CLINTIX:BLOG
AI is no longer coming to critical care. It’s already here.
In resus, in the ambulance, at the bedside—algorithms are beginning to influence decisions once made only by humans. They predict deterioration, prioritise patients, suggest diagnoses. Sometimes they outperform clinicians. More often, they reshape the flow of work in quiet, invisible ways.
This series is about what happens next.
It explores the promise: faster triage, earlier recognition, more consistent care. And the risks: bias baked into code, loss of nuance, the temptation to stop asking "why?"
AI won't replace emergency or critical care clinicians. But it will change how we think, how we decide, and how we care. The challenge is not whether to use AI—but how to do so without losing what matters most.
Beyond the Hype: Building Safe, Accountable AI in Australian Healthcare
AI is transforming healthcare — but without governance, it can do more harm than good. In this article, we explore why strong governance frameworks are essential before implementing AI tools in hospitals, and how they protect patient safety, clinician trust, and organisational accountability.
Smarter Triage
As emergency departments face rising pressure and complexity, machine learning tools are being developed to predict who’s safe to wait and who needs the resus bay — now. But while AI can enhance decision-making, it also risks embedding bias, eroding clinical nuance, and obscuring context. In this post, we explore how AI is reshaping triage, and why it must remain a tool for human judgement — not a replacement for it.
A New Nexus
As AI enters emergency departments and ICUs, we're not just handing over data — we're sharing in the power to define truth. Drawing on Yuval Noah Harari’s Nexus, this post explores how artificial intelligence is reshaping clinical decision-making, and asks a vital question: Are we building systems that support our judgement — or replace it?