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.

Bring-your-own-device in medical schools and healthcare facilities: A review of the literature (Preprint)

2018 ◽  
Author(s):  
Khutsafalo Kadimo ◽  
Masego B. Kebaetse ◽  
Dineo Ketshogileng ◽  
Lovie Edwin Seru ◽  
Kagiso B. Sebina ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Data Security ◽  
Policy Development ◽  
Medical Schools ◽  
Bring Your Own Device ◽  
Patient Privacy ◽  
Device Management ◽  
Healthcare Facilities ◽  
Hand Search ◽  
Information Technology Education

BACKGROUND The ‘culture’ or ‘habit’ of using personal mobile devices for work and learning is expected to continue growing with advances in information and communication and network technologies. Even with the benefits of users bringing their personal devices to working and learning spaces, the fluid relationship and user movement between medical schools and healthcare facilities can pose challenges for data security, particularly patient information security. The bring-your-own device (BYOD) policy is perceived as a driver for balancing user needs for convenience and institutional needs for security. OBJECTIVE This review sought to explore the literature to identify BYOD policy components (issues, interventions, and guidelines) that could potentially inform BYOD policy development and implementation in healthcare facilities and medical schools. METHODS A literature search on PubMed, Web of Science, and Ebscohost (Academic Search Premier, ERIC, CINAHL, and MEDLINE) was conducted using the following search terms and their synonyms: healthcare facilities, mobile devices, BYOD, privacy and confidentiality, and health records. We developed a review matrix to capture the main aspects of each article and coded the matrix for emerging themes. The database and hand search yielded 1 594 articles, 14 of which were deemed as meeting the inclusion criteria. RESULTS Themes emerging from the study include: device management, data security, medical applications, information technology, education and/or curriculum, policy, and guidelines. The guidelines theme seems to provide a direction for BYOD policy development and implementation. CONCLUSIONS A more feasible approach towards achieving a safe mobile device use environment is through the development of comprehensive BYOD policies that would balance users’ need for convenience with organizational security and patient privacy. The paucity in peer-reviewed literature calls for robust research that uses socio-technical approaches to development and evaluation of BYOD policies in healthcare facilities and medical schools. CLINICALTRIAL none

Understanding the actual use of mobile devices in private clubs in the US

2014 ◽  
Vol 5 (3) ◽  
pp. 278-298 ◽  
Author(s):  
Cristian Morosan ◽  
Agnes DeFranco
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
User Behavior ◽  
Content Type ◽  
Face To Face ◽  
The Us ◽  
Actual Use ◽  
Device User ◽  
The Usa ◽  
Device Use

Purpose – This paper aims to identify systematic ways of linking club members’ behavioral and demographic characteristics to their use of mobile devices in clubs. While the traditional private club experience is characterized by intensive personalization and face-to-face interactions, clubs are increasingly deploying information technology (IT) tools to optimize some of their internal processes and offer a better value proposition to their members. Design/methodology/approach – Based on data from 737 actual club members from the USA, this research used a series of logistic regressions to reveal the manner in which a series of behavioral and demographic variables can be used to predict the likelihood of use of mobile devices in clubs for specific club-related tasks. Findings – This research revealed that there are differences between the two main types of clubs (i.e. golf/country and city/athletic), as well as differences among club members residing in different regions of the USA in the manner in which members use mobile devices for club-related tasks. Research limitations/implications – This research offers a number of notable theoretical contributions. This research uses actual mobile device use data from actual club members in the USA. In addition, this research offers a comprehensive operationalization of the actual mobile use behaviors in clubs, and offers a methodological blueprint for predicting mobile device user behavior using easily collectable variables. Practical implications – This research provides specific suggestions to pinpoint the mobile technology deployment in clubs according to behavioral and demographic profile criteria. Social implications – This research could lead to feasible segmentation procedures and explicates the increasing role of mobile devices within the contemporary society. Originality/value – This research addresses a novel research topic in an industry characterized by a grave lack of research on IT.

scholarly journals The association of mobile device use of electronic health record with the wellbeing of nurses: cross-sectional survey study (Preprint)

2021 ◽  
Author(s):  
Tarja Heponiemi ◽  
Anu Kaihlanen ◽  
Kia Gluschkoff ◽  
Kaija Saranto ◽  
Sari Nissinen ◽  
...  
Keyword(s):  
Health Care ◽  
Mobile Devices ◽  
Mobile Device ◽  
Time Pressure ◽  
Ease Of Use ◽  
Survey Study ◽  
Technical Quality ◽  
Cross Sectional ◽  
Low Levels ◽  
Device Use

