Simulation budgets are under more scrutiny than ever. Yet for many nursing leaders, the hardest part is not running a great simulation program. It is making the case for one.

I sat down with Samantha Smeltzer, DNP, RN, CHSE, Vice President of Simulation at Orbis Education, to discuss a replicable framework for building the immersive VR simulation case that leadership actually approves. This article synthesizes the four pillars we covered: Dollars, Decisions, Data, and Duration, along with the key tables and figures you can bring directly into your next leadership conversation.

Why the Status Quo Is No Longer Sustainable

Traditional simulation is expensive to run at scale. Physical space, specialized equipment, and intensive staffing ratios create constraints that prevent standardized, high-volume simulation across the continuum. The downstream impact is real: clinical variability leaves learners without consistent exposure to high-acuity events.

According to the 2026 NSI National Health Care Retention and RN Staffing Report, the national RN vacancy rate sits at 8.6%, with an average recruitment time of 78 days. And 65% of hiring leaders report it is harder to find practice-ready graduates today than three years ago.

The cost of doing nothing is measurable. That is where the Value-Based Simulation in Healthcare (VBSH) model comes in.

What Is the VBSH Framework?

The VBSH framework, introduced by Barker et al. in Advances in Simulation (2025), reframes simulation from a cost center to a value driver. Using this framework, my colleagues and I mapped the return on simulation investment across four pillars — Dollars, Decisions, Data, and Duration — to help simulationists make the case for immersive VR. Each pillar addresses a different leadership objection and gives you the concrete evidence base you need to build your argument.

Pillar #1: Dollars — Building the Financial Case

The financial argument for immersive VR is strongest when you compare the total cost of ownership (TCO) over three years rather than the upfront cost alone. Using benchmark data, the sample cases below compare a traditional manikin-based simulation model with an immersive virtual reality (IVR) model, highlighting the savings associated with expanding simulation within academic and hospital-based centers over 3 years using IVR.

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Expense Category

• Hospital CapEx (1 site)
• Hospital 3-Year Total
• Academic CapEx (15 sites)
• Academic 3-Year Total

Traditional Model

• $150,000
• $212,500
• $750,000
• $2,485,000

Immersive VR

• $22,000
• $67,000
• $50,000
• $885,000

Savings

• 85% lower upfront
• $145,500
• $700,000
• $1,600,000

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Beyond capital costs, immersive VR reduces staff logistical setup and reset time by up to 80% and expands cohort density by five times without additional space. That translates to a 3-year cost avoidance of $560,000 for a typical hospital program.

The turnover argument is equally compelling. According to the 2026 NSI Report, the average cost of bedside RN turnover is $60,090 per departure. Every 1% change in turnover rate costs the average hospital $294,976 per year. A simulation program that measurably improves nurse readiness and retention is not a line item. It is margin protection.

Pillar #2: Decisions — Designing a Standards-Based Program

The credibility of your program depends on how it is designed. All immersive VR integration decisions should be explicitly grounded in the INACSL Healthcare Simulation Standards of Best Practice to protect curricular integrity and withstand accreditation scrutiny.

The table below shows how a standards-anchored design looks across two program types.

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Component

• Targeted Gaps
• Pre-briefing
• Facilitation
• Debriefing

Healthcare System

• Rapid response and de-escalation prioritization
• Automated system overviews for residents
• Multiplayer via trained peer facilitator
• Reflection using automated data logs

Academic Program

• Clinical judgment and high-acuity event exposure
• Scripts emphasizing psychological safety
• Peer-to-peer: one learner in VR, cohort observes
• Synchronized PEARLS Framework debrief

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Immersive VR is most defensible as the modality of choice for High-Acuity, Low-Occurrence (HALO) scenarios, where clinical access is limited, and standardization is critical. This is what we call the HALO logic: deploying virtual assets where they create the most differentiated value.

Pillar #3: Data — Turning Metrics into Accreditation Evidence

One of the most underused assets in a simulation program is its own data. Native VR data logs capture time-to-intervention, medication accuracy, and clinical judgment progression in ways that paper checklists cannot. These objective metrics are not just useful internally. They are the language of accreditation bodies.

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Metric Category

• Accreditation Mandate
• Evaluation Output
• Scaling Efficiency

Healthcare System

• Validates competency-based consistency across hospital sites
• 50% of learners reported increased clinical confidence
• Expanded from 20% to 100% lab coverage across 5 sites

Academic Program

• Satisfies AACN Essentials informatics fluencies and clinical hours
• 10% net gain in clinical judgment rubric scores
• Resource commitment reduced from 2 hours to 1 hour per learner

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As Cieslowski et al. (2023) found in their quasi-experimental study of immersive VR simulation training for prelicensure nursing students, objective data collection strengthens both program evaluation and learner outcomes beyond what subjective tools can capture.

Mapping your metrics to specific accreditation standards, whether AACN Essentials for academic programs or ANCC PTAP criteria for transition-to-practice programs, is what transforms simulation data into evidence that leadership can act on.

Pillar #4: Duration — Building a Program That Lasts

The programs that sustain simulation investment over time share two characteristics: sustainability and translation.

Sustainability means the program can withstand operational and fiscal shocks without emergency capital requests. A portable immersive VR fleet eliminates the cost of damaged manikin equipment, protects enrollment capacity during budget cycles, and allows a single faculty member to support significantly higher learner throughput.

Translation means that what learners practice in VR shows up at the bedside. The Translational Framework, or T-Levels, maps that progression.

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T-Level

• T1: Lab Level
• T2: Clinical Level
• T3: Patient Level

Setting

• VR environment
• Debriefing and bedside
• Patient outcomes

What Happens

• Learner masters the protocol in a repeatable, low-stakes setting
• Learner applies the protocol correctly in a real clinical setting
• VR-developed skills improve measurable patient care outcomes

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As Lee et al. (2024) demonstrated in their multi-methods study on immersive VR training for nursing students, gains in nontechnical skills, including clinical judgment and self-efficacy, translate meaningfully to practice-level performance.

Faculty retention is an often-overlooked dimension of duration. Programs that reduce manual simulation labor protect educators from programmatic exhaustion, which is its own form of long-term ROI.

Your Next Step

The framework exists. The data exists. What changes is how you apply it to your context, whether you are making the case for the first time or defending a program you have already built.

Ready to build your case? Download Data, Dollars, and Decisions: The Workbook and work through the four pillars at your own pace, from calculating cost avoidance to mapping your metrics to accreditation standards.