Personal Health and Wellness Management with Technologies

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Now showing 1 - 5 of 8
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    Towards a Reference Architecture for Female-Sensitive Drug Management
    ( 2021-01-05) Mateja, Deborah ; Bartels, Evita Alieke ; Oberste, Luis ; Herm, Lukas-Valentin ; Danelski, Alexa
    Due to various biological factors, males and females differ in their response to drug treatment. However, there is still a lack of knowledge of the effects resulting from sex-differences in the medical field, especially due to the issue of underrepresentation of females in clinical studies. Considering severe diseases that are related to the cardiovascular system, which are likely to be perilous, counteracting this lack and emphasizing the need for sex-dependent drug treatment is of high importance. Thus, this research-in-progress paper aims at strengthening the female perspective in drug management by proposing design considerations on IS regarding recommender systems in healthcare for reinforcing shared decision-making and person-centered care. The resulting artefact presented will be a reference architecture with a mobile application as the interface to patients and healthcare professionals as well as a data- driven backend to collect and process data on sex specificity in the medical treatment of cardiovascular diseases (CVD).
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    Online at Will: A Novel Protocol for Mutual Authentication in Peer-to-Peer Networks for Patient-Centered Health Care Information Systems
    ( 2021-01-05) Abdullahi, Imrana ; Dehling, Tobias ; Kluge, Felix ; Eskofier, Bjoern ; Sunyaev, Ali
    Patient-centered health care information systems (PHSs) on peer-to-peer (P2P) networks promise decentralization benefits. P2P PHSs, such as decentralized personal health records or interoperable Covid-19 proximity trackers, can enhance data sovereignty and resilience to single points of failure, but the openness of P2P networks introduces new security issues. We propose a novel, simple, and secure mutual authentication protocol that supports offline access, leverages independent and stateless encryption services, and enables patients and medical professionals to establish secure connections when using P2P PHSs. Our protocol includes a virtual smart card (software-based) feature to ease integration of authentication features of emerging national health-IT infrastructures. The security evaluation shows that our protocol resists most online and offline threats while exhibiting performance comparable to traditional, albeit less secure, password-based authentication methods. Our protocol serves as foundation for the design and implementation of P2P PHSs that will make use of P2P PHSs more secure and trustworthy.
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    Investigating the Affordances of Wellness mHealth Apps
    ( 2021-01-05) Alshawmar, Moayad ; Mombini, Haadi ; Tulu, Bengisu ; Vaghefi, Isaac
    Previous research on the effectiveness of wellness mHealth apps focused on the design and features of such apps and paid insufficient attention to how the whole relationship between the apps and users impact use. Using affordance theory, we investigated what wellness mHealth apps afford to users and why these affordances are not actualized by all users. We conducted a qualitative study, collecting data from apps’ reviews and from fifteen participants who used multiple wellness mHealth apps. Our grounded theory analysis revealed four shared affordances (promoting goals, comparing oneself to others, coaching, and nurturing) related to the use of wellness mHealth apps and three immediate concrete outcomes (habit formation, self-awareness, and goal attainment) reached after the affordances were actualized. Nonetheless, factors such as information overload, aesthetic appreciation, and users’ characteristics may impact users’ actualizations of the shared affordances and prevent some users from reaching their immediate concrete outcomes.
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    GPS Tracking in Dementia Caregiving: Social Norm, Perceived Usefulness, and Behavioral Intent to Use Technology
    ( 2021-01-05) Sun, Yao ; Kim, Hye Min ; Xu, Yusi ; Wang, Yunwen ; Kwong, Jillian ; Kim, Steffie ; Kim, Do Own ; Mclaughlin, Margaret
    Remote monitoring technology has taken a place in dementia caregiving by providing assistive tools such as tracking devices using Global Positioning Systems (GPS). Nevertheless, caregivers’ attitudes toward this technology are still inconclusive, and the factors leading up to their behavioral intent to use the technology remain unclear. Based on a survey of 202 dementia caregivers, our analysis with structural equation modeling demonstrates that care recipients’ (i.e., persons with dementia) wandering, caregivers’ concern, as well as caregivers’ smartphone usage positively predict caregivers’ behavioral intent to use GPS tracking devices. Meanwhile, social norm and perceived usefulness of technology mediate the relationship between individual attributes and behavioral intent. Theoretical and practical implications are discussed.
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    Detection of schizophrenia: A machine learning algorithm for potential early detection and prevention based on event-related potentials
    ( 2021-01-05) Janek, Frick ; Rieg, Thilo ; Buettner, Ricardo
    We show that event-related potentials can be used to detect schizophrenia with a high degree of precision. With our machine learning algorithm we achieve a balanced accuracy of 96.4 , which exceeds all results with comparable approaches. For this we use additional sensors on the left and right hemisphere in addition to the common central sensors. The experimental design when recording the data takes into account the dysfunction of the schizophrenic efference copy. Due to its serious consequences, schizophrenia is a social issue in which early detection and prevention plays a central role. In the future, machine learning could be used to support early interventions. When the first symptoms appear, potential patients could be tested for the dysfunction typical for schizophrenia. In this way, risk groups and potential patients could be adequately treated before the onset of psychosis.