16 research outputs found

    Fostering Insight and Collaboration in Long-Term Healthcare through Collection and Visualization of Qualitative Healthcare Data

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    The Care and Condition Monitor (CCM) is a tablet-based, networked visual analytics tool for collecting, structuring and analyzing informal and qualitative healthcare data. Building off research into application usability and best practices for communicating complex information, CCM illustrates how visual analytics tools coupled with social communication within teams of caregivers enables capturing of longitudinal informal data that would otherwise go unrecorded. This expanded scope of information can support medical decision making by making it possible to analyze informal and qualitative health care data,creating a multi-dimensional holistic picture of a person‟s health care and condition over time

    Visualization of residents in long-term care centres through mobile natural user interfaces (NUI)

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    In this poster, we present a set of NUI designs towards creating a social media platform for caregivers, which integrates automated analysis methods and natural interaction techniques to enable caregivers to capture, store, visualize, and analyze both formal data and informal information. Our research will evaluate whether NUI’s make a difference in supporting long-term caregivers

    Identification of Bacteria and the Effect on Compressive Strength of Concrete

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    This paper presents the species of bacteria used in this study as well as the effect of the bacteria on compressive strength of bioconcrete. Bioconcrete is not only more environmentally friendly but it is easy to procure. The objective of this research is to identify the ureolytic bacteria and sulphate reduction bacteria that have been isolated and further use the bacteria in concrete to determine the effect of bacteria on compressive strength. Identification of bacteria is conducted through Polymerase chain reaction (PCR) method and DNA sequencing. The DNA of the bacteria was run through BLAST algorithm to determine the bacterial species.The bacteria were added into the concrete mix as a partial replacement of water. 3% of water is replaced by ureolytic bacteria and 5% of water is replaced by sulphate reduction bacteria. After running BLAST algorithm the bacteria were identified as Enterococcus faecalis (ureolytic bacteria) and Bacillus sp (sulphate reduction bacteria). The result of the compressive strength for control is 36.0 Mpa. Partial replacement of 3% water by ureolytic bacteria has strength of 38.2Mpa while partial replacement of 5% of water by sulphate reduction bacteria has strength of 42.5Mpa. The significant increase of compressive strength with the addition of bacteria shows that bacteria play a significant role in the improvement of compressive strength

    Workshop on designing the future of mobile healthcare support

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    This workshop aims to discuss and develop ideas on how healthcare services, mobile technologies, and visual analytics techniques can be leveraged and contribute to new ways of mobile healthcare supportive system designs. Designing contemporary mobile support systems for healthcare support requires a clear understanding of information requirements, behaviors and basic needs of users. Design must take into account the challenges of human-device interactions in the healthcare environment; the extension of the care environment beyond the institutional setting and the engagement of patients, facility residents and families in an extended circle of care; and issues of formal and informal data sharing and privacy. This workshop invites researchers and designers working in relevant fields to discuss, compare, and demonstrate effective design approaches that can be adopted to improve the designs of mobile support systems for interactive visualization in healthcare
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