Universidade Federal da Fronteira Sul, Chapecó, Brasil.
Universidade Federal de Santa Catarina, Florianópolis, Brasil.
Cad Saude Publica. 2021 Mar 12;37(3):e00243220. doi: 10.1590/0102-311X00243220. eCollection 2021.
The coronavirus pandemic that struck the world in late 2019 continues to break records of new cases and deaths from the disease. Guidelines for clinical management of infected patients and prevention of new cases focus on measures to control symptoms, hygiene habits, social distancing, and decrease in human crowding. This forced a change in the way health services provide care, generating the incorporation of new health technologies. The Essay thus aims to compile and analyze experiences in the use of digital health technologies to minimize the impacts of COVID-19. The authors identified the development of technological solutions for clinical management of patients, imaging diagnosis, use of artificial intelligence for risk analysis, geolocation apps, data analysis and reports, self-diagnosis, and even orientation for decision-making. The great majority of the initiatives listed here prove effective in minimizing the impacts of COVID-19 on health systems and aim to decrease human crowding and thus facilitate access to services, besides contributing to the incorporation of new health practices and modes of care.
2019 年末袭击世界的冠状病毒大流行继续创下新发病例和死亡病例的纪录。针对感染患者的临床管理和预防新发病例的指南侧重于控制症状、卫生习惯、社会隔离和减少人群拥挤的措施。这迫使卫生服务提供护理的方式发生了变化，从而引入了新的卫生技术。因此，本文旨在汇编和分析使用数字卫生技术来最大程度减少 COVID-19 影响的经验。作者确定了为患者临床管理、影像诊断、人工智能用于风险分析、地理位置应用程序、数据分析和报告、自我诊断甚至决策导向而开发的技术解决方案。这里列出的绝大多数举措都被证明可以有效减少 COVID-19 对卫生系统的影响，旨在减少人群拥挤，从而方便获得服务，同时有助于引入新的卫生实践和护理模式。
