Two Truths and RQI
HeartCode Complete is here. The instructor’s role isn’t over — it’s shifting.
Two things can be true at the same time.
Truth #1: The American Heart Association is betting big on self-directed, manikin-based training. RQI, HeartCode Complete, automated skills stations. It’s not a rumor. It’s shipping.
Truth #2: The role of the instructor is more important than it’s ever been.
Most people in this industry treat these as opposites. Pick a side. Stations or instructors. Technology or humans.
That’s the wrong frame.
My Lane (and My Bias)
I’m not a medical professional. I’m not the person to tell you what is clinically sufficient for every use case. That’s not my lane.
I’m a co-founder of a software platform built for medical training businesses. I’ve led teams that have built large-scale international software. I spend my days on calls with training centers, instructors, and students — working on the unglamorous stuff: registrations, rosters, employer billing, card issuance, compliance.
The way I make sense of what’s happening isn’t clinical. It’s structural. I match patterns across industries. I watch how markets reorganize when technology changes the delivery model.
And the outcome almost always hinges on one question:
Is the job a pure transaction, or is it something more?
What’s Actually Happening
If you were at CASSummit or you’ve been watching the distributor landscape, you’ve seen the shift.
A handful of distributors have reorganized their entire business around manikins and distribution. Companies that used to lead with instructor-led training now lead with “put a station in your facility.” The pitch has changed. The economics have changed. The conversations have changed.
Training centers feel this. Some are leaning in. Some are panicking. Most are in between: watching, waiting, trying to figure out what it means for the classes they run and the instructors they manage.
Your business model is shifting. That doesn’t mean you’re being left behind. It does mean standing still isn’t an option.
The Logic of Replacing Humans
When organizations push to remove humans, they’re optimizing for a few things at once: standardize quality, remove variance, make outcomes more predictable.
For the mechanical layer of CPR — compressions, ventilation, the physical motions — a manikin with integrated sensors does all three better than a human instructor watching from across the room. Compression depth to the millimeter. Rate tracked in real time. Recoil quantified. Perfusion data captured.
Acknowledge it. Give it its due.
And the market conditions made this inevitable. CPR compressions are a mature, saturated market layer. When a layer reaches saturation, what follows is predictable: consolidation, verticalization, automation of the most defined work. That’s what removing the human represents. The natural maturation of the compression layer.
Now hold that alongside this: an industry built on judgment, relationships, and real-time decision-making is not a transaction.
A manikin can measure your compression depth. It cannot teach you what to do when you’re the only person in a daycare and a child isn’t breathing and three other children are watching. Knowing mom has no idea what has happened to her baby.
When Machines Took a Layer — and Humans Moved Up
We’ve seen this pattern before.
ATMs were supposed to replace bank tellers. They took over cash transactions. Tellers per branch dropped from 20 to 13. But branches got cheaper to operate, banks opened more of them, and from the 1980s through 2010, total teller employment grew — even as 400,000 ATMs were installed. The teller role shifted from counting cash to advising customers, handling edge cases, and selling financial products. The machine took the transaction. The human took the relationship.
MOOCs were supposed to replace professors. Free MIT lectures. Millions of students. Content delivery was “solved.” Completion rates across major platforms still hover around 5–15%. Delivering content is the mechanical layer. Teaching is the human layer — accountability, adaptation, reading the room, answering the question the student doesn’t know how to ask. A video can demonstrate CPR. A video can’t see that the nurse in the third row is quiet because she froze in a real code last month and hasn’t told anyone.
Simulators were supposed to replace flight instructors. Today, airline pilots can earn type ratings entirely in a simulator without touching the actual aircraft. But the flight instructor didn’t disappear. The role shifted. With students arriving to lessons already drilled on procedures, instructors spend less time on rote repetition and more time on aeronautical decision-making, judgment under ambiguity, and mentoring — the work a simulator can’t assess. Research shows that the instructor has more impact on student progress than the syllabus or the simulator itself. The machine raised the floor. The instructor moved up the stack.
