用于冠状病毒患者的智能远程监测应用程序:reCOVeryaID。

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Frontiers in Big Data Pub Date : 2023-09-18 eCollection Date: 2023-01-01 DOI:10.3389/fdata.2023.1205766
Daniela D'Auria, Raffaele Russo, Alfonso Fedele, Federica Addabbo, Diego Calvanese
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引用次数: 0

摘要

新冠肺炎紧急情况强调了解决领土卫生监测关键问题的重要性,如电话线过载、医生感染、慢性病患者无法进入医院等,从而给那些最需要它们的人带来问题;这些人,通常是老年人,经常感到孤独,因为远程医疗不好而被医疗系统抛弃。此外,医生无法对最严重的病例进行随访,也无法确保其他病例不会恶化。因此,在第一波疫情期间,我们有了设计一个系统的想法,可以帮助人们减轻恐惧,并由医院和家里的医生不断监测;因此,我们开发了reCOVeryaID,一种针对冠状病毒患者的远程监测应用程序。这是一个由知识库支持的自主应用程序,如果检测到患者短期和长期生命体征的危险趋势,它可以迅速做出反应并通知医生。在这篇论文中,我们还通过对新冠肺炎感染者的真实数据进行测试,在现实世界中验证了知识库规则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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An intelligent telemonitoring application for coronavirus patients: reCOVeryaID.

The COVID-19 emergency underscored the importance of resolving crucial issues of territorial health monitoring, such as overloaded phone lines, doctors exposed to infection, chronically ill patients unable to access hospitals, etc. In fact, it often happened that people would call doctors/hospitals just out of anxiety, not realizing that they were clogging up communications, thus causing problems for those who needed them most; such people, often elderly, have often felt lonely and abandoned by the health care system because of poor telemedicine. In addition, doctors were unable to follow up on the most serious cases or make sure that others did not worsen. Thus, uring the first pandemic wave we had the idea to design a system that could help people alleviate their fears and be constantly monitored by doctors both in hospitals and at home; consequently, we developed reCOVeryaID, a telemonitoring application for coronavirus patients. It is an autonomous application supported by a knowledge base that can react promptly and inform medical doctors if dangerous trends in the patient's short- and long-term vital signs are detected. In this paper, we also validate the knowledge-base rules in real-world settings by testing them on data from real patients infected with COVID-19.

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来源期刊
CiteScore
5.20
自引率
3.20%
发文量
122
审稿时长
13 weeks
期刊最新文献
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