Nuoya - Research Works

Research Works

selected Published Book chapter and research papers

AI, Pandemic and HealthcareThe demand for telehealth solutions has been growing exponentially after the Covid-19 pandemic. Hospitals remain understaffed, which leads to staff burnouts and unsatisfactory patient experience. They also find it difficult to use AI to reduce the workload for doctors and nurses. Doctors barely use data collected from wearables and home-use medical devices to make diagnosis. As generative AI advances, traditional medical device manufacturers are exploring with open innovation to transform into a

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Interdisciplinary research unlocking innovative solutions in healthcareAdvances in Internet of Things (IoT) devices and in Machine Learning (ML) applications can provide valuable insights and predictions on personal healt…

Assessing Elderly User Preference for Telehealth Solutions in China: Exploratory Quantitative Study

Stakeholder Power Analysis of the Facilitators and Barriers for Telehealth Solution Implementation in China: A Qualitative Study of Individual Users in Beijing and Interviews With Institutional Stakeholders

Leapfrogging: The Life Science SectorThe chapter investigates new trends in the life science sector in China. The chapter first discusses how the Chinese government is promoting innovation and competitiveness for the life-science sector, both to satisfy internal demand and to compete at the...

Frontiers | Workplace Violence and Turnover Intention Among Psychiatrists in a National Sample in China: The Mediating Effects of Mental HealthBackgroundWorkplace violence (WPV) in healthcare has received much attention worldwide. However, scarce data are available on its impact on turnover intentio...

AI, Pandemic and HealthcareThe demand for telehealth solutions has been growing exponentially after the Covid-19 pandemic. Hospitals remain understaffed, which leads to staff burnouts and unsatisfactory patient experience. They also find it difficult to use AI to reduce the workload for doctors and nurses. Doctors barely use data collected from wearables and home-use medical devices to make diagnosis. As generative AI advances, traditional medical device manufacturers are exploring with open innovation to transform into a

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