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Imagine this.

You walk into a quiet training room at night. A single mannequin sits on the table. You put on a headset… and suddenly you’re holding the beating heart of a premature newborn in your hand—practicing a life-saving procedure with zero risk.

That’s the VR demo circulating on LinkedIn right now. And it shows one thing with painful clarity. Traditional training can’t keep up with the complexity of real-world operations anymore.

Not in healthcare.

Not in manufacturing.

Not in enterprise.

And after building the endoscope training system with Karl Storz, I can tell you—this shift is only getting started.

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Practical Use Case: Tube-Feeding Workflow in VR

In the post below, you will see a short video of a neonatal tube-feeding simulation built in VR.

The setup is simple. A nurse stands in front of a mannequin while the headset overlays a full procedural workflow. Every action is guided, tracked, and corrected inside the simulation. It is a straightforward demonstration, but it highlights an important shift.

Critical training is moving away from physical mannequins and observation and into structured, repeatable simulation environments.

This video is a clear example of where healthcare training is heading.

The Limitations of Traditional Neonatal Training

Neonatal procedures have no tolerance for uncertainty, yet most training still depends on mannequins and ad hoc shadowing.

These methods create unavoidable gaps. They cannot replicate variations in anatomy. They cannot demonstrate internal alignment. They cannot track micro-errors. And they cannot scale across locations or ensure that every trainee receives the same level of instruction. Critical care environments require predictable outcomes.

Traditional tools were never designed for that level of precision.

How VR Improves Skill Development in High-Risk Procedures

VR introduces structure and measurement into workflows that were previously inconsistent.

In the neonatal simulation the trainee receives guided instructions, real-time feedback, and the ability to repeat the full procedure until performance is reliable. This is the same pattern we saw when building the endoscope training system for Karl Storz. Their challenge was identical. Junior staff learned by watching experts. Competency depended on the luck of available cases. Through VR, they gained a standardized training process that covered entire workflows, rare edge cases, and error recognition in a safe environment.

The result was faster readiness and fewer mistakes once staff entered real clinical settings.

Why This Matters for Healthcare and Other Skilled Industries

Simulation-based training is becoming the operational baseline across sectors with high-precision tasks.

Healthcare. Manufacturing. Maintenance. Logistics.

Any environment that requires accurate, repeatable workflows benefits from VR because it offers the one thing traditional training cannot. Controlled repetition.

This leads to shorter onboarding, lower error rates, better compliance, and a workforce that arrives prepared.

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That’s a wrap!!

Talk soon!

Bruno Filkin
Founder, Mastermind VR