Apps and Their Applications

2018 ◽  
pp. 156-176
Author(s):  
Imran Nizamuddin ◽  
Raveena Basra ◽  
Sai Vanam ◽  
Nurbanu Pirani
Keyword(s):  
Medical Education ◽  
Disease Management ◽  
Mobile Devices ◽  
Mobile Device ◽  
Lifestyle Modification ◽  
Cell Phones ◽  
Medical Professionals ◽  
Primary Method ◽  
Use Of Technology ◽  
Potential Risks

In a society dominated by the use of technology as a primary method of communication and education, it should come as no surprise that medical professionals rely heavily on its use as well. The new dominance of smartphones over cell phones and pagers in medicine is largely influenced by convenience and efficiency, and over 70% of healthcare professionals have reported using a mobile device in their workplaces. This chapter aims to highlight the transition to mobile devices in the medical realm and the benefits for both clinicians and patients. For clinicians, mobile devices and apps may serve as diagnostic aids, med calculators, and clinical references. They can also be used for medical education purposes and access of electronic medical records. For patients, mobile devices and apps are often utilized to find resources and information about diseases, to help with disease management, and to promote lifestyle modification and fitness. Nevertheless, despite the numerous benefits of mobile devices in practice, potential risks and drawbacks must also be considered.

Optimizing Resource Utilization Through Offloading of Jobs in Mobile Devices Using Modified LSTM Algorithm

2020 ◽  
Vol 17 (12) ◽  
pp. 5238-5242
Author(s):  
I. R. Praveen Joe ◽  
Elizabeth Rosalind Rebecca ◽  
D. Arthi
Keyword(s):  
Mobile Devices ◽  
Resource Utilization ◽  
Mobile Device ◽  
Cell Phones ◽  
Scholarly Community ◽  
Business People ◽  
The Troubles ◽  
Cloud Processing ◽  
Points Of Interest ◽  
Research Instruction

Portable cloud processing has picked up notoriety as of late in light of less force utilization and overhead of cell phones. Versatile cloud registering based wellbeing observing, gaming, learning, and business are picking up significance step by step. This part talks about the unrest of portable cloud processing including its design, points of interest, and applications. Different issues of versatile cloud registering are concentrated with arrangements. Towards the examination of these huge volumes of information, huge information and information investigation have become developing exploration fields, pulling in the consideration of the scholarly community, industry and governments. Scientists, business people, chiefs and issue solvers see ‘large information’ as the apparatus to reform different enterprises and areas, for example, business, medicinal services, retail, research, instruction and open organization. Offloading alludes to a process where information stockpiling, calculations and computations are executed in a remote cloud rather than mobile device. Thusly, the energy consumed by the gadget is expanded just as the troubles of capacity and asset constraints are expelled. Right now, have talked about on offloading with its applications toward vitality effectiveness.

Technological and Ethical Challenges of Online Education

2021 ◽  
pp. 1123-1136
Author(s):  
Lauren Haar ◽  
Simon Kaja
Keyword(s):  
Medical Education ◽  
Online Education ◽  
Best Practice ◽  
Medical Professionals ◽  
Learning Approaches ◽  
Ethical Challenges ◽  
Self Directed Learning ◽  
Education Professionals ◽  
Use Of Technology ◽  
Assessment Specialists

The impact of technology can be felt throughout the medical education continuum. From online learning environments in blended learning approaches to exclusively providing the preclinical curriculum online, there is a growing need to optimize the way that technology supports self-directed learning in the next generation of medical professionals. In this chapter, the authors address issues of best practice surrounding the development of virtual content for medical education. The information presented will be integral for medical education professionals, basic science/clinical faculty, and educational assessment specialists with an interest in the use of technology for contemporary medical education. The goal is to offer an overview of the theory and ethics behind adopting an online strategy for medical education. An emphasis is placed on developing best practices for presenting content, a comparison of blended and online-only approaches, and the ethical considerations necessary for the successful training of medical professionals online.

