Healthcare in 2040: What Speech Pathologists Need to Know About AI Right Now

I recently spent two days at the Healthcare 2040 Expo - sleeping in a space capsule hotel and sitting in rooms with hospital CEOs, GPs, public health leaders, digital health strategists, and clinicians from across the system.

I filled pages of notes. My brain hit capacity more than once.

But one message repeated itself across every session:

 The future is not coming. It is already here.

As a speech pathologist and AI educator, I want to break down what I heard and what it means for you and your practice.

What Is the Healthcare 2040 Expo?

The Healthcare 2040 Expo brings together leaders from across Australia's health system to explore where healthcare is heading. Sessions covered everything from Australia's national digital health strategy to AI-assisted diagnosis, ambient care technology, and clinician workforce reform.

It is the kind of event that reminds you why stepping away from the day-to-day clinic matters.

The Four Waves of Healthcare Transformation

One framework shared during the conference mapped healthcare evolution into four waves. Understanding where you and your organisation sit helps you plan what to do next.

Wave 1: Digitisation

Moving from paper records to digital systems. Most clinicians are past this stage.. but not all organisations are.

Wave 2: Optimisation

Using data to improve efficiency, reduce admin burden, and improve throughput. This is where AI scribes, Agents and documentation tools live.

Wave 3: Generative Data Retrieval

AI surfaces insights from clinical data for decision support, documentation drafting, pattern recognition. This is where many progressive clinics and hospitals are heading now.

Wave 4: Ambient and Continuous Care

Health moves beyond the clinic. Monitoring becomes continuous rather than episodic. Digital twins (simulations built from patient data) allow treatments to be tested virtually before being applied in real life.

Different organisations are moving through these waves at different speeds. But the direction of travel is consistent.

For SLPs: The shift away from purely one-to-one service models reflects a broader system pattern. Healthcare is moving toward distributed, technology-supported care. The NDIS reform conversation is happening within this same context.

The Third Person in Your Consult Room

This was the quote that stopped me mid-session:

 "There is a third party in your consult room. They arrived before you did. Your patient consulted AI before they consulted you."

Whether we like it or not, clients are already arriving having searched symptoms, asked ChatGPT questions, or explored health advice online before their appointment.

That unseen conversation is shaping the one we have with them.

Understanding this reality is now part of safe clinical practice - not a tech interest, not an optional extra.

3 Themes Every Speech Pathologist Should Be Watching

1. AI Literacy Is Now a Core Clinical Skill

Across every session, the biggest risk identified was not the technology itself.

It was the gap in understanding.

Clinicians and organisations that lack AI literacy are increasingly exposed to misinformation from clients, to inefficient systems, and to missed opportunities for safer, more effective care.

Many organisations are already appointing internal AI champions to guide this work. This is worth noting for clinic owners and team leads.

2. Consumer-Led Health Is Accelerating

Clients are arriving with more data than ever before. Wearables, health apps, and AI tools are allowing people to continuously monitor sleep, heart rate, activity levels, and symptoms.

Sometimes this supports better clinical conversations. Sometimes it generates confusion or misinformation.

Either way, clinicians now need to understand the digital tools their clients are using outside appointments, including AI health tools and apps.

3. Governance Matters More Than Technology

The efficiency gains from AI are real. Examples shared at the conference included:

• AI scribes saving GPs up to two hours per day
• UC San Diego reclaiming over 300,000 staff hours through Agentic AI support

But without governance, interoperability between systems, and human oversight, risks multiply quickly.

Key takeaway: AI is not simply an IT decision. It is a clinical governance issue.

What This Means for Speech Pathologists Specifically

SLPs operate across complex, communication-sensitive caseloads. Our clients are often among the most vulnerable - AAC users, people with acquired communication disorders, early intervention families, and those navigating the NDIS.

That means the stakes of getting AI use right are high. And so are the opportunities.

Here is what this looks like practically:

• Understanding what AI tools your clients are already using (voice assistants, symptom checkers, AI-generated health content)
• Building your own AI literacy so you can evaluate and critically assess AI-generated information
• Knowing when AI tools support your clinical work and when they don't
• Having a governance plan in your practice for how AI tools are used, reviewed, and documented

Frequently Asked Questions

Is AI going to replace speech pathologists?

No. The consistent message across every session at Healthcare 2040 was that AI supports clinical decision-making, it does not replace clinical judgment, therapeutic relationships, or the complexity of human communication. What AI does change is the administrative and research burden on clinicians, and the expectations clients bring to appointments. I don’t think we will see AI taking our jobs as health professionals but we might see our roles and scope of practice change significantly.

Do I need to become a tech expert to use AI safely?

No. You need foundational AI literacy an understanding of how these tools work, their limitations, and how to use them ethically and safely. That is a very achievable goal for any clinician.

Where do I start with AI in my speech pathology practice?

Start with the areas of your work that carry the heaviest administrative load -documentation, report writing, and session preparation. These are where AI tools tend to offer the most immediate time savings, with the lowest clinical risk.

Ready to Build Your AI Literacy?

My AI in Practice online course walks through the foundations clinicians need to understand and use AI responsibly in everyday work. It is practical, clinician-led, and designed specifically for speech pathologists and allied health professionals.

No tech background required.

Explore AI courses and resources → speechpathologyresources.com.au/learn

Work with me 1:1 or in your clinic → Mentoring & Training

Shae Rodgers

Neurodivergent Speech pathologist and AI educator