Would the Use of Artificial Intelligence in COVID-19 Patient Management Add Value to the Healthcare System?

Frontiers in Medicine

article

Manuel Cossio¹  Ramiro E. Gilardino² 

[1] Artificial Intelligence Master's Program, Faculty of Informatics, Catalonian Polytechnic University;United States

关键词: SARS-CoV-2;    COVID-19;    artificial intelligence;    machine learning;    health systems;    value based healthcare;   

DOI  :  10.3389/fmed.2021.619202

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Since late 2019, when emerged from Wuhan, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) encircled the globe originating the coronavirus disease 2019 (COVID-19) pandemic (1). Up to December 5, it infected 65 million people, and it caused 1.5 million deaths (2). While 80% of patients present mild symptoms, 20% may experience more severe symptoms that require strict follow-up and hospitalization. Further, about 28–30% of these hospitalized patients will be admitted to the intensive care unit (ICU) (3). COVID-19 burdened healthcare systems worldwide and changed the paradigm of providing patient care to maximize efficiency and prevent staff members’ transmission, which might decrease the workforce to manage the surge.

【 授权许可】

CC BY