Personal Health and Wellness Management with Technologies
Permanent URI for this collection
Browse
Recent Submissions
1 - 8 of 8
-
ItemTowards a Reference Architecture for Female-Sensitive Drug Management( 2021-01-05)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).
-
ItemOnline at Will: A Novel Protocol for Mutual Authentication in Peer-to-Peer Networks for Patient-Centered Health Care Information Systems( 2021-01-05)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.
-
ItemInvestigating the Affordances of Wellness mHealth Apps( 2021-01-05)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.
-
ItemGPS Tracking in Dementia Caregiving: Social Norm, Perceived Usefulness, and Behavioral Intent to Use Technology( 2021-01-05)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.
-
ItemDetection of schizophrenia: A machine learning algorithm for potential early detection and prevention based on event-related potentials( 2021-01-05)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.
-
ItemDesign and Development of a Diabetes Self-Management Platform: A Case for Responsible Information System Development( 2021-01-05)Diabetes Mellitus a prevalent chronic disease that affects people from all genders and ages, continues to grow exponentially with predictions of nearly 578 million people affected by 2030. Self-management, known to be an essential aspect of any care program can help patients with diabetics to control blood glucose and thereby reduce the impact and likely complications. However, self-management to date has included the development of digital health solutions have poor sustained uptake. This is primarily since such digital solutions have a poor fit with patient and clinician needs. In this paper we propose a digital platform for supporting patients with diabetes. The proposed platform is a work-in-progress research and has been co-designed and co-developed (jointly with patients and clinicians) based on design science principles and includes key aspects of task-technology fit information system theory for further evaluation.
-
ItemA Recommender System for Healthy Food Choices: Building a Hybrid Model for Recipe Recommendations using Big Data Sets( 2021-01-05)Advances in Big Data analytics and machine learning have offered intangible benefits across many areas of one’s health. One such area is a move towards healthier lifestyle choices such as one’s diet. Recommender systems apply techniques that can filter information and narrow that information down based on user preferences or user needs and help users choose what information is relevant. Commonly adopted across e-commerce sites, social networking and entertainment industries, recommender systems can also support nutrition-based health management, offering individuals more food options, not only based on one’s preferred tastes but also on one’s dietary needs and restrictions. This research presents the design, implementation and evaluation of three recommender systems using content-based, collaborative filtering and hybrid recommendation models within the nutrition domain.
-
Item