Research on the influence mechanism and governance mechanism of digital divide for the elderly on wisdom healthcare: The role of artificial intelligence and big data

Abstract

With the rapid development of digital information technology, life has become more convenient for people; however, the digital divide for the elderly was even more serious, so they became a forgotten group in the internet age over time. Residents' demand for healthcare is rising, but the wisdom healthcare service supported by digital information technology is less acceptable to the elderly due to the digital divide. Based on the knowledge gap theory and combining the value perception and satisfaction model, this study explores the influence of the digital divide for the elderly on wisdom healthcare satisfaction and takes the perceived value of wisdom healthcare as a mediator, and artificial intelligence and big data as moderators into the research framework. Based on the data of 1,052 elderly people in China, the results show that the digital divide for the elderly has a negative influence on wisdom healthcare satisfaction and perceived value. Moreover, it is found that wisdom healthcare perception value mediated the relationship between the digital divide for the elderly and the wisdom healthcare satisfaction, which enhances the negative effect of the digital divide for the elderly on wisdom healthcare satisfaction. Furthermore, the moderating effect of artificial intelligence and big data on the relationship between the digital divide for the elderly and the perceived value of wisdom healthcare is opposite to that between the perceived value of wisdom healthcare and wisdom healthcare satisfaction. Therefore, this study has a reference value for the development and optimization of smart medical industry.

Class Identity, Social Network, and Multidimensional Information Poverty of the Elderly People in China

“…Elderly people pay a larger portion of pension toward physical treatment, and information technology investment is proportionately downsized [7]. At the same time, because of the deterioration of the physiological function, elderly people may feel powerless while receiving information and applying media, which is consistent with the research conclusion of Zhou J et al [37]. Health status has a major positive impact on the multidimensional information poverty of the elderly people.…”

Artificial intelligence and aging: potential and precautions

“…Further systematic improvements to address the older population's digital skills and beliefs about the value of vicariously delivered service provision, along with those to allay anxiety about any possible AI data disclosure leakages, data sharing or usage and/or feelings of apprehension over invasive diagnostic mechanisms such as facial recognition and genetic profiling should be sought continuously, in addition to any technological improvements and advancements. 45,46,49,50…”

Artificial intelligence and rehabilitation: what’s new and promising

“…This raises concerns about how AI is being used to advance elder care across the lifespan, and whether the predictive models in AI systems may be flawed, as well as amplifying health related inequities, privilege, disability, the digital divide, plus an implicit as well as explicit age associated bias towards passive types of rehabilitation support for older ill or disabled adults plus an almost exclusive focus on tertiary prevention, and efforts to redistribute limited human service providers through AI based technological avenues, rather than relying on human wisdom and its apparent satisfying attributes. 52,53 However, more well designed randomized clinical trials are needed to advance health care for the older adult despite the promise of AI. 54…”