Predicting the motivators of telemedicine acceptance in COVID-19 pandemic using multiple regression and ANN approach

Abstract

Since the outbreak of COVID-19, healthcare professionals and patients widely accepted the usages of Telemedicine. Though it has many potential benefits but still lacks appreciation on large scale. In this research work, Multiple regression and Artificial Neural network (ANN) techniques are used to examine the data collected from 146 patients through

Digital transformation of healthcare during the COVID-19 pandemic: Patients’ teleconsultation acceptance and trusting beliefs

“…Teleconsultation themes in literature focus on performance improvement of the proposed solutions ( Pérez-Noboa et al, 2021 ) and analyze adoption factors by using technology acceptance models ( Baudier et al, 2021 ; Rahi et al, 2020 ; Dash et al, 2021 ; Barua and Barua, 2021 ). The intersection of both medical and technology research paths contributes to the understanding of the challenges and insights of teleconsultation.…”

Assessing Effectiveness of Humanitarian Activities against COVID-19 Disruption: The Role of Blockchain-Enabled Digital Humanitarian Network (BT-DHN)

“…The disruption caused by the virus outbreaks such as coronavirus (2019-nCoV) in China, the Zika virus, avian influenza A (H7N9), and Ebola virus (Zaire strain) in West Africa created a threat to human health and safety that questions the readiness/preparedness of any organization in meeting such emergency. The rise of the supply of 'essential items' (items of daily needs) and medical equipment (personal protection equipment, surgical masks, and ventilators) faces unprecedented demand for a much higher volume in comparison to the pre-COVID-19 situation [5,6]. The imbalance of demand and supply and the threat to human lives warrants humanitarian activities that offer long-term and short-term aid to the affected population.…”

Exploring the role of artificial intelligence in managing agricultural supply chain risk to counter the impacts of the COVID-19 pandemic

“…In the same way as the other industries of the global economy, the food industry was also hit hard in terms of huge losses by the pandemic in 2020 (Dash et al , 2021; Chowdhury et al , 2020). The pandemic has badly impacted the agriculture SC regarding risks related to humanitarian problems and uncertain business scenarios, which influenced the world socio-economically.…”