Show simple item record

dc.contributor.authorPuente Castro, Alejandro
dc.contributor.authorGaldo, Brais
dc.contributor.authorSAID CRIADO, ISMAEL 
dc.contributor.authorBaltar Boileve, Javier 
dc.contributor.authorRabuñal, Juan R
dc.contributor.authorPazos, Alejandro
dc.contributor.authorMARTINEZ PILLADO, MODESTO 
dc.date.accessioned2022-04-01T07:05:35Z
dc.date.available2022-04-01T07:05:35Z
dc.date.issued2021
dc.identifier.urihttp://hdl.handle.net/20.500.11940/16402
dc.description.abstractThe past and current situation of the SARS-CoV-2 pandemic has put the entire society, and especially all hospital systems, worldwide to the test. It is essential that health system managers and decision makers optimize the management of resources, even being forced to improvise new units, divert resources usually destined to other functions and/or change the usual care modality by considerably enhancing aspects of telemedicine. Artificial Intelligence (AI) techniques and procedures are of great help in decision making in emergency environments due to severe pandemics because of their predictive capacity. This paper presents the PRACTICUM DIRECT project, which proposes the design and implementation of a tool to assist health system managers in making decisions on the early management of hospital resources. It makes use of AI techniques to identify the most critical variables in each case and build models capable of showing the possibilities and consequences of the decisions taken on resources at each moment of the emergency. It includes a simulator that shows how they would affect management. The current status is that of the selection of the most appropriate variables, taking into account those affected during the SARS-CoV-2 pandemic: infectious diseases, cardio-neuro-circulatory diseases, metabolic diseases and rehabilitative medicine. Comunicación presentada en 4º Xove TIC Conference. A Coruña, 7-8 de Octubre de 2021. Recibió el Premio Fundación CITIC de Galicia.es
dc.language.isoenges
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.meshPandemics *
dc.subject.meshCoronavirus *
dc.subject.meshIntelligence *
dc.subject.meshDecision Making *
dc.titlePRACTICUM DIRECT Simulator for Decision Making during Pandemicses
dc.typeArtigoes
dc.identifier.doihttps://doi.org/10.3390/engproc2021007048
dc.issue.number1es
dc.journal.titleEngineering Proceedingses
dc.organizationServizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::Instituto de Investigación Biomédica Ourense-Pontevedra-Vigo (IBI)es
dc.organizationServizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de Lugo, Cervo e Monforte de lemos - Complexo Hospitalario Universitario Lucus Augusties
dc.organizationServizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de A Coruña - Complexo Hospitalario Universitario de A Coruñaes
dc.page.initial48es
dc.relation.publisherversionhttps://www.mdpi.com/2673-4591/7/1/48es
dc.rights.accessRightsopenAccesses
dc.subject.decsinteligencia *
dc.subject.decstoma de decisión *
dc.subject.decspandemias *
dc.subject.decscoronavirus *
dc.subject.keywordIISGSes
dc.subject.keywordHULAes
dc.subject.keywordCHUACes
dc.subject.keywordINIBICes
dc.typefidesComunicación a congresoes
dc.typesophosComunicación a Congresoes
dc.volume.number7es


Files in this item

This item appears in the following Collection(s)

Show simple item record

Atribución 4.0 Internacional
Except where otherwise noted, this item's license is described as Atribución 4.0 Internacional