{"id":{"repo_id":"uoit","oai_identifier":"oai:ontariotechu.scholaris.ca:10155/1590"},"canonical_url":"https://search.dev.ndltd.org/etd/uoit/oai:ontariotechu.scholaris.ca:10155/1590","repository":{"repo_id":"uoit","name":"Ontario Institute of Technology","base_url":"https://ontariotechu.scholaris.ca/server/oai/request"},"display":{"title":"Development of a novel consensus-building methodology to design valid simulation-based medical education-supporting technologies","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Sivanathan, Mithusa"],"institution":"University of Ontario Institute of Technology","degree_name":"Master of Health Sciences (MHSc)","degree_level":null,"degree_discipline":"Community, Public and Population Health","degree_department":null,"school":null,"contributors":[],"advisors":["Dubrowski, Adam"],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-12-01","date_published":"2022-12-01","updated_at":"2026-07-24T05:35:22Z","subjects":["Simulation-based medical education","Consensus-building methodologies","Industry 4.0","Content validity"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10155/1590","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Dubrowski, Adam"]},{"key":"dc:creator","label":"Author","values":["Sivanathan, Mithusa"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2023-03-13T18:56:49Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2023-03-13T18:56:49Z"]},{"key":"dc:date.issued","label":"Date","values":["2022-12-01"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Community, Public and Population Health"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Health Sciences (MHSc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Ontario Institute of Technology"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Simulation-based medical education","Consensus-building methodologies","Industry 4.0","Content validity"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10155/1590"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:title","label":"Title","values":["Development of a novel consensus-building methodology to design valid simulation-based medical education-supporting technologies"]}]}],"canonical_facts":{"dc:contributor.advisor":["Dubrowski, Adam"],"dc:creator":["Sivanathan, Mithusa"],"dc:date.accessioned":["2023-03-13T18:56:49Z"],"dc:date.available":["2023-03-13T18:56:49Z"],"dc:date.issued":["2022-12-01"],"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."],"dc:identifier.uri":["https://hdl.handle.net/10155/1590"],"dc:language.iso":["en"],"dc:subject":["Simulation-based medical education","Consensus-building methodologies","Industry 4.0","Content validity"],"dc:title":["Development of a novel consensus-building methodology to design valid simulation-based medical education-supporting technologies"],"dc:type":["Thesis"],"thesis:degree_discipline":["Community, Public and Population Health"],"thesis:degree_name":["Master of Health Sciences (MHSc)"],"thesis:institution_name":["University of Ontario Institute of Technology"]},"updated_at":"2026-07-24T05:35:22Z"}