Application of an Artificial Intelligence Trilogy to Accelerate Processing of Suspected Patients With SARS-CoV-2 at a Smart Quarantine Station: Observational Study

• Auteurs principaux: Liu, Ping-Yen (Auteur), Tsai, Yi-Shan (Auteur), Chen, Po-Lin (Auteur), Tsai, Huey-Pin (Auteur), Hsu, Ling-Wei (Auteur), Wang, Chi-Shiang (Auteur), Lee, Nan-Yao (Auteur), Huang, Mu-Shiang (Auteur), Wu, Yun-Chiao (Auteur), Ko, Wen-Chien (Auteur), Yang, Yi-Ching (Auteur), Chiang, Jung-Hsien (Auteur), Shen, Meng-Ru (Auteur)
• Format: Livre
• Publié: JMIR Publications, 2020-10-01T00:00:00Z.
• Sujets: article
• Accès en ligne: Connect to this object online.

BackgroundAs the COVID-19 epidemic increases in severity, the burden of quarantine stations outside emergency departments (EDs) at hospitals is increasing daily. To address the high screening workload at quarantine stations, all staff members with medical licenses are required to work shifts in thes...