Choosing a healthcare simulation manikin is one of the most consequential decisions a simulation program makes, and it’s also one of the most commonly rushed. A piece of equipment that costs tens of thousands of dollars and is expected to last a decade or more deserves more than a vendor demo and a spec sheet comparison. It deserves a process.
This playbook walks you through that process: the questions to ask, the order to ask them in, and the decision points that matter most. Whether you’re equipping a new sim lab from scratch or making the case to upgrade an existing one, the same logic applies.
Step 1: Start With Your Learners, Not Your Wishlist
Before you look at a single product page, get specific about who you’re training and what they need to be able to do. Are your learners pre-licensure nursing students building foundational clinical skills? New graduate nurses transitioning to high-acuity units? Interprofessional teams training for obstetric emergencies? Each of these groups has different needs, and a simulator that serves one well may be the wrong investment for another.
Write down the three to five clinical scenarios your program most needs to run.
What patient population do those scenarios involve?
What level of physiological realism do they require?
What learner actions need to be possible?
This exercise alone will eliminate a significant portion of the equipment options on the market and sharpen your conversations with vendors considerably.
Step 2: Match Fidelity to Learning Objectives
Fidelity is not a proxy for quality. A high-fidelity manikin is not automatically the right choice just because it is the most sophisticated option available. The right fidelity level is the one that matches your learning objectives at the most efficient cost and complexity point.

For procedural skills, task trainers and mid-fidelity manikins are often the better fit. When a learner is developing the muscle memory for IV insertion, urinary catheterization, or wound assessment, they need realistic anatomy and honest tactile feedback. A full physiological model adds cost and complexity without adding meaningful educational value for those objectives.
High-fidelity manikins earn their place when learning objectives involve dynamic clinical reasoning, team communication under pressure, or physiological responses to intervention. Postpartum hemorrhage management. Septic shock recognition and response. Pediatric respiratory failure. These are scenarios where the realism of the physiological model directly shapes the quality of the learning.
Step 3: Know Your Patient Population
Simulation manikins are designed around specific patient populations, and the match between simulator and patient population matters both for clinical realism and learner engagement.
If your program focuses on adult acute care, a general adult high-fidelity simulator with strong cardiovascular and respiratory modeling will cover most of your scenarios. If obstetric care is central to your training needs, you need a simulator purpose-built for that population, one that supports fetal monitoring, labor and delivery scenarios, and postpartum emergencies with the anatomical specificity those scenarios require. Pediatric and neonatal simulation requires its own purpose-built equipment for the same reasons.
This is not a place to compromise. Asking learners to translate adult simulator anatomy to a pediatric patient scenario undermines the realism that makes simulation effective.
Step 4: Evaluate the Full System, Not Just the Hardware
The manikin is one component of your simulation program. The platform it connects to, the support structure around it, and the data it generates are equally important to the long-term value of your investment.
When evaluating options, ask vendors these specific questions:
What does the instructor interface look like, and how much training does it require? The best simulator in the world is underutilized if your faculty finds the control software difficult to navigate. Look for platforms that are intuitive enough for educators without engineering backgrounds.
How does the system capture and report performance data? Scenario data should feed directly into your debrief and, over time, into your program’s performance record. If the system doesn’t make data capture straightforward, you’ll lose one of the most valuable dimensions of simulation-based education.
What does ongoing support look like? Consumables, maintenance, software updates, and access to clinical content should all be part of the conversation. A low purchase price with high ongoing costs is a common procurement trap in simulation equipment.
Does the system integrate with your existing infrastructure? If you already have a simulation management platform, a learning management system, or an accreditation reporting structure, your new equipment needs to work within that ecosystem.
Step 5: Run a Realistic Pilot Before You Commit
If at all possible, run a hands-on pilot with any simulator you’re seriously considering before finalizing a purchase decision. Bring the educators who will actually use the equipment. Run one of your real scenarios, not a vendor-designed showcase. Pay attention to how the system behaves under the conditions of your actual program, not ideal conditions.

Specifically, watch for how the physiological model responds to your team’s interventions, how the instructor interface performs when someone who isn’t an expert is running it, and how realistic the physical systems feel to your learners. Feedback from the people who will use the equipment daily is more reliable than any spec sheet comparison.
Step 6: Build the Business Case Around Outcomes, Not Features
When you’re making the case to leadership or a procurement committee, lead with outcomes rather than capabilities. What clinical competencies will this investment support? What patient safety gaps does it address? How does it connect to your accreditation requirements or quality metrics?
A manikin that can simulate thirty-seven distinct arrhythmias is a compelling feature. A training program that measurably improves your team’s response time to a deteriorating patient is a compelling outcome. Lead with the second framing, and the first becomes supporting evidence rather than the entire argument.
How Elevate Healthcare Supports the Selection Process
Elevate Healthcare offers simulation manikins across the full patient population and fidelity spectrum, from task trainers and mid-fidelity clinical skills models to advanced high-fidelity simulators for adult, obstetric, pediatric, and neonatal care. The portfolio is designed so that programs can build a coherent simulation ecosystem rather than assembling mismatched equipment from multiple vendors.
Elevate’s team works with program leaders through the selection process, including needs assessments, pilot demonstrations, and integration planning with LearningSpace, Elevate’s simulation management and debriefing platform.
If you are building or expanding a simulation program and want a structured conversation about fit, our team can help you determine the right approach for your organization. Contact us today.
Meet Abby, a passionate health product reviewer with years of experience in the field. Abby's love for health and wellness started at a young age, and she has made it her life mission to find the best products to help people achieve optimal health. She has a Bachelor's degree in Nutrition and Dietetics and has worked in various health institutions as a Nutritionist.
Her expertise in the field has made her a trusted voice in the health community. She regularly writes product reviews and provides nutrition tips, and advice that helps her followers make informed decisions about their health. In her free time, Abby enjoys exploring new hiking trails and trying new recipes in her kitchen to support her healthy lifestyle.
Please note: This article is for informational purposes only and does not constitute medical, legal, or financial advice. Always consult a qualified professional before making any decisions based on this content. See our full disclaimer for more information.







