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University of Ontario Institute of Technology

Development of a novel consensus-building methodology to design valid simulation-based medical education-supporting technologies

Abstract

dc:description.abstract

Industry 4.0 has introduced new combinations of technologies that have the potential to revolutionize the way in which medical education, more specifically healthcare simulation, is delivered. However, the integration of these technologies into healthcare simulation requires an interdisciplinary team to ensure that design meets the needs of medical community, from both a content and technical standpoint. The process to design simulation-supporting technologies needs to offer space for creativity due to the diverse perspectives that need to be involved while offering content validity in the final design to be deemed acceptable by the medical community. To address this, we have engineered a constraints-ideation-consensus approach based on the design-based research framework to design valid simulation-supporting technologies and have applied it to two tests cases to demonstrate how it could work, highlight strengths and weaknesses, and propose next steps.

Degree

thesis:*
Name thesis:degree_name
Master of Health Sciences (MHSc)
Discipline thesis:degree_discipline
Community, Public and Population Health
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sivanathan, Mithusa
Advisor dc:contributor.advisor
  • Dubrowski, Adam

Subjects

dc:subject × 4

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/1590
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/1590

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Sivanathan, Mithusa. Development of a novel consensus-building methodology to design valid simulation-based medical education-supporting technologies. University of Ontario Institute of Technology, 2022. https://hdl.handle.net/10155/1590