Simulating capnography in software on the METI emergency care simulator

Liu, David and Jenkins, Simon (2009) Simulating capnography in software on the METI emergency care simulator. Simulation in Healthcare, 4 4: 223-227. doi:10.1097/SIH.0b013e318197d300

Author Liu, David
Jenkins, Simon
Title Simulating capnography in software on the METI emergency care simulator
Journal name Simulation in Healthcare   Check publisher's open access policy
ISSN 1559-2332
Publication date 2009-12
Sub-type Article (original research)
DOI 10.1097/SIH.0b013e318197d300
Volume 4
Issue 4
Start page 223
End page 227
Total pages 5
Editor David M. Gaba
Place of publication Philadelphia, PA, USA
Publisher Lippincott Willams & Wilkins
Collection year 2010
Language eng
Subject 080602 Computer-Human Interaction
970111 Expanding Knowledge in the Medical and Health Sciences
Formatted abstract
Introduction: We attempted to adapt a METI Emergency Care Simulator to support anesthesia scenarios but faced two challenges: the CO2 gas exhaled by the mannequin does not represent the simulated patient's physical status, and the METI Waveform Display software does not support capnography monitoring.
Methods: We developed a software application that simulates a CO2 trace that corresponds to the mannequin's ventilation. The software generated a range of CO2 waveform shapes whereas the mannequin was either spontaneously breathing or being mechanically ventilated. We tested the software in three environments: (1) a full-scale simulator research study of advanced anesthesia monitoring displays, (2) simulator-based training courses at the Royal Adelaide Hospital, and (3) at the Sydney Medical Simulation Centre.
Results: The research study participants successfully used the simulated monitor to confirm correct intubation and detect airway events. Instructors at the Royal Adelaide Hospital reported improvement in the fidelity of simulations for anesthesia trainees. Simulation coordinators at the Sydney Medical Simulation Centre were able to use their Emergency Care Simulator for anesthesia training scenarios, which they were previously unable to run.
Conclusion: We were able to substantially increase the realism of our anesthetic scenarios for research studies and training participants with only a small increase in the fidelity of our capnography monitoring.
Keyword Simulator
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2010 Higher Education Research Data Collection
School of Information Technology and Electrical Engineering Publications
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Created: Fri, 23 Apr 2010, 14:07:53 EST by Marie Walker on behalf of School of Information Technol and Elec Engineering