DC Field | Value | Language |
---|---|---|
dc.contributor.author | Markopoulos, Dimitrios | - |
dc.contributor.author | Tsolakidis, Anastasios | - |
dc.contributor.author | Marinagi, Catherine | - |
dc.contributor.author | Karanikolas, Nikitas N. | - |
dc.contributor.author | Skourlas, Christos | - |
dc.date.accessioned | 2025-03-07T10:55:45Z | - |
dc.date.available | 2025-03-07T10:55:45Z | - |
dc.date.issued | 2023-11-24 | - |
dc.identifier | scopus-85187555792 | - |
dc.identifier.isbn | 979-8-4007-1626-3 | - |
dc.identifier.other | 85187555792 | - |
dc.identifier.uri | https://uniwacris.uniwa.gr/handle/3000/2999 | - |
dc.description.abstract | Intensive Care Units (ICUs) generate a large amount of valuable data related to the health status of patients. In addition, ICUs can leverage other sources of big data, such as structured data, text, video, and images. In this work, a framework for the future ICU system is proposed, which is based on the Soft System methodology (SSM) and the use of big data technology. The framework and the related activity models ensure that the ICU can have its particularities and specialties, as well as its core services and functions. The application of the framework also implies that ICU can provide ongoing expertise and training to upgrade its staff, can improve interoperability with the National Health System, and ICU staff intercommunication and remote services. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics (PCI 2023) | en_US |
dc.relation.ispartofseries | ACM International Conference Proceeding Series | en_US |
dc.subject | Big data | en_US |
dc.subject | Intensive care | en_US |
dc.subject | MIMIC III | en_US |
dc.subject | Soft system methodology | en_US |
dc.title | Applying Soft System Methodology for a clearer understanding of the future Intensive Care Units | en_US |
dc.type | Conference Paper | en_US |
dc.relation.conference | 27th Pan-Hellenic Conference on Progress in Computing and Informatics (PCI 2023), 24-26 November 2023, Lamia, Greece | en_US |
dc.identifier.doi | 10.1145/3635059.3635084 | en_US |
dc.identifier.scopus | 2-s2.0-85187555792 | - |
dcterms.accessRights | 1 | en_US |
dc.relation.dept | Department of Business Administration | en_US |
dc.relation.faculty | School of Administrative, Economics and Social Sciences | en_US |
dc.identifier.spage | 163 | en_US |
dc.identifier.epage | 170 | en_US |
dc.collaboration | University of West Attica (UNIWA) | en_US |
dc.journals | Open Access | en_US |
dc.publication | Peer Reviewed | en_US |
dc.country | Greece | en_US |
local.metadatastatus | verified | en_US |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
item.openairetype | Conference Paper | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
crisitem.author.dept | Department of Archival, Library and Information Studies | - |
crisitem.author.faculty | School of Administrative, Economics and Social Sciences | - |
crisitem.author.orcid | 0000-0001-7364-4542 | - |
crisitem.author.parentorg | School of Administrative, Economics and Social Sciences | - |
Appears in Collections: | Book Chapter / Κεφάλαιο Βιβλίου |
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