Technology Mediated Collaborations in Healthcare and Wellness Management

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    Using Activity Theory Successfully in Healthcare: A Systematic Review of the Theory's Key Challenges to Date
    ( 2019-01-08) Wiser, Fabian ; Durst, Carolin ; Wickramasinghe, Nilmini
    Collaborative tools in organizations become more and more apparent. These tools are being realized by novel information technology. Particularly, healthcare is a fast-evolving industry in terms of information system innovation. As the evolution is fast, and new systems are always error-prone due to socio-technical complexity, new analysis tools and methods for quality assurance must be adapted. In earlier research, we proposed Activity Theory as a fitting analysis tool due to the reason that it has advantages over other HCI theories, such as Actor-Network Theory or Distributed Cognition. However, several limitations became apparent during our studies. In the present work, we are conducting a systematic literature review of activity theoretical limitations and challenges to provide design guidelines for an improved version of Activity Theory. These implications can help to develop more advanced Activity Theory concepts and contributions; which in turn can improve the analysis results of socio-technical systems in healthcare.
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    Enabling High Value Care with A Point of Care Solution: the Australian Experience
    ( 2019-01-08) Wickramasinghe, Nilmini
    Adopting patient-centric technology solutions is considered a critical enabler to enhance superior, high value healthcare delivery. Evidence from the literature underscores the simultaneous benefits of such an approach for enhancing the quality of care, increasing value and reducing associated costs. This study contributes to the current void in the literature by providing data from an implementation of a patient-centric solution that serves to deliver and support value based-care. Specifically, the presented study highlights how a point of care system can deliver high value patient-centric care across a healthcare group in Australia. The results from this qualitative study show that the examined point of care system supports patient-centric care by facilitating a high level of patient engagement and supporting key safety and quality care outcomes, as well as building a cultural shift towards patient-centric care as part of standard practice. The study has far reaching implications for both theory and practice.
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    Creating Better Online Solutions For Healthcare Providers With KM: The Case Of Allergy Care
    ( 2019-01-08) Wickramasinghe, Nilmini
    Today, in healthcare many online solutions are being designed and developed; however many of these fall short of delivering a superior care experience. The following investigates the benefits of incorporating a knowledge management (KM) perspective when designing and developing online solutions. Specifically, the paper focusses on the design and development of an online solution in the context of paediatric allergies, their initial diagnosis and ongoing follow up monitoring and management. The solution is guided by KM principles, and comprises a central knowledge base for allergy patients. This knowledge base is designed to be accessed by both healthcare providers and patients and their families to save reviewing time and enhance the flow of germane medical information/knowledge among allergy care providers.
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    Discovering Patient Portal Features Critical to User Satisfaction: A Systematic Analysis
    ( 2019-01-08) Wahbeh, Abdullah ; Al-Ramahi, Mohammad ; Noteboom, Cherie ; Nasralah, Tareq
    Patient portals are consumer-centric tools that can strengthen consumers’ ability to actively manage their own health and healthcare. The incorporation of patient portals provides the promise to deliver quality, low costs services to the patient population. However, patient portal adoption in large part is based on patient satisfaction. In pertaining literature, little is known about which portal features are associated with higher patient satisfaction. In this article, we extend existing literature by discovering features related to patient portal user satisfaction based on a systematic analysis of user feedback. Using MyChart, a mobile patient portal, we use text mining, N-Gram-based approach, to discover satisfaction features from online user reviews. We then demonstrate the performance of the features selected in predicting user satisfaction using different classifiers. Overall, the results extend existing research and highlight opportunities to improve and to enhance the design of current basic portals to improve users’ satisfaction and adherence.
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