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How Can You Use Simulation to Identify and Fix System-Level Problems?

Simulation is best known for helping individuals build skills. But when applied strategically, it becomes a powerful tool for identifying system failures, co-designing solutions, and embedding safer, more reliable care across entire healthcare systems. It quite literally translates simulation efforts into results that go beyond the individual and impact an organization’s performance overall.

 

“Translational simulation can be part of the diagnostics in health systems—identifying issues preventing excellent care and assessing outcomes achieved in response to interventions…. Appropriately targeted, translational simulation offers a range of interventions for individual, team and system level improvement, ideally embedded within an integrated ‘translational science’ model.”1  

Dr. Victoria Brazil

Director, Bond Translational Simulation Collaborative; Professor of Emergency Medicine and Director of Simulation, Bond University

Dr Victoria Brazil circle

Why Training Alone Isn’t Enough

Healthcare has long relied on simulation to train clinicians. This is especially true for high-stakes or low-frequency events like the ones that providers see in Obstetrics, the Emergency Department, Neonatal Care, and Intensive Care. Simulation is an effective tool to build performance acumen like muscle memory, confidence, and critical thinking.

But increasingly, hospitals are discovering that performance failures often aren’t due to lack of skill or knowledge. They’re due to system-level breakdowns:

  • Misaligned workflows
  • Poor layout or equipment access
  • Communication barriers
  • Role confusion under stress
  • Processes that don’t function as expected under pressure

These issues can’t be fixed by training harder. They require a method that lets you see the system in action—and simulation provides exactly that.

Enter Simulation as a Diagnostic and Design Tool

“It’s a way to crash test the system just like you would crash test a car to make sure it’s as safe and effective as possible. This allowed us to iron out the kinks so that by the time real trauma patients were involved, the only impact they were more likely to see was better outcomes.”

- Dr. Andrew Petrosoniak MSc (Med Ed), FRCPC, 
Emergency Physician and Trauma Team Leader at St. Michael’s Hospital in Toronto, Canada

Andrew

 

In short, simulation can be used not just to practice within the system, but to fix the system itself.

This approach—often called translational simulation—focuses on using simulation to:

  • Identify latent safety threats
  • Map how processes unfold across departments
  • Test protocols, technology, or design before go-live
  • Engage staff in co-designing better workflows
  • Measure system performance under real conditions

Unlike traditional training, these efforts focus on learning about the system, not just the individual.

Real-World Examples Where Simulation Exposed System-Level Failures

 

1. Pediatric Emergency Response – “1 Safety Threat per 1.2 Simulations”

A pediatric ED at a large U.S. hospital ran in situ simulations to evaluate emergency readiness. Their simulations uncovered safety threats in:

  • Medication availability
  • Role clarity during code events
  • Inconsistent paging protocols

These were not issues of knowledge or skill, but of process and system design. As a result, the team updated layout, communication protocols, and resource access—contributing to over 1,000 consecutive safety event-free days.3

 

2. St. Michael’s Hospital – Trauma Bay Redesign

Before finalizing construction of a new trauma bay, Dr. Andrew Petrosoniak and his team used simulation to test layout and team flow.

“We believe that we should simulate scenarios as a means to test the equipment and the space, ensuring that it works as we imagine it will. We do this so that by the time we open for patient care, we’ll know that all systems are a go,”4 said Dr. Petrosoniak.

As a result, over 150 latent safety threats were addressed—before a single patient entered the room.

“St. Michael’s is really ahead of the curve for integrating the clinical team in the design of the space the way they did. We’re grateful for the Operational Readiness team’s safety-minded approach and that we have a simulation program that can support this type of work,”5 says Dr. Petrosoniak.

 

3. Rural Nebraska Hospitals – OB Hemorrhage Response

A simulation-based QI initiative across 12 rural hospitals helped identify gaps in postpartum hemorrhage protocols. Simulations revealed delays in transfusion, inconsistent use of hemorrhage carts, and unclear roles during escalation.

Following simulation:

  • Medication locations were revised
  • Emergency blood protocols improved
  • Teams gained clarity and cohesion

One OB physician shared:

“A week after our OB team completed the training, we [had a real postpartum hemorrhage]… the simulation was invaluable.”6

 

What System Problems Can Simulation Help Fix?

System-Level Challenge
Simulation Insight
Inconsistent response times Shows actual time-to-intervention under pressure
Communication breakdowns Exposes gaps in escalation, call-outs, SBAR use
Poor equipment layout Reveals inefficiencies in accessing critical tools
Protocol design flaws Allows testing and refinement before rollout
Role ambiguity Helps clarify responsibilities during high-acuity events

How to Use Simulation to Fix System Problems

Here’s a practical pathway for simulation leaders, quality managers, and clinical teams:

 

1

Start with a Real Problem
Choose an area with known safety issues or variability in performance—like delayed stroke alerts, NICU transfers, post-partum hemorrhage or anything that clearly stands out as a trend indicator in your department.

2

Run In-Situ Simulations
Simulate events in the actual care environment with the real team. Observe how systems respond—not just individuals.

3

Identify Latent Safety Threats
Use trained observers to spot system-level issues. Capture problems like poor layout, task redundancy, or unspoken confusion.

4

Co-Debrief with Frontline Staff
Instead of a top-down analysis, invite all roles to discuss what worked, what didn’t, and what needs to change.

5

Refine the System
Adjust workflows, policies, or environments. Then re-simulate to test the new design.

6

Measure and Repeat
Track performance indicators—response times, communication clarity, time to medication—and repeat simulations to reinforce change.

Key Takeaway

 

Simulation isn’t just a training tool—it’s a multiplier for systems improvement. Use it to uncover what’s really happening in your workflows, fix what’s broken, and build safer, more efficient care systems.

 

System failure isn’t always obvious on paper. But simulation can make it visible—and fixable. Start using it to redesign care that works better for patients and the teams who serve them.

Ready to rethink your next QI initiative? Contact us to explore further how you can start with simulation.

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References

  1. Brazil, V. (2017). Translational simulation: not “where?” but “why?” A functional view of in situ simulation. Advances in Simulation, 2(1). https://doi.org/10.1186/s41077-017-0052-3
  2. Jones, K. (2018, September 12). How a simulation dramatically improved blood delivery times for trauma patients. Hospital News. https://hospitalnews.com/how-a-simulation-dramatically-improved-blood-delivery-times-for-trauma-patients/
  3. In Situ Simulation – Part 1: Quality Improvement Through Simulation. (2018, January 23). EM Sim Cases. https://emsimcases.com/2018/01/23/in-situ-simulation-part-1-quality-improvement-through-simulation/
  4. New trauma bay at St. Michael’s Hospital shows the impact of simulations on hospital design. (2020, January 28). Unity Health Toronto. https://unityhealth.to/2020/01/new-trauma-bay-at-st-michaels-hospital-shows-the-impact-of-simulations-on-hospital-design/
  5. Ibid.
  6. Case Study: High-tech OB simulation training educates OB teams, improves quality of rural health care. (n.d.) Bryan Health. https://www.bryanhealth.com/app/files/public/0e55e9f8-2e84-4155-bcf9-8a4c65fcfd11/rural-ob-simulation-case-study.pdf