Technical challenges and solutions for high-fidelity patient simulation in support of telemedicine research in remote and extreme environments
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Abstract
Telemedicine is emerging as a valuable tool to improve access to health care
in pre-hospital and acute care settings. Unfortunately, clinical research and the
development of telemedicine technologies are severely limited by the extreme
variation in experimental variables alongside legal and ethical concerns.
High-fidelity medical simulation, the use of a robotic manikin that mimics a
human patient, may overcome some of these challenges by allowing rare or
complex medical procedures to be reproduced in a controlled manner.
Improvements in simulation technology have increased the portability of these
systems and enabled their use in remote and extreme environments. These
locations have limited access to medical resources and expertise, and may benefit
greatly from telemedicine support.
This research describes initial attempts at defining the requirements for
running high-fidelity simulation in remote and extreme environments in support
of telemedicine research. Three additional variations were evaluated to explore
possible applications: 1) remote operation and instruction of the simulation, 2)
progressive simulations (movement from one location to another), and 3)
telemedical support under time delay.
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Fourteen 30-minute simulations were conducted on Devon Island, Nunavut,
Canada, and on Mauna Kea, Hawaii, USA. Two medically naïve participants
rendered care to a simulated patient experiencing an acute medical emergency.
Participants were connected through a videoconferencing link over satellite to an
experienced physician who provided medical support. All but one simulation was
completed successfully, however, all encountered unanticipated technical barriers
related to the videoconferencing system, network connection, or simulation
technology.
The results show that running high-fidelity patient simulation in extreme
environments is technically feasible. They also highlight the importance of
rigorous pre-deployment system testing and an appreciation of the effect of
network infrastructure and environmental conditions on equipment. Nevertheless,
it is clear that high-fidelity simulation holds the potential to unlock new and
exciting findings in acute care telemedicine research.