BACKGROUND Mobile devices such as tablets and smartphones are increasingly used in health care in many developed countries. Nurses form the largest group in health care that uses electronic health records (EHRs) and their mobile versions. Mobile devices are suggested to promote nurses’ workflow, constant updating of patient information and improve the communication within the health care team. However, little is known about their effect on nurses’ wellbeing. OBJECTIVE The present study aimed to examine the association of mobile device use of the EHR with nurses’ perceived time pressure, stress related to information systems (SRIS) and self-rated stress. Moreover, we examined whether mobile device use modifies the associations of EHR usability (ease of use and technical quality), experience in using EHRs and number of systems in daily use with these wellbeing indicators. METHODS The present study was a cross-sectional population-based survey study among 3,610 Finnish registered nurses gathered in 2020. The associations were examined using analyses of covariance and logistic regression adjusted for age, gender and employment sector (hospital, primary care, social service and other). RESULTS Those who used mobile version of their EHR had higher levels of time pressure ( F(1)= 14.96, p < .001) and SRIS ( F(1)= 6.11, p = .01) compared to those who did not use mobile versions. Moreover, the interactions of mobile device use with experience in using EHRs (F(1) = 14.93, p < .001), ease of use (F(1) = 10.16, p = .001) and technical quality (F(1) = 6.45, p = .01) were significant for SRIS. Inexperience in using EHRs, low levels of ease of use and technical quality were associated with higher SRIS and this association was more pronounced among those who used mobile devices. That is, the highest levels of SRIS were perceived among those who used mobile devices and were inexperienced EHR users, perceived low levels of ease of use or low levels of technical quality of their EHR. CONCLUSIONS According to our results it seems that at the moment mobile device use is not beneficial for the nurses’ wellbeing. In addition, mobile device use seems to intensify the negative effects of usability problems of the EHRs. Especially inexperienced users of EHRs seem be at disadvantage when using mobile devices. Thus, we suggest that EHRs and their mobile versions should be improved in a manner that they would be easier to use and would better support the nurses’ workflow. For example, improvements to problems related to small display, user interface and difficult data entry of mobile versions might be useful. Moreover, more training related to EHRs, their mobile versions and workflow related to these should be provided to nurses.

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.

An Assessment Study of Quality Model for Medical Schools in Mexico

2021 ◽  
pp. 460-495
Author(s):  
Silvia Lizett Olivares Olivares ◽  
Alejandra Garza Cruz ◽  
Mildred Vanessa López Cabrera ◽  
Alex Iván Suárez Regalado ◽  
Jorge Eugenio Valdez García
Keyword(s):  
Medical Education ◽  
Healthcare Delivery ◽  
Evaluation Process ◽  
Medical Schools ◽  
Quality Model ◽  
Assessment Study ◽  
Strategic Processes ◽  
Descriptive Approach ◽  
Quality Issues

Excellence in healthcare delivery is only possible by addressing the quality issues in medical education. The authors in this paper assess the development of medical schools in Mexico considering a proposed Quality Model for Medical Schools (QMMS) having five levels of the Incremental Quality Model (IQM). An exploratory descriptive approach was applied in this study wherein 46 authorities from medical schools self-assessed their processes (strategic, core, support and evaluation) included on the QMMS to determine their development in the five levels of the IQM i.e. Start, Development, Standardization, Innovation and Sustainability. The results of the study show the average were: 3.09 strategic processes, 2.96 core processes, 3.19 support processes and 3.00 in evaluation process. The overall mean obtained was 3.07 which correspond to Standardization level. The authors consider that the proposed quality model may serve as a guide to improve their performance to advance to innovation and sustainability.

Bring your own device to work: How serious is the risk?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fenio Annansingh
Keyword(s):  
Organizational Performance ◽  
Mobile Devices ◽  
Regulatory Compliance ◽  
Cyber Attacks ◽  
Security And Privacy ◽  
Bring Your Own Device ◽  
Security Risks ◽  
Content Type ◽  
Knowledge Leakage ◽  
Policies And Practices

Purpose Currently, one of the most significant challenges organizations face is that corporate data is being delivered to mobile devices that are not managed by the information technology department. This has security implications regarding knowledge leakage, data theft, and regulatory compliance. With these unmanaged devices, companies have less control and visibility, and fewer mitigation options when protecting against the risks of cyber-attacks. Therefore, the purpose of this study is to investigate how millennials' use of personal mobile devices for work contributes to increased exposure to cyber-attacks and, consequently, security and knowledge leakage risks. Design/methodology/approach This research used a mixed-method approach by using survey questionnaires to elicit the views of millennials regarding the cybersecurity risks associated with bring your own device policies and practices. Interviews were done with security personnel. Data analysis consisted of descriptive analysis and open coding. Findings The results indicate that millennials expect to have ready access to technology and social media at all times, irrespective of security and privacy concerns. Companies also need to improve and enforce bring your own device policies and practices to mitigate against knowledge leakage and security risks. Millennials increasingly see the use of personal devices as a right and not a convenience. They are expecting security measures to be more seamless within the full user experience. Originality/value This paper can help organizations and millennials to understand the security risks entering the workforce if the threats of using privately owned devices on the job are ignored and to improve organizational performance.

