| Literature DB >> 32894969 |
Reza Jafarzadeh-Esfehani1,2, Mohsen Mirzaei Fard3, Farzaneh Habibi Hatam-Ghale4, Alireza Rezaei Kalat5, Amir Fathi4, Mohammad Shariati2,6, Ariane Sadr-Nabavi1,2, Rahele Miri2, Hamid Reza Bidkhori2, Mohammad Hassan Aelami7.
Abstract
Coronavirus disease 2019 (COVID-19) is now of global concern due to its rapid dissemination across the globe. The rapid spread of this viral infection, along with many of its unknown aspects, has posed new challenges to the health care systems. The main challenging effects of COVID-19 are rapid dissemination through close contact and varying clinical severity among different individuals. Furthermore, the medical staff in endemic areas are becoming exhausted and deal with a considerable level of job burnout, which can negatively affect their medical decision making. Also, due to the variable pulmonary manifestations of COVID-19, some physicians may misdiagnose patients. To overcome these issues, we proposed a web-based software to aid physicians in detecting possible COVID-19 cases through online consultation with different specialists and educate the not-well experienced physicians. Our results demonstrated that this software could improve the diagnostic rate for not-well experienced physicians.Entities:
Keywords: Coronavirus; Pandemics; Telemedicine
Mesh:
Year: 2020 PMID: 32894969 DOI: 10.34172/aim.2020.60
Source DB: PubMed Journal: Arch Iran Med ISSN: 1029-2977 Impact factor: 1.354