy and approach, they may have gaps in their processes or internal culture.

At the event, Equal Experts helped organisations better understand where they stood on the AI journey, providing a live walkthrough of the AI Governance Maturity Assessment tool.

In just 5 minutes with ratings across 20 factors, leaders gained a personalised report of their organisation’s AI readiness, including an instant score and actionable recommendations across 5 key AI governance pillars: Alignment & Strategy, Data & Technology, Operations & Monitoring, People & Culture and Trust & Governance.

Success will be driven by much more than just technology

However, the future of AI in healthcare won’t be driven by technology capability alone.

Other forces will play major roles, including healthcare funding models, hospital mergers and system integration, regulatory reform, workforce changes, and public trust in digital health technologies. These broader trends will heavily influence how quickly AI becomes embedded in everyday healthcare delivery.

These ideas also appeared in discussions from our exclusive roundtable “AI by Design in Healthcare: Beyond the hype to real-world value”. We brought together 16 digital leaders for an evidence-based discussion on how AI innovation is reshaping care and operations across Australia.

Key themes from the discussion included:

• Leaders are looking beyond ambition with AI-driven transformation: The focus has now shifted toward the practicalities of better data, AI integration, responsible use cases and system sustainability.
• Internal friction slows AI more than regulation: Board approvals, too many committees, funding cycles, fragmented systems, and poor APIs can be bigger barriers than regulation. Focusing on fewer, scalable initiatives rather than many pilots and embedding governance within current practices helps organisations move faster.
• Human-in-the-loop must be meaningful: AI should support clinician judgement with intuitive workflows and real-time savings. If interaction isn’t natural or helpful, clinicians simply won’t use it.

Early insights from our AI by Design in Healthcare research

The impact of AI in Australian healthcare is something we’ve been uncovering as part of our AI by Design in Healthcare research, and we were excited to share what we’ve been hearing from the sector’s most experienced leaders during the event.

Equal Experts is currently on a mission to uncover real-world actionable insights on what is different about AI in healthcare and what is required to scale AI safely, responsibly and effectively. Through our conversations with leaders and our online survey, we’ve been exploring where real value with AI can be found and how teams are keeping patients and clinicians at the centre of innovation.

While the research is still ongoing, three key themes have already emerged:

1. A leadership priority: AI has moved beyond the IT department, with the Executive Leadership Team, Board and Ethics Committees all involved. It’s forcing a closer link between leadership, technology and clinical service delivery.
2. Data foundations matter: AI success depends on strong, clean and accessible data. Investment is shifting towards data platforms, analytics and security to ensure AI is safe and scalable.
3. The end of silos: Unlike previous tech rollouts, AI demands a whole-of-organisation shift with unified governance, policy, training, projects and operational oversight replacing piecemeal pilots.

How to get involved with the research

Thank you to everyone who has already taken the time to complete the survey and chat with the team. There is still time to join the conversation and share your perspectives.

• Take our conversational AI survey and let our chatbot guide you through a short series of questions. All answers are anonymous, and it’s an easy way to provide your insights in your own time, with minimal effort.
• Book a short, confidential chat with our team to discuss your experiences with AI in healthcare.

By participating in our AI by Design in Healthcare research, you’ll not only help shape an evidence-based view of the sector’s progress, but you’ll also get early access to the final report in Q2.

Final thoughts

Australian Healthcare Week 2026 demonstrated that AI is firmly on the sector’s radar, but real progress depends on practical constraints, including legacy technology, data siloes, funding availability, skilled workforce capacity, and organisational bandwidth.  While these challenges are not new, AI is introducing innovative approaches to address them within healthcare.

Many health systems are balancing AI ambitions with other major priorities like workforce shortages, hospital demand, and system upgrades. They simply don’t have time for pilots that fail to deliver value or approaches that don’t have patient care or clinical safety built in at the core.

If your organisation is navigating the complexities of AI governance, struggling with data silos, or looking to move beyond “pilot paralysis” into more meaningful, scaled value, don’t hesitate to contact the Equal Experts Australia team for a chat.

About the author

Ken Gallacher is a commercially savvy, delivery-focused digital executive with over 30 years’ experience leading high-impact transformations, both as a CIO and as a Partner at Big4 consulting firms. Ken brings a wide range of industry experience across healthcare as well as financial services, government, media, education, manufacturing and retail sectors. Connect with Ken on LinkedIn.