Fabio Ynoe de Moraes Healthcare System
Fabio Ynoe de Moraes/LinkedIn

Fabio Ynoe de Moraes: AI in Healthcare Isn’t Coming – It’s Already Here

Fabio Ynoe de Moraes, Radiation Oncologist and Associate Professor at Queen’s University, shared a post on LinkedIn:

“Your competitors aren’t just using AI – they’re deploying autonomous agents that act, decide, and deliver ROI while you’re still in meetings about pilots.

If you think “AI in healthcare” means chatbots and dashboards, you’ve already missed the inflection point.
  • 44% of healthcare leaders are live with AI agents
  • 46% are betting >50% of their AI budget on them
  • Hospitals are gaining the equivalent of 35 new beds – without building a single room

This isn’t the future. It’s happening right now.
And the cost of waiting? Obsolescence. Burnout. Missed patients. Lost revenue.
Don’t get disrupted. Get ahead.
Read before your next strategy session – or explain why you didn’t.

The Healthcare System Is Breaking – But AI Agents Are Already Building the Fix.

Let’s cut through the noise with hard truths and harder data:

  • Hospitals generate 50 PETABYTES of data every year – yet 97% of it sits unused, rotting in digital archives while clinicians drown in paperwork (GE HealthCare, 2025).
  • 3 in 10 healthcare workers are actively considering quitting due to burnout (GE HealthCare, 2025).
  • By 2030, the world will be short 11 MILLION healthcare workers – that’s like losing every doctor, nurse, and technician in Germany, France, and the UK… combined (WHO, cited in GE HealthCare, 2025).
  • Meanwhile, 4.5 BILLION people – more than half the planet – lack access to essential care (WHO, cited in GE HealthCare, 2025).

This isn’t a crisis. It’s a collapse in slow motion.

But here’s the twist: AI isn’t coming to healthcare – it’s already here, acting, deciding, and delivering ROI.

The Rise of Agentic AI: From Assistants to Autonomous Co-Pilots

Forget chatbots. We’re now in the era of AI agents—autonomous systems that plan, reason, act, and collaborate across EHRs, labs, imaging systems, and supply chains—under human control, with full auditability (Google Cloud & National Research Group, ROI of AI in Healthcare and Life Sciences, 2025).

And the adoption is explosive:
  • 44% of healthcare & life sciences executives are already running AI agents in production (Google Cloud, 2025).
  • 46% are allocating over 50% of their future AI budget to agents—not experiments, but strategic bets (Google Cloud, 2025).
  • 34% have deployed more than 10 AI agents across their organizations (Google Cloud, 2025).
These aren’t sci-fi dreams. They’re live workflows solving real pain:
  • 39% use agents for inventory tracking & restocking
  • 36% automate document processing
  • 35% deploy agents for regulatory compliance (Google Cloud, 2025)
And the biggest ROI? All tied at 22%:
  • Medical image recognition
  • Patient screening & on-demand care
  • Inventory restocking (Google Cloud, 2025)

Real Impact. Real Numbers. No Fluff.

  • GE HealthCare’s Command Center helped Deaconess Health System treat 2,000 more patients per year—without adding a single bed (GE HealthCare, 2025).
  • Humber River Hospital reduced length of stay so dramatically, it created the equivalent of 35 new beds through pure operational AI (GE HealthCare, 2025).
  • AIR™ Recon DL slashed MRI scan times by 50%—same diagnostic quality, half the wait (GE HealthCare, 2025).
  • And the financial upside? 83% of leaders who saw revenue growth from AI report gains of 6% or more—with 30% seeing revenue increases over 10% (Google Cloud, 2025).
But Here’s the Catch: Trust Isn’t Optional

Data privacy and security is the #1 concern for 37% of executives when choosing LLM providers (Google Cloud, 2025).

That’s why leading orgs are building:

  • Immutable audit trails
  • Dynamic attribute-based access control (ABAC)
  • Automatic PII sanitization
  • Multi-agent architectures with human-in-the-loop oversight (GE HealthCare, 2025)

Because in healthcare, a hallucination isn’t a bug – it’s a potential fatality.

The Bottom Line?

The future isn’t about “AI helping doctors.” It’s about AI agents working alongside clinicians as tireless, precise, data-synthesizing teammates – freeing humans to do what only humans can: care, empathize, and decide with wisdom.

Organizations with C-suite sponsorship see ROI 2x faster (Google Cloud, 2025). Those stuck in “pilot purgatory”? They’ll be disrupted.

“The next big thing in healthcare AI isn’t prediction – it’s action.” — Zafar Chaudry, Chief Digital Officer & Chief AI Officer, Seattle Children’s Hospital (Google Cloud, 2025)

Your Move

Will you: Wait for perfect regulation, perfect data, perfect models?
Or start now—with high-impact, high-automation use cases like prior auth, patient triage, bed flow, or imaging analysis?

The data is clear. The tech is ready. The need is urgent.

The era of passive AI is over. Welcome to the age of Agentic Healthcare.

Agree? Disagree? Seen this in action? Drop your take below.”

AI in healthcare

More posts featuring Fabio Ynoe de Moraes on OncoDaily.