In-situ simulation as a high-fidelity training approach conducted in clinicians' usual working environment¶

Design · All designs
Evidence · no claims cited

Description¶

The article defines in-situ simulation as "simulated clinical scenarios in participants' usual working environment," offering "a higher level of fidelity compared to other settings." It is described as enhancing knowledge retention, helping learners maintain composure in real encounters, benefiting interdisciplinary teams exposed to ED design and equipment, and identifying systems issues that would otherwise go undiscovered.

Design Implications¶

Context¶

Requirements¶

Requires use of the clinical space for the scenario itself, with debriefing possible elsewhere

Constraints¶

A common barrier is the concern that it contributes to a delay in providing patient care

Target Learners¶

emergency department clinicians
interdisciplinary team members
undergraduate and postgraduate medical trainees

Learning Goals¶

technical and nontechnical skills
knowledge retention
composure during real clinical encounters
identifying system issues

Claims¶

Examples¶

-

Key Sources¶

Rogan A, Watt E, Murphy S, Wheeler E, Woods L, Galwankar S, Peckler B. (2026). Worth the Wait? Comparison of Emergency Department Patients' Waiting Room Tolerance for Real Patient Care vs Training/Simulation Scenarios. Western Journal of Emergency Medicine. https://doi.org/10.5811/westjem.48916

Page metadata

Field	Value
`type`	`design`
`id`	`in-situ-simulation-high-fidelity-training`
`title`	`In-situ simulation as a high-fidelity training approach conducted in clinicians' usual working environment`
`description`	`The article defines in-situ simulation as "simulated clinical scenarios in participants' usual working environment," offering "a higher level of fidelity compared to other settings." It is described as enhancing knowl...`
`status`	`review`
`generated`	by `process:settle-candidates` on `2026-11-04`
`trust`	unverified — no one has confirmed this page's content
`sources`	1 — `rogan-a-2026`

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