Topology for Intelligent Mobile Computing

2009 ◽  
pp. 589-596
Author(s):  
Robert Statica ◽  
Fadi P. Deek
Keyword(s):  
Mobile Computing ◽  
Mobile Devices ◽  
Mobile Device ◽  
Rural Areas ◽  
Cell Phones ◽  
Mobile User ◽  
Base Stations ◽  
Global Networks ◽  
Mobile Phone System ◽  
Single Standard

We discuss an interconnectivity framework for data and content delivery to mobile devices that allows data of higher priority to reach the mobile unit in the shortest time possible. Two possible scenarios are presented; one that connects the servers in an N-cube configuration network, and another that shows the same N servers connected in a grid type network. The goal is to minimize the rate of data jumps from server to server until it reaches the mobile device. As the mobile user travels, the mobile device registers itself with the next server and the session is migrated from the old server to the new one without interruptions, in an analogous way, cell phones move from one cell to another. Starting with the idea that all data is not equal (in importance/priority), this article suggest a framework topology for intelligent mobile computing that guarantees data will reach the mobile device in a minimum amount of time, assuring at the same time the privacy of transmission. The integration of this type of technology into the 3r d Generation (3G), and 4t h Generation (4G) mobile computing is also discussed. Pervasive computing is rapidly emerging as the next generation of computing with the underlying premise of simplicity (of use), minimal technical expertise, reliability, and intuitive interactions. As technology continues to advance and mobile devices become more and more omnipresent, the aim towards achieving easier computing, more availability and prevalence is becoming a given. Through the clever use of advanced technologies, the new generation of intelligent mobile computing has the opportunity to serve user needs via prevalent computing devices that are ever more transportable and connected to an increasingly ubiquitous network structure. Mobile communication is changing as the trends of media convergence including the Internet and its related electronic communication technologies and satellite communications collide into one. A change is being ushered by the 3G (3r d Generation) mobile technology with the usability and usefulness of information delivered to mobile devices taking on added features. For example, multimedia messaging, as opposed to voice transmissions, being delivered to cell phones has rendered such mobile devices an integral part of people’s lives and a core part of how they conduct their daily business rather than an add on tool (Buckingham, 2001). The 3G mobile phone system aims at unifying the disparate standards of current second generation wireless systems. The idea is to eliminate the different types of global networks being adopted with a single standard network. This will allow for the delivery of multimedia content and propagation through the network without the need for conversion from one standard to another. 3G systems need smaller cells thus the need for more base stations (mostly due to their operating frequency, power requirements, and modulation) and in many cases will not be feasible to install them in areas where population is not so dense (i.e., rural areas) (Garber, 2002). Because of these requirements and conditions, a better way to deliver the communication must be established. However, global access to such mobile devices will create data delivery challenges and servers can become clogged with unwanted communication, like that of wired Internet access. The need for moving relevant data to mobile devices in the shortest time possible becomes of utmost importance.

Topology for Intelligent Mobile Computing

2011 ◽  
pp. 1070-1074
Author(s):  
Robert Statica ◽  
Fadi P. Deek
Keyword(s):  
Mobile Computing ◽  
Mobile Devices ◽  
Mobile Device ◽  
Rural Areas ◽  
Cell Phones ◽  
Mobile User ◽  
Base Stations ◽  
Global Networks ◽  
Mobile Phone System ◽  
Single Standard

