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Interoperability and Information-Sharing Paradigm for IoT-Enabled Healthcare
Published in Sanjay Kumar Biswash, Sourav Kanti Addya, Cloud Network Management, 2020
Brian Desnoyers, Kendall Weistroffer, Jenna Hallapy, Sandeep Pisharody
In today’s world, mobile technology is ubiquitous. Handheld devices such as smartphones and tablets provide access to information and communications across the world. According to the Pew Research Center, an estimated 94% of adults living in advanced economies own a mobile phone, with the numbers expected to increase within the next few years [357]. This growth in both users and the use of mobile and wireless technologies over the last few years promises a rise in new opportunities for the integration of mobile health technologies. Mobile health, or mHealth, provides users with mobile self-care through the use of consumer apps, devices, and connections that enable users to capture their own health data [246] and receive personal health interventions. Currently, mHealth provides a broad range of services to users, including survey and questionnaire delivery [359], real-time habit recognition and adherence support [63, 138, 276, 374], and pervasive sensor data collection [299, 376]. Although there is no standardized definition of mHealth, we have adopted the definition proposed by the World Health Organization in this chapter: mHealth is the use of mobile and wireless technologies to support the achievement of health objectives [257].
Healthcare information security and assurance
Published in Abbas Moallem, Human-Computer Interaction and Cybersecurity Handbook, 2018
Ulku Yaylacicegi Clark, Jeffrey G. Baltezegar
mHealth is used to denote how mobile and wireless technologies can be used to improve health-related services. The field of mHealth has undergone rapid changes and continues to move up the healthcare agenda (Istepanian and Xhang, 2012; Sebelius, 2011; Varshney, 2011). Seventy-seven percent of the US population now have a smartphone (Pew Research Center, 2017), and these phones continue to develop new features and see improvements in computing power. Smartphones can now be used to track, manage, and improve health (Landau, 2012a, 2012b; Powell et al., 2014). Perhaps the most visible element of mHealth is the profusion of phone applications (apps), especially the ones related to fitness and wellness. A simple search in application stores shows the presence of a large number of such applications. There were more than 90,000 iOS mHealth applications available in 2015—with a more than 100% increase compared to 43,000 iOS mHealth applications available in 2013. In addition, global health application downloads increased from 1.7 billion in 2013 to 3.7 billion 2017 (Statista, 2018). In 2020, the global mHealth market value is estimated to be $58.8 billion.
Wireless Network Security for Health Applications
Published in Syed Ijlal Ali Shah, Mohammad Ilyas, Hussein T. Mouftah, Pervasive Communications Handbook, 2017
In particular, we consider here aspects of the so-called “mHealth” (also written as “m-health” or sometimes “mobile health”), a recent term for medical and public health practice supported by mobile devices, such as cellular phones, patient monitoring devices, PDAs, and other wireless devices [1]. Applications of mHealth include the use of mobile devices in collecting clinical health data, delivery of health care information to practitioners, researchers, and patients, real-time monitoring of patient vital signs, and direct provision of care (via telehealth). We consider mHealth to be not a set of independent systems, but just a complementary system to the complete medical system.
Feeling Moodie: Insights from a Usability Evaluation to Improve the Design of mHealth Apps
Published in International Journal of Human–Computer Interaction, 2023
Gerry Chan, Alaa Alslaity, Richard Wilson, Rita Orji
Mobile health (a.k.a. mHealth) apps are gaining attention because of their convenience and vast functionalities, from managing stress (Christmann et al., 2017) to assisting health care professionals in patient care (Morse et al., 2018). A recent review of consumers’ perception of mHealth apps found that user-friendliness and usefulness of content are important factors to sustain user engagement (Chan & Honey, 2022). mHealth apps have many advantages over traditional interventions, such as making information more quickly available to users, facilitating efficient exchange of information between patients and healthcare providers, as well as giving users a sense of control by helping them manage their own health (Vo et al., 2019). However, research suggests that mHealth apps fall short with respect to appropriateness, personalization, and accessibility (Vo et al., 2019). Research also shows that reasons users become disengaged and discontinue the use of mHealth apps include the lack of support features and the experience of technical glitches (Amagai et al., 2022). In the present study, we address some of these limitations by investigating better methods to personalize the features aiming to improve the user experience and increase the level of engagement.
mHealth Adoption Among Older Chinese Adults: A Conceptual Model With Design Suggestions
Published in International Journal of Human–Computer Interaction, 2023
Mobile health (mHealth) is defined as the “medical and public health practice supported by mobile technologies” (WHO, 2011). It allows the general population to collect and manage their health data anytime and anywhere (Bashshur et al., 2011; Free et al., 2013; Kumar et al., 2013). The benefits of mHealth include encouraging healthy behaviors (Free et al., 2013), reducing or avoiding the emergence of health problems, helping patients with chronic diseases in self-management (Beratarrechea et al., 2014), and making possible real-time communication with doctors (Klasnja & Pratt, 2012; Shen et al., 2017). The amount of research on mHealth and older adults is rising rapidly (Tajudeen et al., 2021). Sun et al. (2016) reviewed the trends in mHealth for aging China from the perspective of its clinical applications. In 2019, the rate of Chinese smartphone ownership reached 96% (iResearch, 2020). With the fast spread of smartphones, mHealth nowadays is also characterized by the use of mHealth applications (apps) that can be operated using smartphones (Perry et al., 2019).
The New Social Contract for Genomics
Published in The New Bioethics, 2023
Incorporating education into life science governance builds upon the growing salience of the concept of empowerment within healthcare. There is a broad consensus that the use of digital technologies within a health context can empower patients (Affinito et al. 2020). mHealth, which refers to the use of mobile devices in a medical setting, is enabling greater access to relevant health information, which in turn is leading patients – especially those with chronic diseases such as diabetes and mental illness – to take a more active role in managing their illness. As well as improving health literacy among patients, mHealth technologies are making what was a unidirectional flow of information, more of a dialogue between doctors and patients (Robinson 2013). Much like the role these technologies are starting to have in fostering more independent decision-making, the same technologies could be used as part of a governance framework that aims to increase public understanding, and include the public in policy-making.