University of Oulu

N. K. Sankaran et al., "Efficacy Study on Interactive Mixed Reality (IMR) Software with Sepsis Prevention Medical Education," 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Osaka, Japan, 2019, pp. 664-670, doi: 10.1109/VR.2019.8798089

Efficacy study on interactive mixed reality (IMR) software with sepsis prevention medical education

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Author: Sankaran, Naveen Kumar1; Nisar, Harris J.2; Zhang, Ji3;
Organizations: 1Industrial and Enterprise Systems Engineering, Health Care Engineering System Center(HCESC), University of Illinois at Urbana-Champaign(UIUC), Urbana, IL, USA
2Jump Trading Simulation and Education Center, OSF HealthCare System, Peoria, IL, USA
3College of Media, HCESC, UIUC, Urbana, IL, USA
4Department of Bioengineering, UIUC, Urbana, IL, USA
5University of Illinois College of Medicine at Peoria/ OSF St. Francis Medical Center, OSF HealthCare System, Jump Trading Simulation and Education Center, Peoria, IL, USA
6Jump Trading Simulation and Education Center, University of Illinois College of Medicine at Peoria/ OSF St. Francis Medical Center, OSF HealthCare System, Peoria, IL, USA
7Information Technology and Electrical Engineering, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 5 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2020-06-29


Objective: In recent years, the training of novice medical professionals with simulated environments such as virtual reality (VR) and augmented reality (AR) has increased dramatically. However, the usability of these technologies is limited due to the complexity involved in creating the clinical content. To be comparable to a clinical environment, the simulation platform should include real-world learning parameters such as patient physiology, emotions, and clinical team behaviors. Incorporating such nondeterministic parameters has historically required faculty to possess advanced programming skills. Lack of effective software for instructors to easily develop VR curriculum content is a hurdle in developing VR based curriculum.

Method: We address this challenge through a software platform that simplifies the creation of Interactive Mixed Reality (IMR) scenarios. Three educational components we were able to embed into an IMR scenario includes 1) integrated 360-degree video recording of a clinical encounter to provide a first-person perspective, 2) rich annotated knowledge content, and 3) assessment questionnaire. We developed a sepsis prevention education scenario using the IMR software to demonstrate the potential of enhancing simulated medical training by accelerating clinical exposure for novice students.

Result: An IRB approved study was conducted with a group of 28 novice students to evaluate the efficacy of the IMR technology. The participants provided feedback by answering demographics, NASA-TLX and system usability scale questionnaires. Significance: Our software is a step towards improving VR based education content development process.

Conclusion: The studies conducted here provide preliminary evidence that the IMR software is a usable technology based on the NASA-TLX and system usability studies conducted. Future work will compare our new educational strategy for medical training with live simulation scenarios inside a hospital room and a simple video-based curriculum.

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Series: IEEE Conference on Virtual Reality and 3D User Interfaces
ISSN: 2642-5246
ISSN-E: 2642-5254
ISSN-L: 2642-5246
ISBN: 978-1-7281-1377-7
ISBN Print: 978-1-7281-1378-4
Pages: 664 - 670
Article number: 8798089
DOI: 10.1109/VR.2019.8798089
Host publication: 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019, 23-27 March 2019, Osaka, Japan
Conference: IEEE Conference on Virtual Reality and 3D User Interfaces
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Funding: We would like to thank the Jump ARCHES Endowment through the UIUC Health Care Engineering Systems Center and the Jump Simulation Center at OSF Health Care for supporting this project. The project could not have been completed without the contributions of the following students: Matthew K.Ong, Yingying Ren, Andrew Hehner Miranti, Nicholas Alexander Magerko, Saleh Raghib Muhammad, and Tian Menglin.
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