We discuss an interconnectivity framework for data and content delivery to mobile devices that allows data of higher priority to reach the mobile unit in the shortest time possible. Two possible scenarios are presented; one that connects the servers in an N-cube configuration network, and another that shows the same N servers connected in a grid type network. The goal is to minimize the rate of data jumps from server to server until it reaches the mobile device. As the mobile user travels, the mobile device registers itself with the next server and the session is migrated from the old server to the new one without interruptions, in an analogous way, cell phones move from one cell to another. Starting with the idea that all data is not equal (in importance/priority), this article suggest a framework topology for intelligent mobile computing that guarantees data will reach the mobile device in a minimum amount of time, assuring at the same time the privacy of transmission. The integration of this type of technology into the 3rd Generation (3G), and 4th Generation (4G) mobile computing is also discussed. Pervasive computing is rapidly emerging as the next generation of computing with the underlying premise of simplicity (of use), minimal technical expertise, reliability, and intuitive interactions. As technology continues to advance and mobile devices become more and more omnipresent, the aim towards achieving easier computing, more availability and prevalence is becoming a given. Through the clever use of advanced technologies, the new generation of intelligent mobile computing has the opportunity to serve user needs via prevalent computing devices that are ever more transportable and connected to an increasingly ubiquitous network structure. Mobile communication is changing as the trends of media convergence including the Internet and its related electronic communication technologies and satellite communications collide into one. A change is being ushered by the 3G (3rd Generation) mobile technology with the usability and usefulness of information delivered to mobile devices taking on added features. For example, multimedia messaging, as opposed to voice transmissions, being delivered to cell phones has rendered such mobile devices an integral part of people’s lives and a core part of how they conduct their daily business rather than an add on tool (Buckingham, 2001). The 3G mobile phone system aims at unifying the disparate standards of current second generation wireless systems. The idea is to eliminate the different types of global networks being adopted with a single standard network. This will allow for the delivery of multimedia content and propagation through the network without the need for conversion from one standard to another. 3G systems need smaller cells thus the need for more base stations (mostly due to their operating frequency, power requirements, and modulation) and in many cases will not be feasible to install them in areas where population is not so dense (i.e., rural areas) (Garber, 2002). Because of these requirements and conditions, a better way to deliver the communication must be established. However, global access to such mobile devices will create data delivery challenges and servers can become clogged with unwanted communication, like that of wired Internet access. The need for moving relevant data to mobile devices in the shortest time possible becomes of utmost importance.

Understanding the role of the bring-your-own-device policy in medical education and healthcare delivery at the University of Botswana’s Faculty of Medicine

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khutsafalo Kadimo ◽  
Athulang Mutshewa ◽  
Masego B. Kebaetse
Keyword(s):  
Medical Education ◽  
Mobile Devices ◽  
Mobile Device ◽  
Healthcare Delivery ◽  
Medical Schools ◽  
Bring Your Own Device ◽  
Content Type ◽  
Healthcare Facilities ◽  
Device Use ◽  
The University

Purpose Seeking to leverage on benefits of personal mobile device use, medical schools and healthcare facilities are increasingly embracing the use of personal mobile devices for medical education and healthcare delivery through bring-your-own-device (BYOD) policies. However, empirical research findings that could guide the development of BYOD policies are scarce. Available research is dominated by studies that were guided by technocentric approaches, hence seemingly overlooking the complexities of the interactions of actors in mobile device technologies implementation. The purpose of this study was to use the actor–network theory to explore the potential role of a BYOD policy at the University of Botswana’s Faculty of Medicine. Design/methodology/approach Purposive sampling was used to select the participants and interviews, focus group discussions, observations and document analysis were used to collect data. Data were collected from 27 participants and analysed using grounded theory techniques. Emerging themes were continually compared and contrasted with incoming data to create broad themes and sub-themes and to establish relationships or patterns from the data. Findings The results suggest that the potential roles for BYOD policy include promoting appropriate mobile device use, promoting equitable access to mobile devices and content, and integrating mobile devices into medical education, healthcare delivery and other institutional processes. Research limitations/implications BYOD policy could be conceptualized and researched as a “script” that binds actors/actants into a “network” of constituents (with shared interests) such as medical schools and healthcare facilities, mobile devices, internet/WiFi, computers, software, computer systems, medical students, clinical teachers or doctors, nurses, information technology technicians, patients, curriculum, information sources or content, classrooms, computer labs and infections. Practical implications BYOD is a policy that seeks to represent the interests (presents as a solution to their problems) of the key stakeholders such as medical schools, healthcare facilities and mobile device users. BYOD is introduced in medical schools and healthcare facilities to promote equitable access to mobile devices and content, appropriate mobile device use and ensure distribution of liability between the mobile device users and the institution and address the implication of mobile device use in teaching and learning. Originality/value The BYOD policy is a comprehensive solution that transcends other institutional policies and regulations to fully integrate mobile devices in medical education and healthcare delivery.

