Application of the Industry 4.0 technologies to mobile learning and health education apps

Abstract

The so-called fourth industrial revolution brought a disruptive change in the way that communication technologies, distributed systems, intelligent data management, analytics and computational capability and other technologies are integrated to enable new functions and enhance capabilities not only to production systems, but also in many other domains such as education. Mobile Health (m-Health) education is one of these, where the number of applications and tools for m-Health education is extensive. The SARS-Cov2 (Covid-19) pandemic brought to life immense challenges towards education, technology, and the symbiosis with medicine. This paper introduces 31 of the current state-of-the-art m-Health education applications and analyses the results of an an inquiry to students and junior doctors during the confinement, designed to understanding their knowledge, use and trust regarding these apps. The results show that several applications are well perceived by their users and deserved their trust and confirms a good relation between use and trust on the applications analysed. This analysis open doors to a deeper study to evaluate at which extent improving m-Health education means not only to transmit knowledge but also to developing skills and better practices.

Midwifery Continuity of Care in Indonesia: Initiation of Mobile Health Development Integrating Midwives’ Competency and Service Needs

“…Thus, competence greatly influences performance appraisal in midwifery services [ 91 ]. It is needed to meet public health needs so midwives can provide quality healthcare [ 35 , 66 ]. Midwives working within an organization should be supported to develop their professional roles to become knowledgeable, competent, and confident [ 92 ].…”

“…Through mHealth, learning can be a new, challenging method of health promotion for midwives and their communities. Today, mobile systems enable connectivity to the web, which is essential in health care and plays a role in continuous learning for health professionals and health promotion for the community [ 35 ]. According to previous research, there have been several applications that midwives have used to provide mother–child health (MCH), such as e-cohort [ 36 ], Tele-CTG [ 37 ], iPosyandu [ 38 ], Continuum of Care Services (CCS) [ 39 ], and Traditional Birth Attendants (TBAs) mHealth for traditional attendance [ 40 ].…”

Artificial Intelligence as a Support Tool to Cybersecurity Activities

“…In addition to defending against the known attacks mentioned above, the security of the AI model itself should be strengthened to prevent possible attacks by model validation or other means. Most importantly, AI systems can pose a potential threat to humans, in particular when using AI in robots [23], [24]. They can generate actions autonomously without manual intervention and can break away from human control due to self-learning capabilities [24], [25], [26].…”

“…Most importantly, AI systems can pose a potential threat to humans, in particular when using AI in robots [23], [24]. They can generate actions autonomously without manual intervention and can break away from human control due to self-learning capabilities [24], [25], [26].…”

Paranoid OS: Wearable Trackers

“…Advanced Research on Information Systems Security, an International Journal (ARIS 2 ) (2021) Volume 1, No 1, pp[24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40] …”