Title:
A Mixed Reality Simulator for Learning to Manage Variability
Funding Source:
NIH,
National Library of Medicine R21,
Duration: 2011-2013
Personnel:
PI:
John Quarles, Ph.D. – UTSA
Co-PIs:
Samsun Lampotang, Ph.D., Benjamin Lok,
Ph.D. – University of Florida
Senior
Personnel: Nikolaus Gravenstien,
M.D. – University of Florida
Simulation
Engineer: David Lizdas – University of
Florida
Research
Assistant: Jason Jendrusch – UTSA
Abstract
Inter-patient
variability is a major contributing factor to adverse outcomes in many areas of
medical practice and especially in conscious sedation procedures. For example,
two patients of similar height, weight, and age may react very differently to
the same sedative, resulting in over sedation or under sedation. In many of
these cases, patients who are assessed to be at minimal risk are actually at
high risk. Then, problems, such as unexpected respiratory depression, cause an
adverse outcome, such as neurologic damage or death. Current training programs
mainly train students through lectures and real world experience, which
logistically cannot bring students to competency in an acceptable amount of
time. To address this problem, this proposal aims to develop an immersive mixed
reality (MR) based training simulator for educating students about variability
in conscious sedation procedures.
Approach: Specifically, the proposed simulation
will augment a mannequin patient simulator with a simulation model of
variability, an immersive virtual reality patient, and conceptual
visualizations of the patient’s internal processes. This mixed reality patient
will not only offer a wider variety of hands-on experience through the
incorporation of patient dialog but it will additionally simulate a variety of external
characteristics, such as race, weight, height, and age, and offer conceptual
visualizations of highly variable internal characteristics, such as drug
sensitivity. Based on these reconfigurable characteristics, the proposed
MR-based simulator will give students hands-on experience with a wide variety
of simulated patients in a short amount of time. Ultimately, the simulator aims
to afford students a deeper understanding of to manage variability.
Specific
Aims: 1) Develop
a patient variability model for use in interactive simulation of conscious
sedation, 2) Enable variability management training with mixed reality patients
and debriefing, 3) Establish face validity and investigate the educational
effects of simulated variability. The goal of the proposed simulator is to
provide a variety of hands-on experiences and feedback that will accelerate
learning, enhance decision making skills, and enable students to more
effectively manage variability in conscious sedation.
Figure 1: Left: A student interviews the virtual patient Right:
Transparent Reality visualization of propofol in the body