Publication
Statistical Modeling of Affluence to the Emergency Service of HESE
| dc.contributor.author | Ascenso, Raquel | |
| dc.date.accessioned | 2022-01-06T10:53:29Z | |
| dc.date.available | 2022-01-06T10:53:29Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | The demand for emergency services in hospitals is a global problem affecting health professionals and users. This overcrowding is associated with several factors, including reduced access to other medical emergency or primary care services, and has led to delays in the care of urgent patients. Hospital do Esp´ırito Santo de Evora, EPE (HESE) is the largest and main hospital unit in ´ Alentejo, the one that offers greater differentiation and, in addition to receiving patients from Central Alentejo, treats more and more patients from Alto Alen tejo, Baixo Alentejo and Alentejo Litoral. In this work, based on generalized linear models and control charts, we analyze the inflow of users to the emer gency service, seeking to provide support for decision making by the service management team. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.isbn | 978-989-98955-8-4 | |
| dc.identifier.uri | http://hdl.handle.net/10400.26/38651 | |
| dc.language.iso | eng | pt_PT |
| dc.subject | control charts | pt_PT |
| dc.subject | exploratory data analysis | pt_PT |
| dc.subject | emergency department | pt_PT |
| dc.subject | generalized linear models | pt_PT |
| dc.subject | hospital user | pt_PT |
| dc.title | Statistical Modeling of Affluence to the Emergency Service of HESE | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| person.familyName | Lopes Ascenso | |
| person.givenName | Loide Raquel | |
| person.identifier.ciencia-id | 4416-D5EB-93F9 | |
| person.identifier.orcid | 0000-0002-9341-6149 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | 8338e23d-402d-4db9-8af2-fc18d7c5ef38 | |
| relation.isAuthorOfPublication.latestForDiscovery | 8338e23d-402d-4db9-8af2-fc18d7c5ef38 |
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