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COVID-19 Testing: Virtual Reality Instructional (VRI) Training for Improving Quality of Care and Patient Safety

Current Students: Sri Teja Bodempudi (Doctoral Student)

Past Students: Phillip Deveroux, Alicia Miller

Status: Current

As the COVID-19 pandemic continues unabated, socially vulnerable populations face disproportionate risks as is often the case during public health emergencies. Emerging trends of differential impact on socially vulnerable populations, such as certain racial and ethnic minorities, among others, require urgent attention to improve quality of care and patient safety. This project aims to characterize determinants for improving quality of care and patient safety among vulnerable populations, specifically with a focus on racial and ethnic minorities, and fully incorporate these findings into the creation and development of Virtual Reality Instructional (VRI) training modules geared for integrated care teams to enhance care delivery. An integrated care team comprised of healthcare practitioners, social workers and care coordinators must work together seamlessly, safely and efficiently. Our goal is to develop virtual reality instructional (VRI) modules to train integrated care team members to engage patients from vulnerable populations safely and efficiently.

With continuing advancements in technology, VR based training incorporates real-life experience and creates a "sense of presence" in the environment. Immersive virtual environments offer considerable advantages over traditional training exercises such as reduction in the time and cost for different what-if scenarios and opportunities for more frequent practice. This research work proposes the development of Virtual Reality Instructional (VRI) training modules geared for COVID-19 testing. The VRI modules are developed for immersive, non-immersive, and mobile environment. These VRI modules are developed to help increase safety preparedness and mitigate the social distancing related risks for safety management.

VRI Modules for COVID-19 Testing

VRI Training Module in Oculus for COVID-19 testing VRI Training Module in Oculus for COVID-19 testing
Pedestrian Walk Thru COVID-19 Virtual Reality Instructional (VRI) Module for Testing Drive Thru COVID-19 Virtual Reality Instructional (VRI) eLearning and Training Module
COVID-19 Virtual Reality Instructional (VRI) eLearning and Training Module for Testing Health care Tour: COVID-19 Virtual Reality Instructional (VRI) eLearning and Training Module for Testing
Drive Thru COVID-19 Virtual Reality Instructional (VRI) eLearning and Training Module Pedestrian Walk Thru COVID-19 Virtual Reality Instructional (VRI) Module for Testing
 
VRI Modules for Training for Improving Quality of Care
   
Client (left-side) and Server (right-side) Virtual patient created using Unity 3D gaming engine
 

References

Publications

  1. Sharma, S., Bodempudi, S.T., Reehl, A. " Real-time Data Analytics of COVID Pandemic using Virtual Reality, Proceedings of the 23rd International Conference on Human-Computer Interaction (HCI International 2021), Thematic Area: Virtual, Augmented and Mixed Reality, J. Y. C. Chen and G. Fragomeni (Eds.): HCII 2021, LNCS 12770, pp. 106-116, Washington DC, 24-29 July 2021.
  2. Sharma, S., Bodempudi, S.T., Reehl, A. " Virtual Reality Instructional (VRI) module for Training and Patient Safety", IS&T International Symposium on Electronic Imaging (EI 2021), in the Engineering Reality of Virtual Reality, https://doi.org/10.2352/ISSN.2470-1173.2021.13.ERVR-178, pp. 178-1-178-6(6) 2021.
  3. Sharma, S., Bodempudi, S.T., " Situational Awareness of COVID Pandemic data using Virtual Reality, IS&T International Symposium on Electronic Imaging (EI 2021), in the Engineering Reality of Virtual Reality, Burlingame, California, https://doi.org/10.2352/ISSN.2470-1173.2021.13.ERVR-177, pp. 177-1-177-6(6), 2021.
  4. Walker, T, Sharma, S.," Data Analysis of Crime and Rates of Hospitalization due to COVID-19, Proceeding of the IEEE International Conference on Computational Science and Computational Intelligence, (CSCI'21), Symposium of Big Data and Data Science (CSCI-ISBD), Las Vegas, USA, December 15-17, 2021.
  5. Walker, S., Sharma, S.," Data Visualization of Covid-19 and Crime Data, Proceeding of the IEEE International Conference on Computational Science and Computational Intelligence, (CSCI'21), Symposium of Big Data and Data Science (CSCI-ISBD), Las Vegas, USA, December 15-17, 2021.
  6. Sharma, S, Bodempudi, S.T., Reehl, A. " Real-Time Data Visualization to Enhance Situational Awareness of COVID pandemic ", Proceeding of the IEEE International Conference on Computational Science and Computational Intelligence (CSCI'20), Las Vegas, Nevada, USA, Dec 16-18, 2020.
  7. Rayan, T., Brown,A., Carillo, A., Sharma, S, " The Effect of COVID-19 on Various Racial Demograpics in the United States ", Proceeding of the IEEE International Conference on Computational Science and Computational Intelligence (CSCI'20), Las Vegas, Nevada, USA, DOI: 10.1109/CSCI51800.2020.00068, ISBN:978-1-7281-7624-6, 2020.
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