• Reza Jafarzadeh-Esfehani, Mohsen Mirzaei Fard, Farzaneh Habibi Hatam-Ghale, Alireza Rezaei Kalat, Amir Fathi, Mohammad Shariati, Ariane Sadr-Nabavi, Rahele Miri, Hamid Reza Bidkhori, and Mohammad Hassan Aelami.
• Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
• Arch Iran Med. 2020 Aug 1; 23 (8): 561-563.

AbstractCoronavirus 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.© 2020 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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