Mobile device use at festivals: opportunities for value creation

2016 ◽  
Vol 7 (3) ◽  
pp. 201-218 ◽  
Author(s):  
Christine M. Van Winkle ◽  
Amanda Cairns ◽  
Kelly J. MacKay ◽  
Elizabeth A. Halpenny
Keyword(s):  
Mobile Device ◽  
Value Creation ◽  
Design Methodology ◽  
Research Question ◽  
Structured Interviews ◽  
Content Type ◽  
Comprehensive Examination ◽  
Human Capability ◽  
Device Use ◽  
Practical Implications

Purpose The purpose of this paper is to understand mobile device (MD) use in a festival context. Festivals offer a range of opportunities and activities to use a MD making this context ideal for understanding digital experiences during leisure. The guiding research question asked how do festival attendees use MDs at festivals. The Typology of Human Capability (THC) provided a framework to enhance the understanding of digital experiences at festivals. Design/methodology/approach This research involved six festival case studies where semi-structured interviews were conducted with attendees on-site. Interview questions focused on how festival attendees used MDs during the festival. Data were analyzed using directed content analysis guided by the THC. Findings On-site interviews with 168 attendees revealed that data support the THC dimensions and constructs (sensing, linking, organizing and performing). This typology advances the understanding of the range of digital customer experiences currently available at festivals. Research limitations/implications The addition of context to the THC is recommended to enhance its utility in application. As a limited number of festivals were included, the specific findings may not apply to all festivals but the implications are relevant to a range of festivals. Practical implications Operational definitions of the THC constructs within the festival setting were identified and provide opportunities for developing digital experience offerings. Originality/value This study provided the first comprehensive examination of MD use in festival contexts and in so doing offered data in support of Korn and Pine’s (2011) THC. The findings reveal opportunities for modifying the THC to increase its applicability in a range of settings.

BYOD Policies as a Negotiable Control Lever . . . or Not

2018 ◽  
Author(s):  
Keri K. Stephens
Keyword(s):  
Human Resources ◽  
Mobile Device ◽  
Labor Law ◽  
Consumer Products ◽  
Work Hours ◽  
Bring Your Own Device ◽  
Ongoing Debate ◽  
Global Challenges ◽  
Device Use ◽  
Control Lever

Enterprise consumerization describes how technologies purchased by “enterprises” (i.e., organizations or companies) became consumer products. Mobile devices fall into this category because, as they became more affordable, individuals purchased them and brought them to work. As this trend proliferated, organizations had to protect their proprietary data, but their employees were clamoring for access to Wi-Fi. Their response: create bring-your-own-device-to-work (BYOD) policies. This chapter discusses human resources and global challenges surrounding BYOD policies. There are labor-law concerns at play, as well as national declarations that restrict mobile-device use outside of work hours. Furthermore, there’s still ongoing debate concerning who should be “allowed” to participate in BYOD. Readers are invited to consider that these policies have introduced a form of free control: individuals have flexibility in choosing their devices, but that freedom is also how people voluntarily participate in being controlled by organizations.

scholarly journals A Security Monitoring Framework for Mobile Devices

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1197 ◽  
Author(s):  
António Lima ◽  
Luis Rosa ◽  
Tiago Cruz ◽  
Paulo Simões
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Lessons Learned ◽  
Bring Your Own Device ◽  
Reference Architecture ◽  
Proof Of Concept ◽  
Security Monitoring ◽  
Detection Systems ◽  
Management Policies ◽  
Computing Platforms

Quite often, organizations are confronted with the burden of managing mobile device assets, requiring control over installed applications, security, usage profiles or customization options. From this perspective, the emergence of the Bring Your Own Device (BYOD) trend has aggravated the situation, making it difficult to achieve an adequate balance between corporate regulations, freedom of usage and device heterogeneity. Moreover, device and information protection on mobile ecosystems are quite different from securing other device assets such as laptops or desktops, due to their specific characteristics and limitations—quite often, the resource overhead associated with specific security mechanisms is more important for mobile devices than conventional computing platforms, as the former frequently have comparatively less computing capabilities and more strict power management policies. This paper presents an intrusion and anomaly detection framework specifically designed for managed mobile device ecosystems, that is able to integrate into mobile device and management frameworks for complementing conventional intrusion detection systems. In addition to presenting the reference architecture for the proposed framework, several implementation aspects are also analyzed, based on the lessons learned from developing a proof-of-concept prototype that was used for validation purposes.

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