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ItemAmbulatory EMR Adoption in the USA: A Longitudinal Study( 2018-01-03)Based on a longitudinal national survey, this study examines the adoption of electronic medical records (EMR) by clinics in the USA between 2004 and 2014. A trend analysis suggests that government incentive, technological breakthrough and patient-centered care push the diffusion forward. The interaction among policy, technology and practice is likely to affect the decision-making of practitioners regarding EMR adoption. This study identifies clinic-, patient- and visit-related variables from the survey, and uses them to predict EMR adoption intention and usage in each year. The explanatory power of different variables changed over time in different ways, revealing how policy, technology, and practice influence EMR adoption together. The findings yield implications for the strategies and best practices of health IT diffusion.
ItemCritical Issues in Implementing and Adopting National e-Health Solutions: Lessons from Australia’s MyHealth Record( 2018-01-03)Globally, healthcare reforms are being initiated to address the tremendous challenges facing healthcare systems. Without exception, these reforms include the implementation of a variety of e-health solutions. Such e-health solutions are complex and have far-reaching implications. We argue that while these implementations and adoption of e-health solutions are necessary, it is essential that an appropriate lens of analysis should be used to maximise and sustain the benefits of IS/IT (information systems/information technology) in healthcare delivery. Hence, in this paper, we proffer Actor-Network Theory (ANT) as an appropriate lens to evaluate these various e-health solutions and illustrate in the context of MyHealth Record, the chosen e-health solution for Australia. The results of this study reveal that the implementation of eHealth is a complex process and approaching it nationally, serves to make it significantly more challenging with enormous barriers.
ItemImage Recognition of Disease-Carrying Insects: A System for Combating Infectious Diseases Using Image Classification Techniques and Citizen Science( 2018-01-03)We propose a system that assists infectious disease experts in the rapid identification of potential outbreaks resulting from arboviruses (mosquito, ticks, and other arthropod-borne viruses). The proposed system currently identifies mosquito larvae in images received from citizen scientists. Mosquito-borne viruses, such as the recent outbreak of Zika virus, can have devastating consequences in affected communities. We describe the first implemented prototype of our system, which includes modules for image collection, training of image classifiers, specimen recognition, and expert validation and analytics. The results of the recognition of specimens in images provided by citizen scientists can be used to generate visualizations of geographical regions of interest where the threat of an arbovirus may be imminent. Our system uses state-of-the-art image classification algorithms and a combination of mobile and desktop applications to ensure that crucial information is shared appropriately and accordingly among its users.