D'Auria Daniela, Russo Raffaele, Fedele Alfonso, Addabbo Federica, Calvanese Diego
Faculty of Engineering, Free University of Bozen-Bolzano, Bolzano, Italy.
Pineta Grande Hospital, Caserta, Italy.
Front Big Data. 2023 Sep 18;6:1205766. doi: 10.3389/fdata.2023.1205766. eCollection 2023.
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.
新冠疫情凸显了解决地区健康监测关键问题的重要性，比如电话线过载、医生面临感染风险、慢性病患者无法就医等。事实上，人们常常出于焦虑给医生/医院打电话，却没意识到自己堵塞了通信线路，从而给最需要医疗服务的人带来麻烦；这类人往往是老年人，由于远程医疗服务不佳，他们常常感到被医疗系统冷落和抛弃。此外，医生无法跟进最严重的病例，也无法确保其他病例不会恶化。因此，在第一波疫情期间，我们萌生了设计一个系统的想法，该系统可以帮助人们缓解恐惧，并在医院和家中都能得到医生的持续监测；于是，我们开发了reCOVeryaID，一款针对新冠患者的远程监测应用程序。它是一个由知识库支持的自主应用程序，一旦检测到患者短期和长期生命体征出现危险趋势，就能迅速做出反应并通知医生。在本文中，我们还通过对新冠感染真实患者的数据进行测试，在现实环境中验证了知识库规则。