Adapting Web Sites for Mobile Devices - A Comparison of Different Approaches

2011 ◽  
pp. 278-290
Author(s):  
Henrik Stormer
Keyword(s):  
Web Service ◽  
Mobile Devices ◽  
Mobile Device ◽  
Web Sites ◽  
Display Size ◽  
Cell Phones ◽  
Personal Digital Assistants ◽  
Data Input ◽  
Almost All ◽  
The Web

With the rise of mobile devices like cell phones and personal digital assistants (PDAs) in the last years, the demand for specialized mobile solutions grows. One key application for mobile devices is the Web service. Currently, almost all Web sites are designed for stationary computers and cannot be shown directly on mobile devices because of their limitations. These include a smaller display size, delicate data input facilities and smaller bandwidth compared to stationary devices. To overcome the problems and enable Web sites also for mobile devices, a number of different approaches exist which can be divided into client and server based solutions. Client based solutions include all attempts to improve the mobile device, for example by supporting zoom facilities or enhance the data input. Server based solutions try to adapt the pages for mobile devices. This chapter concentrates on server-based solutions by comparing different ways to adapt Web sites for mobile devices. It is assumed that Web sites designed for stationary devices already exist. Additionally, it concentrates on the generation of HTML pages. Other languages, designed especially for mobile devices like WML or cHTML, are not taken into account simply because of the improvement of mobile devices to show standard HTML pages. The following three methods are generally used today: Rewrite the page, use an automatic generator to create the page, or try to use the same page for stationary and mobile devices. This chapter illustrates each method by adapting one page of the electronic shop software eSarine. Afterwards, the methods are compared using different parameters like the complexity of the approach or the ease of integration in existing systems.

Technological and Ethical Challenges of Online Education

2018 ◽  
pp. 194-211
Author(s):  
Lauren Haar ◽  
Simon Kaja
Keyword(s):  
Medical Education ◽  
Online Education ◽  
Best Practice ◽  
Medical Professionals ◽  
Learning Approaches ◽  
Ethical Challenges ◽  
Self Directed Learning ◽  
Education Professionals ◽  
Use Of Technology ◽  
Assessment Specialists

The impact of technology can be felt throughout the medical education continuum. From online learning environments in blended learning approaches to exclusively providing the preclinical curriculum online, there is a growing need to optimize the way that technology supports self-directed learning in the next generation of medical professionals. In this chapter, the authors address issues of best practice surrounding the development of virtual content for medical education. The information presented will be integral for medical education professionals, basic science/clinical faculty, and educational assessment specialists with an interest in the use of technology for contemporary medical education. The goal is to offer an overview of the theory and ethics behind adopting an online strategy for medical education. An emphasis is placed on developing best practices for presenting content, a comparison of blended and online-only approaches, and the ethical considerations necessary for the successful training of medical professionals online.

scholarly journals Shedding light on autistic traits in struggling learners: A blind spot in medical education

2021 ◽  
Author(s):  
Marie Giroux ◽  
Luce Pélissier-Simard
Keyword(s):  
Medical Education ◽  
Autistic Traits ◽  
Blind Spot ◽  
Autism Spectrum ◽  
Struggling Learners ◽  
Accountability Standards ◽  
Broader Phenotype ◽  
Potential Risks ◽  
Medical Competence

AbstractSome highly challenging, seemingly “unsolvable” situations that arise in medical education could be the result of autistic traits (AT) in learners. AT exist in physicians and learners, ranging from profiles compatible with DSM-5’s criteria for autism spectrum disorder (ASD) to more subtle manifestations of ASD’s “broader phenotype.” Often associated with strengths and talents, AT may nonetheless pose significant challenges for learning, teaching, and practising medicine. Since AT remain widely under-recognized and misunderstood by educators, clinicians, and affected individuals alike, they represent a blind spot in medical education. The use of a “neurodiversity lens” to examine challenging situations may help educators consider different pedagogical approaches to address those potentially stemming from AT.This paper aims to raise awareness and understanding of AT-related difficulties in struggling medical learners. To overcome the blind spot challenge and help develop this “neurodiversity lens,” we explore different angles. Beyond any diagnostic consideration, we offer a series of contextual examples, paralleled with explanatory concepts from the field of ASD. We also underline the role of context on functional impact and describe the often ill-defined pattern of challenges encountered, as well as the fertile grounds for interpersonal misunderstandings and disrespect. We propose historical, cultural, and clinical reasons likely contributing to the blind spot. Mindful of the potential risks of prejudice associated with identifying AT-related difficulties, we underline the necessity and feasibility of conciliating diversity and dignity with accountability standards for medical competence.

