Telemedicine and Computer-Based Technologies during Coronavirus Disease 2019 Infection; A Chance to Educate and Diagnose.
Reza Jafarzadeh EsfehaniMohsen Mirzaei FardFarzaneh Habibi Hatam-GhaleAlireza Rezaei KalatAmir FathiMohammad ShariatiAriane Sadr-NabaviRahele MiriHamid Reza BidkhoriMohammad Hassan AelamiPublished in: Archives of Iranian medicine (2020)
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.
Keyphrases
- coronavirus disease
- primary care
- healthcare
- respiratory syndrome coronavirus
- sars cov
- end stage renal disease
- decision making
- ejection fraction
- chronic kidney disease
- pulmonary hypertension
- loop mediated isothermal amplification
- palliative care
- peritoneal dialysis
- prognostic factors
- depressive symptoms
- patient reported outcomes
- social support
- data analysis
- deep learning
- sensitive detection