Publication
The viability of telesurgery service in the Autonomous Region of the Azores, supported by the 5G Network
datacite.subject.sdg | 04:Educação de Qualidade | pt_PT |
dc.contributor.author | Gualter Sousa | |
dc.contributor.author | Santos, Arnaldo | |
dc.date.accessioned | 2025-01-02T17:02:41Z | |
dc.date.available | 2025-01-02T17:02:41Z | |
dc.date.issued | 2023-12-11 | |
dc.description.abstract | 5G network technology is considered one of the driving forces behind various societal changes. Among multiple uses, it offers Telesurgery. In situations where the patient needs specialized surgery, but there are no conditions to be transported to where the surgical intervention can be performed, Telesurgery allows access to the procedure with all the security that 5G network technology offers. The Autonomous Region of the Azores (ARA) is considered an outermost region which is an integral part of the EU (despite the thousands of kilometres that separate it from the European continent). Therefore, the EU law applies to these regions with all rights and duties associated. The Support Service to the Displaced Patient (SADD) accompanies annually and under normal conditions an average of more than 1500 patients from the Azores. They travel to the mainland for health reasons. This scenario is applied across islands, where an average of 550 patients moved annually from islands without a hospital to islands with a hospital. As a result, health costs rise in this Region. This paper will use the survey research methodology since it is the most appropriate method when we want to obtain answers/data that express opinions, customs or characteristics of a certain target audience. Therefore, a mixed mode will be used, namely interviews and questionnaires, having as scientific target areas medicine and engineering, in the specialities of gastroenterology and telecommunications, to support the research questions. This paper aims to present research on the viability of Telesurgery in the Autonomous Region of the Azores, supported by the 5G network, as an alternative for travelling patients. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Gualter de Medeiros Sousa, Arnaldo Manuel Pinto Santos, The viability of Telesurgery Service in the Autonomous Region of the Azores, supported by the 5G Network, Procedia Computer Science, Volume 219, 2023, Pages 422-430, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2023.01.308. (https://www.sciencedirect.com/science/article/pii/S1877050923003174) | pt_PT |
dc.identifier.doi | https://doi.org/10.1016/j.procs.2023.01.308 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.2/17071 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | ScienceDirect | pt_PT |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S1877050923003174 | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | pt_PT |
dc.subject | Technology 5G Networks | pt_PT |
dc.subject | Autonomous Region of the Azores | pt_PT |
dc.subject | Telesurgery | pt_PT |
dc.title | The viability of telesurgery service in the Autonomous Region of the Azores, supported by the 5G Network | pt_PT |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.citation.endPage | 430 | pt_PT |
oaire.citation.startPage | 422 | pt_PT |
oaire.citation.title | CENTERIS 2022. Conference on ENTERprise Information Systems / ProjMAN 2022 - International Conference on Project MANagement / HCist 2022 - International Conference on Health and Social Care Information Systems and Technologie | pt_PT |
oaire.citation.volume | 219 | pt_PT |
person.familyName | Santos | |
person.givenName | Arnaldo | |
person.identifier | https://scholar.google.pt/citations?user=ik_0xPkAAAAJ&hl=pt-PT | |
person.identifier.ciencia-id | 3211-438A-A256 | |
person.identifier.orcid | 0000-0001-5139-6728 | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
relation.isAuthorOfPublication | b40e1515-a3da-429d-83f6-717be6d9f30d | |
relation.isAuthorOfPublication.latestForDiscovery | b40e1515-a3da-429d-83f6-717be6d9f30d |