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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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.
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The United Nations' Sustainable Development Goal #3.8 targets 'access to quality essential healthcare services'. Clinical practice guidelines are an important tool for ensuring quality of clinical care, but many challenges prevent their use in low-resource settings. Monitoring the use of guidelines relies on cumbersome clinical audits of paper records, and electronic systems face financial and other limitations. Here we describe a unique approach to generating digital data from paper using guideline-based templates, rubber stamps and mobile phones. ⋯ The use of templates improves paper-based documentation of patient care, a first step towards improving the quality of care. Rubber stamps provide a simple and low-cost method to print templates on demand. In combination with ubiquitously available mobile phones, information entered on paper can be easily and rapidly digitized. This 'frugal innovation' in m-Health can empower small, private sector facilities, where large numbers of urban patients seek healthcare, to generate digital data on routine outpatient care. These data can form the basis for evidence-based quality improvement efforts at large scale, and help deliver on the SDG promise of quality essential healthcare services for all.
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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.