Adoption model of healthcare wearable devices

The progressive advances in the fifth-generation standard for cellular networks have led to innovations in the artificial intelligence of things, which have changed the layout of the medical industry. The applications of wearable medical devices and services are under continual expansion. Key factors influencing intention to use (e. g., economic burden, data privacy, perceived ease of use, and perceived usefulness) require further investigation. In the present study, the participants were surveyed by questionnaire, and path analysis was used to examine causality. The results revealed that intention to adopt was likely to be higher for wearable medical devices that offered high data privacy, had high perceived ease of use, and provided reliable data (with regard to accurate references for physical health). Conversely, the economic burden imposed by wearable medical devices and services was likely to reduce intention to adopt. Therefore, the payment mechanism warrants cautious evaluation.

Automated summary

The continuous advancements in the fifth-generation standard for cellular networks have led to innovations in the artificial intelligence of things, transforming the landscape of the medical industry, particularly in wearable medical devices and services. Key factors influencing intention to use include economic burden, data privacy, perceived ease of use, and perceived usefulness. Findings suggest that high data privacy, high perceived ease of use, and reliable data positively impact intention to adopt wearable medical devices, while economic burden has a negative impact. Therefore, careful evaluation of the payment mechanism is warranted.