10,480 research outputs found

    Applying hierarchical task analysis to medication administration errors

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    Medication use in hospitals is a complex process and is dependent on the successful interaction of health professionals functioning within different disciplines. Errors can occur at any one of the five main stages of prescribing, documenting, dispensing or preparation, administering and monitoring. The responsibility for the error is often placed on the nurse, as she or he is the last person in the drug administration chain whilst more pressing underlying causal factors remain unresolved. This paper demonstrates how hierarchical task analysis can be used to model drug administration and then uses the systematic human error reduction and prediction approach to predict which errors are likely to occur. The paper also puts forward design solutions to mitigate these errors

    Technology Target Studies: Technology Solutions to Make Patient Care Safer and More Efficient

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    Presents findings on technologies that could enhance care delivery, including patient records and medication processes; features and functionality nurses require, including tracking, interoperability, and hand-held capability; and best practices

    What makes people bond?: A study on social interactions and common life points on Facebook

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    In this paper we aim at understanding if and how, by analysing people's profile and historical data (such as data available on Facebook profiles and interactions, or collected explicitly) we can motivate two persons to interact and eventually create long-term bonds. We do this by exploring the relationship between connectedness, social interactions and common life points on Facebook. The results are of particular importance for the development of technology that aims at reducing social isolation for people with less chances to interact, such as older adults

    Fathom Magazine, v. 8, no. 2, Summer 1996 22pp :Florida sharks

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    CONTENTS. Protecting the Predators, by Jay Humphrey. Economics Create Responsible Shark Management, by Jay Humphreys. The Healing Power of Sharks, by Kelly Marie Sokol. Shark! by Jay Humphreys. Florida's Sharks. Entering the Sharks' Environment, by Susan Grantham. Regulations Affect the Commercial Shark Fishing Industry, by Susan Grantham. Fishing for Information, by Susan Grantham. Tagging, not Bagging, by Robert Hueter, Mote Marine Laboratory. Shark Sites of Interest on the Internet

    Radio Frequency Identification Technology: Applications, Technical Challenges and Strategies

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    Purpose - The purpose of this paper is to discuss the technology behind RFID systems, identify the applications of RFID in various industries, and discuss the technical challenges of RFID implementation and the corresponding strategies to overcome those challenges. Design/methodology/approach - Comprehensive literature review and integration of the findings from literature. Findings - Technical challenges of RFID implementation include tag cost, standards, tag and reader selection, data management, systems integration and security. The corresponding solution is suggested for each challenge. Research limitations/implications - A survey type research is needed to validate the results. Practical implications - This research offers useful technical guidance for companies which plan to implement RFID and we expect it to provide the motivation for much future research in this area. Originality/value - As the infancy of RFID applications, few researches have existed to address the technical issues of RFID implementation. Our research filled this gap

    Understanding Individual Experiences of Chronic Illness with Semantic Space Models of Electronic Discussions

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    Electronic discussion groups provide a convenient forum for individuals to share their experiences of chronic illness. The language use of individual participants, and the way their language shifts over time, may provide implicit indications of important shifts in sense-of-self. This paper relates experience with application of the hyperspace analogue to language (HAL) model for automatic construction of a dimensional model from a corpus of text. HAL is applied to 17 months of discussion on a closed list of 20 women coping with chronic illness. The discussion group was moderated for a focus the phenomenon of "Transition' - how people can learn to incorporate the consequences of illness into their lives. The current phase of research focuses on identification of clusters of words that can represent key aspects of Transition. The HAL models for two participants have been analyzed by experts in Transition to form candidate clusters. These clusters are then used as a basis for contrasting the language usage of an individual participant over time as compared to the entire corpus. We have not yet found a reliable basis for identifying transitions in an individual based on their entries into a discussion forum, although the clusters may have some inherent value for introspection on individual experiences and Transition in general. We report challenges for interpretation of the HAL model related to the correlation of dimensions and the impact of group dynamics
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