Author/Authors :
Jafarzadeh-Esfehani, Reza Department of Medical Genetics and Molecular Medicine - Faculty of Medicine - Mashhad University of Medical Sciences - Mashhad - Iran , Mirzaei Fard, Mohsen Department of Engineering - Faculty of Electrical & Electronics Engineering - Ferdowsi University - Mashhad - Iran , Habibi Hatam-Ghale, Farzaneh Department of Engineering - Faculty of Computer Engineering - Khayyam University - Mashhad - Iran , Rezaei Kalat, Alireza Department of Chemical and Petroleum Engineering - Sharif University of Technology - Tehran - Iran , Fathi, Amir Department of Engineering - Faculty of Computer Engineering - Khayyam University - Mashhad - Iran , Shariati, Mohammad Blood Borne Infections Research Center -Academic Center for Education - Culture - and Research (ACECR)-Khorasan Razavi - Mashhad - Iran , Sadr-Nabavi, Ariane Blood Borne Infections Research Center -Academic Center for Education - Culture - and Research (ACECR)-Khorasan Razavi - Mashhad - Iran , Miri, Rahele Blood Borne Infections Research Center -Academic Center for Education - Culture - and Research (ACECR)-Khorasan Razavi - Mashhad - Iran , Bidkhori, Hamid Reza Blood Borne Infections Research Center -Academic Center for Education - Culture - and Research (ACECR)-Khorasan Razavi - Mashhad - Iran , Aelami, Mohammad Hassan Department of Medical Genetics and Molecular Medicine - Faculty of Medicine - Mashhad University of Medical Sciences - Mashhad - Iran
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.
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