Appropriate admission in Covid-19 era: the case study of the C.O.U. Neurology and Stroke Unit

I. Loperto, A. Scala, R. Alfano, Teresa Angela Trunfio, Cristiana Giglio, Giovanni Rossi, A. Borrelli, M. Triassi, G. Improta
{"title":"Appropriate admission in Covid-19 era: the case study of the C.O.U. Neurology and Stroke Unit","authors":"I. Loperto, A. Scala, R. Alfano, Teresa Angela Trunfio, Cristiana Giglio, Giovanni Rossi, A. Borrelli, M. Triassi, G. Improta","doi":"10.1145/3502060.3503656","DOIUrl":null,"url":null,"abstract":"Hospital services absorb almost half of the costs of the health sector; therefore, it is necessary to promote the effectiveness, efficiency and appropriateness of the services provided. These concepts become even more important in the era of the CoViD-19 pandemic, where the efforts made to manage it have absorbed all hospital resources. Inappropriate hospitalization and length of stay (LOS) are the factors that impose higher costs on hospitals. This study analyzed how CoViD-19 changed the activity of the Department of Neurology and Stroke Unit of the \"San Giovanni di Dio e Ruggi d'Aragona\" University Hospital of Salerno (Italy). Logistic regression showed a significant increase in relative Diagnosis Related Group (DRG) weight which translates into greater appropriateness of admission diagnoses.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Symposium on Biomedical Engineering and Computational Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3502060.3503656","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Hospital services absorb almost half of the costs of the health sector; therefore, it is necessary to promote the effectiveness, efficiency and appropriateness of the services provided. These concepts become even more important in the era of the CoViD-19 pandemic, where the efforts made to manage it have absorbed all hospital resources. Inappropriate hospitalization and length of stay (LOS) are the factors that impose higher costs on hospitals. This study analyzed how CoViD-19 changed the activity of the Department of Neurology and Stroke Unit of the "San Giovanni di Dio e Ruggi d'Aragona" University Hospital of Salerno (Italy). Logistic regression showed a significant increase in relative Diagnosis Related Group (DRG) weight which translates into greater appropriateness of admission diagnoses.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Covid-19时代的适当入院:以c.o.u神经病学和中风科为例
医院服务承担了卫生部门近一半的费用;因此,有必要促进所提供服务的有效性、效率和适当性。在CoViD-19大流行时代,这些概念变得更加重要,因为管理它的努力已经占用了医院的所有资源。不适当的住院和住院时间(LOS)是增加医院费用的因素。本研究分析了CoViD-19如何改变意大利萨莱诺“圣乔瓦尼·迪·迪·鲁吉·达·阿拉戈纳”大学医院神经病学和中风科的活动。逻辑回归显示相对诊断相关组(DRG)权重显著增加,转化为入院诊断的更适当性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Self-correction in protoacoustic range verification for different proton pulse widths A comparison of different Machine Learning algorithms for predicting the length of hospital stay for patients undergoing cataract surgery Modelling the hospital length of stay for patients undergoing laparoscopic appendectomy through a Multiple Regression Model Investigation of the risk of surgical infections at the “Federico II” University Hospital by regression analysis using the Firth method Healthcare Associated Infections in the Neonatal Intensive Care Unit of the “Federico II” University Hospital: Statistical Analysis and Study of Risk Factors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1