Related Experiment Video
Updated: Nov 23, 2025
09:52
Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
Published on: January 15, 2017
17.5K
Optimizing Multidisciplinary Simulation in Medical School for Larger Groups: Role Assignment by Lottery and Guided
Lawrence F Borges1, Jamie M Robertson2, Steven M Kappler3
1Division of Gastroenterology, Mount Auburn Hospital and Harvard Medical School, Cambridge, MA, USA.
Advances in Medical Education and Practice
|December 30, 2020
Summary
A novel "Orchestra Leader's" chart method successfully accommodated larger groups in medical simulations. This approach, using role assignment by lottery, ensured high student engagement and excellent session ratings.
Area of Science:
- Medical Education
- Simulation-Based Learning
- Healthcare Professional Training
Background:
- Medical school simulations typically involve small groups for optimal engagement.
- Scaling these simulations for larger cohorts presents a significant pedagogical challenge.
- Ensuring equitable participation for all interested students is crucial.
Purpose of the Study:
- To develop and evaluate a novel method for conducting large-group medical simulations.
- To facilitate participation for all first-year medical students interested in simulation exercises.
- To maintain high levels of engagement and learning in expanded simulation settings.
Main Methods:
- Implementation of a low-technology
- Orchestra Leader's
- chart for displaying student roles assigned by lottery.
- Utilizing the chart as a group organizational tool during simulations, mounted on an intravenous pole.
- Employing a course instructor to guide students through objectives using the chart.
- Incorporating expert consultation from real-life cardiologists and gastroenterologists.
- Analysis of 125 anonymous student evaluation ratings from 2017-2019 (8-19 students per session).
Main Results:
- Consistently excellent overall ratings (Mean=1.26, SD ±.510) for large-group sessions across three years (2017-2019).
- No statistically significant differences in ratings between the years.
- Uniformly excellent evaluations for the subspecialist consultants.
- Strong positive student feedback regarding the role assignment by lottery method.
Conclusions:
- A novel
- Orchestra Leader's
- chart approach effectively accommodates larger groups in multidisciplinary simulation laboratories.
- The method integrates role assignment by lottery, visual role depiction, and expert instructor guidance.
- Consistently excellent ratings indicate the utility of this approach for successful large-group simulation design.
Related Concept Videos
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
179
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
179
01:13Randomized Experiments
8.6K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Simple randomization
Simple...
8.6K
02:01Group Design
10.0K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.0K
01:29Mathematical Modeling: Problem Solving
115
Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...
115