PCS.ai · NP Education
Post-NONPF 2026 Webinar Recap for NP Faculty & Simulation Coordinators
Virtual Patients · Clinical Simulation · AI in Education
If you stopped by our booth at NONPF this year, we hope you walked away with something useful. But booth conversations have their limits — they're short, they get interrupted, and there's rarely enough time to really go deep.
This webinar was designed to change that. Same conversation, more room to breathe.
Here's what we covered.
[Watch The Recorded Presentation]
Context
Why NP Programs Are Looking at Virtual Patients Right Now
The pressures driving NP programs toward virtual simulation aren't new — but they've intensified. Faculty are stretched thin, standardized patient scheduling is harder to coordinate than ever, and clinical placement spots remain scarce. At the same time, demand is growing for flexible, remote-friendly learning that doesn't sacrifice clinical reasoning practice or assessment rigor.
| Demand for flexible & remote learning |
Clinical placement shortages |
| Increased emphasis on clinical reasoning |
Need for scalable assessment |
| Faculty bandwidth limitations |
SP scheduling constraints |
Market Landscape
An AI Gold Rush — and a Crowded Market
We're in the middle of what we'd call an AI gold rush across healthcare education. Practically every platform is adding some form of AI capability right now — conversational patients, automated debrief engines, scoring tools, authoring assistants, EHR grading. It's exciting. It's also a lot to sort through.
And there's often real institutional pressure layered on top: pressure to adopt AI, to be seen as keeping pace, to have an answer when leadership asks. Which makes having a clear evaluation framework more important than ever.
Evaluation Framework
Three Strategies for Evaluating Virtual Patient Platforms
A Strategy A
Apply Traditional SP Standards
Most NP faculty know the criteria for a strong SP encounter — consistent portrayal, staying in role, handling curveballs without breaking character, and bringing emotional authenticity to the encounter. Those criteria exist for a reason — simulation only has educational value when it's reliable.
The same logic applies to virtual patients. When evaluating a platform, ask: Does it stay in role, or does it default to "assistant mode"? Does it deliver a consistent, standardized experience every time?
These aren't nice-to-haves. They're the baseline.
—Stays in role — doesn't default to assistant mode
—Consistent, standardized learner experiences
—Stable clinical presentation throughout the encounter
—Manages unexpected learner questions without breaking simulation
—Realistic affect, tone, and dynamic progression
B Strategy B
Apply a Simulation Framework
As AI has become more capable, a wave of products has emerged that are engaging and interactive — but aren't actually simulation. They're conversation. Authentic simulation requires three core elements:
—Autonomy — learners choose what to ask, assess, and prioritize. If the platform guides them step by step, it's a tutorial, not a simulation.
—Consequence — the patient's behavior and clinical trajectory change based on learner decisions. Without consequence, there are no stakes — and without stakes, no real learning pressure.
—Cognitive Load — real clinical practice demands synthesis, communication under pressure, and competing priorities. A simulation that removes that load isn't preparing learners for the reality they'll face.
C Strategy C
Evaluate the People Building the Platform
This one gets overlooked most often, and it may be the most important. You're not just buying a product — you're choosing a partner. The question isn't just "what does this platform do today?" It's "who is building this, and where is it going?"
Right now there's a meaningful divide between platforms that have bolted AI on to an existing system and platforms that were built from first principles with AI at the foundation.
—Bolt-on AI: plug-in integrations, third-party LLM dependency, externally dictated roadmap
—AI-first: simulation-specific training data, in-house technical capability, user-driven roadmap
—Ask: is this platform's intelligence owned — or rented?
PCS.ai Position
"Many companies are using AI. We are building AI."
PCS.ai describes itself as the AI company of healthcare simulation — built from first principles over a decade, not assembled from third-party components. When our co-founder and CEO was asked to describe PCS in one sentence, his answer was direct:
"PCS is the AI company of healthcare simulation."
— Balázs Moldoványi, Co-founder & CEO, PCS.ai
That's not a pitch — it's a description of the strategy the company has been executing for a decade. Here's what that distinction looks like in practice:
|
Bolt-On AI
—Plug-in integrations
—Third-party LLM dependency
—Legacy system + AI wrapper
—Roadmap dictated externally
|
AI-First (PCS.ai)
—Built from first principles
—Simulation-specific training data
—In-house technical team
—User-driven roadmap
|
Real-World Adoption
What Scale Actually Looks Like
One of PCS.ai's largest NP program partners is a fully-online program that has made virtual simulation central to its clinical reasoning curriculum. Since 2023, they've used PCS Spark across acute care, mental health, and primary care courses — running both practice assignments and high-stakes final simulations.
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142,040
Simulations completed
|
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89,013h
Total time in simulation
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9.7M
Learner questions asked
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Beyond the numbers, this program is a genuine partner in building the platform. At their request, PCS developed complex procedure simulations — central line, endotracheal intubation, arterial line, paracentesis, thoracentesis — and continues to co-develop new scenarios. That's what "roadmap dictated by users, not externally" looks like in practice.
Ready to see it for yourself?
Schedule a demo and explore how PCS.ai works for NP programs like yours.
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Schedule a Demo → |
From Vision to Impact — in practice.
