International journal of medical informatics
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Review
Bring-your-own-device in medical schools and healthcare facilities: A review of the literature.
Enabling personal mobile device use through a bring-your-own device (BYOD) policy can potentially save significant costs for medical schools and healthcare facilities, as they would not always have to acquire facility-owned devices. The BYOD policy is also perceived as a driver for balancing user needs for convenience with institutional needs for security. However, there seems to be a paucity in the literature on BYOD policy development, policy evaluation, and evaluation of mobile device implementation projects. ⋯ Rather than an approach of 'chasing' issues with interventions, 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 medical schools and healthcare facilities.
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Social media allows for instant access to, and dissemination of, information around the globe. Access to social media in low- and middle-income countries has increased exponentially in recent years due to technological advances. Despite this growth, the use of social media in low- and middle-income countries is less well-researched than in high-income countries. ⋯ Social media has the ability to facilitate disease surveillance, mass communication, health education, knowledge translation, and collaboration amongst health providers in low- and middle-income countries. Misinformation or poorly communicated information can contribute to negative health behaviours and adverse health outcomes amongst consumers, as well as hysteria and chaos. Organizations using social media should provide accurate and readable information. Promotion of credible social media sites by governments, health care professionals and researchers, as well as education on the appropriate use of social media, could help to lessen the effect of misinformation. This is a nascent body of literature and future research should investigate the relative effectiveness of various platforms for different users, other potential uses, and pursue a broader geographical focus.
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The application of Big Data analytics in healthcare has immense potential for improving the quality of care, reducing waste and error, and reducing the cost of care. ⋯ This review study unveils that there is a paucity of information on evidence of real-world use of Big Data analytics in healthcare. This is because, the usability studies have considered only qualitative approach which describes potential benefits but does not take into account the quantitative study. Also, majority of the studies were from developed countries which brings out the need for promotion of research on Healthcare Big Data analytics in developing countries.
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Vital signs monitoring is used to identify deteriorating patients in hospital. The most common tool for vital signs monitoring is an early warning score, although emerging technologies allow for remote, continuous patient monitoring. A number of reviews have examined the impact of continuous monitoring on patient outcomes, but little is known about the patient experience. This study aims to discover what patients think of monitoring in hospital, with a particular emphasis on intermittent early warning scores versus remote continuous monitoring, in order to inform future implementations of continuous monitoring technology. ⋯ Early warning score systems are widely used to facilitate detection of the deteriorating patient. Continuous monitoring technologies may provide added reassurance. However, patients value personal contact with their healthcare professionals and remote monitoring should not replace this. We suggest that remote monitoring is best introduced in a phased manner, and initially as an adjunct to usual care, with careful consideration of the patient experience throughout.
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According to the World Health Organization (WHO), over 130 million people are in constant need of humanitarian assistance due to natural disasters, disease outbreaks, and conflicts, among other factors. These health crises can compromise the resilience of healthcare systems, which are essential for achieving the health objectives of the sustainable development goals (SDGs) of the United Nations (UN). During a humanitarian health crisis, rapid and informed decision making is required. This is often challenging due to information scarcity, limited resources, and strict time constraints. Moreover, the traditional approach to digital health development, which involves a substantial requirement analysis, a feasibility study, and deployment of technology, is ill-suited for many crisis contexts. The emergence of Web 2.0 technologies and social media platforms in the past decade, such as Twitter, has created a new paradigm of massive information and misinformation, in which new technologies need to be developed to aid rapid decision making during humanitarian health crises. ⋯ The feasibility of using AI to extract valuable information during a humanitarian health crisis is proven in many cases. There is a lack of research on how to integrate the use of AI into the work-flow and large-scale deployments of humanitarian aid during a health crisis.