Development of an Instrument for Assessing the Maturity of Citizens for Consumer Health Informatics in Developing Countries: The Case of Chile, Ghana, and Kosovo

2021 ◽  
Author(s):  
Abubakari Yakubu ◽  
Fortuna Paloji ◽  
Juan Pablo Guerrero Bonnet ◽  
Thomas Wetter
Keyword(s):  
Mobile Devices ◽  
Health Informatics ◽  
Patient Activation ◽  
Theoretical Models ◽  
Consumer Health Informatics ◽  
Rank Test ◽  
Consumer Health ◽  
Middle Income ◽  
Use Of Technology ◽  
Low Middle Income Countries

Abstract Objective We aimed to develop a survey instrument to assess the maturity level of consumer health informatics (ConsHI) in low-middle income countries (LMIC). Methods We deduced items from unified theory of acceptance and use of technology (UTAUT), UTAUT2, patient activation measure (PAM), and ConsHI levels to constitute a pilot instrument. We proposed a total of 78 questions consisting of 14 demographic and 64 related maturity variables using an iterative process. We used a multistage convenient sampling approach to select 351 respondents from all three countries. Results Our results supported the earlier assertion that mobile devices and technology are standard today than ever, thus confirming that mobile devices have become an essential part of human activities. We used the Wilcoxon Signed-Rank Test (WSRT) and item response theory (IRT) to reduce the ConsHI-related items from 64 to 43. The questionnaire consisted of 10 demographic questions and 43 ConsHI relevant questions on the maturity of citizens for ConsHI in LMIC. Also, the results supported some moderators such as age and gender. Additionally, more demographic items such as marital status, educational level, and location of respondents were validated using IRT and WSRT. Conclusion We contend that this is the first composite instrument for assessing the maturity of citizens for ConsHI in LMIC. Specifically, it aggregates multiple theoretical models from information systems (UTAUT and UTAUT2) and health (PAM) and the ConsHI level.

scholarly journals The Influence of the Frequency of the Internet Use on the Behavioral Relationship Model of the Mobile Device-Based Shopping

2016 ◽  
Vol 11 (6) ◽  
pp. 32 ◽  
Author(s):  
Shwu-Ing Wu ◽  
Rou Jyun Chen
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Internet Use ◽  
Information Quality ◽  
Positive Influence ◽  
The Other ◽  
The Internet ◽  
Relationship Model ◽  
Significant Positive Influence

<p class="ArticleTitle">In recent years, the increasingly innovative and diverse mobile devices have significantly promoted the mobile device-based shopping. What factors influence this kind of shopping? Will consumers purchase things with mobile devices? These are two topics that need to be explored. Through the literature analysis and the empirical research, this study aims to analyze the quality of information, system, service and mobile devices on the mobile device-based shopping platform. Moreover, it studies the attitude of consumers towards mobile device-based shopping, their willingness to adopt the shopping method and the behavioral relationship model in the actual mobile device-based shopping as well as compares the groups of different frequencies of the Internet use in terms of the relationship model.</p>　　With the convenient sampling, this study made an investigation among some of those who had experienced shopping on such mobile devices as tablets or smart phones. The 765 retrieved valid copies of questionnaire were divided into three groups—“often”, “average” and “seldom” according to the frequency consumers undertook mobile device-based shopping and were then compared. The results showed that there were significant differences among the three groups in four relationship paths, including: 1) the information quality of the mobile device-based shopping platform has more significant positive influence on consumers’ attitude path of mobile device-based shopping in the “average” group than in the other two; 2) the service quality of the mobile device-based shopping platform has more significant positive influence on consumers’ attitude path of mobile device-based shopping in the “seldom” group than in the other two; 3) the preference for mobile device-based shopping has much significant positive influence on the behavior path of mobile device-based shopping in the “often” group. According to the research results, different groups have different behavior models. These results can serve as reference information in the decision-making of those who establish mobile device-based shopping platforms and manufacture mobile devices.

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