SEPSIS COLLAB: A Virtual Reality Training Simulation For Sepsis Treatment
Williams-Bhatti, Ayesha and Carruthers, D and Wilson, Andrew (2023) SEPSIS COLLAB: A Virtual Reality Training Simulation For Sepsis Treatment. In: IEEE VR 2023 - 2nd Workshop on XR for Healthcare and Wellbeing - (XR Health) 2023, 25th-29th March 2023, Shanghai (Online). (In Press)
![]() |
Text
SEPSIS COLLAB - A Virtual Reality Training Simulation For Sepsis Treatment.pdf - Accepted Version Restricted to Repository staff only Download (210kB) | Request a copy |
![]() |
Other (Supplementary material for workshop paper)
supplementary materials.pdf - Supplemental Material Restricted to Repository staff only Download (89kB) | Request a copy |
Abstract
Sepsis is a main cause of death, by infection in the world. Despite modern treatments, mortality and morbidity could be reduced by improved training of the clinical teams. SEPSIS COLLAB (developed using Unity game engine and C# programming language for Meta Quest 2) is a unique virtual reality simulation for training both doctors and nurses to treat sepsis. It was evaluated with the help of 110 volunteers, in terms of usability (System Usability Scale) and knowledge acquisition. The latter used pre-/post-tests based on clinical treatment guidelines. Participants were divided into a control group (doctors n:35 and nurses n:20) who did not use SEPSIS COLLAB and a test group (doctors n:35 and nurses n:20) who did. The consensus regarding the usability of SEPSIS COLLAB was rated as excellent. Analysis showed significant improvement in the post-test results of the test group compared to their pre-test. There was no significant difference in the pre- or post-test scores of the control group. The test group performed significantly better in the post-test than the control group. These findings show SEPSIS COLLAB has potential to provide positive educational benefits to medical teams in their treatment of sepsis and act as a complement to traditional in-person training.
Item Type: | Conference or Workshop Item (Paper) | ||||
---|---|---|---|---|---|
Dates: |
|
||||
Subjects: | CAH00 - multidisciplinary > CAH00-00 - multidisciplinary > CAH00-00-00 - multidisciplinary CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science CAH11 - computing > CAH11-01 - computing > CAH11-01-06 - computer games and animation CAH11 - computing > CAH11-01 - computing > CAH11-01-08 - others in computing CAH22 - education and teaching > CAH22-01 - education and teaching > CAH22-01-01 - education |
||||
Divisions: | Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology | ||||
Depositing User: | Ayesha Williams-Bhatti | ||||
Date Deposited: | 06 Mar 2023 14:34 | ||||
Last Modified: | 06 Mar 2023 14:34 | ||||
URI: | https://www.open-access.bcu.ac.uk/id/eprint/14224 |
Actions (login required)
![]() |
View Item |