The pattern is the same every time: machines absorb what’s standardizable. Humans move into what requires judgment, context, and adaptation.
The human layer gets more valuable — because the routine work that used to dilute it is gone.
Three Emerging RQI Models
Not every RQI deployment is the same. I see three.
Model 1 — RQI inside a medical environment. Hospitals and training centers that still run serious instructor-led ACLS/PALS and use RQI stations for low-dose, high-frequency maintenance. Machines keep mechanics sharp. Humans run deep scenarios, team dynamics, and judgment. This is the original simulator dream.
Model 2 — Hybrid station networks. HeartCode Complete plus instructors on the periphery. Stations deployed in existing sites, with instructors and TCs still in the loop for onboarding, remediation, and employer relationships. Machines live at the edge. Humans oversee the network and handle complexity. This is where most training centers can win over the next decade.
Model 3 — Office-only, fully self-directed. A station in an office building, treated as a self-serve resource rather than a training relationship. Instructors are almost completely abstracted away. In practice, this model still depends on humans — small ops teams handling scheduling, troubleshooting, and compliance — but those humans are nowhere near the learner. The human work shifts from judgment in the room to logistics behind a screen.
Most of the marketing noise is about Model 3. Most of the initial success will come from Models 1 and 2.
The Layer That’s Just Beginning
The compression layer is mature. The judgment layer is early-stage.
And when one layer matures, it always exposes the next one.
What is the role of the instructor when compressions are handled by machines — but crisis response, team dynamics, scenario adaptation, employer-specific training, and decision-making under pressure are not?
Nobody has answered that yet.
Early-stage markets require humans. Not because we’re sentimental about the old model, but because discovery is a human function. Machines optimize what’s known. Humans discover what’s unknown.
The same way instructors figured out what good CPR looks like long before anyone built RQI, instructors will figure out what good judgment training looks like in a world of stations and HeartCode Complete. That discovery will happen in real rooms, with real people, in the messy space between a manikin’s data and a patient’s life.
The HeartCode Complete side is starting with an army of humans bridging product and reality — manual scheduling, disconnected checkouts, tracking held together by people, not systems. The “future” is running on past infrastructure.
Both sides are early. Both sides are messy. Both sides are human. What isn’t true: the idea that anyone has arrived.
The people who hold both truths and get to work on the messy middle will be the ones still standing in five years.
What This Means for Instructors
Your value lives in the part that can’t be standardized:
Walking a daycare director through her specific facility and asking, “Where is a child most likely to choke or stop breathing here?”
Dealing with the nurse who froze during a real code and hasn’t told anyone.
Turning a daycare into a practiced team — not 12 people with cards.
Running scenarios that look like their worst day, not the textbook’s.
The instructors who define that next layer first will own it. The ones who wait to be told what their new role is will be waiting a long time.
What This Means for Training Centers
Your job hasn’t changed: fill seats, develop instructors, serve employers.
What’s changing is what “seats” look like:
Some will be manikin stations for mechanical skills maintenance.
Some will be instructor-led sessions for high-context, scenario-based training.
Most serious employers will need both, configured to their risks.
The centers that solve that infrastructure problem early won’t just survive the shift. They’ll lead it.
Your real constraint over the next five to ten years probably isn’t “will RQI exist” or “will instructors exist.”
It’s: Do we have the infrastructure to run whatever mix of manikin stations and instructor-led training our employers and regulators end up demanding — without drowning in admin and DIY tech?
That’s the problem we work on every day.
If you’re trying to hold both truths — run stations AND develop instructors — and you don’t have infrastructure that supports both, let’s talk about what that actually looks like. Reply to this or book a short reality check call. I’ll ask a few questions about how you run things today, show you where the model breaks as RQI grows, and walk through what a sane setup looks like.
No pitch deck. Just your reality and a clearer map.
— Jon