We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Disasters are high-acuity, low-frequency events which require medical providers to respond in often chaotic settings. Due to this infrequency, skills can atrophy, so providers must train and drill to maintain them. Historically, drilling for disaster response has been costly, and thus infrequent. Virtual Reality Environments (VREs) have been demonstrated to be acceptable to trainees, and useful for training Disaster Medicine skills. The improved cost of virtual reality training can allow for increased frequency of simulation and training.
Problem:
The problem addressed was to create a novel Disaster Medicine VRE for training and drilling.
Methods:
A VRE was created using SecondLife (Linden Lab; San Francisco, California USA) and adapted for use in Disaster Medicine training and drilling. It is easily accessible for the end-users (trainees), and is adaptable for multiple scenario types due to the presence of varying architecture and objects. Victim models were created which can be role played by educators, or can be virtual dummies, and can be adapted for wide ranging scenarios. Finally, a unique physiologic simulator was created which allows for dummies to mimic disease processes, wounds, and treatment outcomes.
Results:
The VRE was created and has been used extensively in an academic setting to train medical students, as well as to train and drill disaster responders.
Conclusions:
This manuscript presents a new VRE for the training and drilling of Disaster Medicine scenarios in an immersive, interactive experience for trainees.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.