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Measuring the Repeatability of Simulated Physiology in Simulators.

David Cumin¹, Charlotte Chen, Alan F Merry

¹From the Department of Anesthesiology (D.C., A.F.M.), School of Medicine, University of Auckland; and Auckland City Hospital (C.C., A.F.M), Auckland, New Zealand.

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|September 4, 2015

Summary

Repeatability of simulator physiologic responses was evaluated using objective measures. Dynamic time warping preprocessing effectively reduced variations in Human Patient Simulator (HPS) data, enhancing simulation reliability.

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Area of Science:

Medical simulation
Physiologic modeling
Healthcare education technology

Background:

Ensuring repeatable physiologic responses in medical simulators is crucial for training.
A standardized method for evaluating simulator repeatability is currently lacking.

Purpose of the Study:

To develop and assess an approach for evaluating the repeatability of physiologic responses in medical simulators.
To compare the performance of different simulators and preprocessing techniques.

Main Methods:

Evaluated physiologic responses from METI HPS and Anesoft Anesthesia Simulator across 255 simulations.
Calculated objective similarity measures (RMSE, median performance error, median absolute performance error).
Compared preprocessing techniques including dynamic time warping to reduce phase and frequency differences.

Main Results:

Anesoft simulator demonstrated exact reproducibility for all variables and interventions.
METI HPS showed minor divergence in connected state, reduced by preprocessing, especially dynamic time warping.
Median absolute performance error effectively quantified variations in METI HPS data.

Conclusions:

Simulator repeatability can be assessed using divergence over time and median absolute performance error.
Preprocessing data, particularly with dynamic time warping, is essential for accurate repeatability evaluation.
This approach enhances the reliability of medical simulation for training purposes.