5 research outputs found
Integrating Wearable Devices and Recommendation System: Towards a Next Generation Healthcare Service Delivery
Researchers have identified lifestyle diseases as a major threat to human civilization. These diseases gradually progress without giving any warning and result in a sudden health aggravation that leads to a medical emergency. As such, individuals can only avoid the life-threatening condition if they regularly monitor their health status. Health recommendation systems allow users to continuously monitor their health and deliver proper health advice to them. Also, continuous health monitoring depends on the real-time data exchange between health solution providers and users. In this regard, healthcare providers have begun to use wearable devices and recommendation systems to collect data in real time and to manage health conditions based on the generated data. However, we lack literature that has examined how individuals use wearable devices, what type of data the devices collect, and how providers use the data for delivering solutions to users. Thus, we decided to explore the available literature in this domain to understand how wearable devices can provide solutions to consumers. We also extended our focus to cover current health service delivery frameworks with the help of recommender systems. Thus, this study reviews health-monitoring services by conglomerating both wearable device and recommendation system to come up with personalized health and fitness solutions. Additionally, the paper elucidates key components of an advanced-level real-time monitoring service framework to guide future research and practice in this domain
IoT-Enhanced Public Safety in Smart Environments: A Comparative Analysis Using the Public Safety IoT Test
The present study does a comparative analysis to evaluate the efficacy of public safety measures boosted by the Internet of Things (IoT) in various smart settings. The "Public Safety IoT Test" methodology is used in the research to evaluate costs, user happiness, and safety improvement percentages. Smart Surveillance devices showed a noteworthy 35% increase in safety in metropolitan City A, while Wearable Health devices showed a surprising 40% increase in safety in rural Village D. At a cost of 10,000 in Village D, these results emphasize the potential of IoT technology to improve public safety and well-being. User satisfaction scores of 4 and 5, respectively, demonstrate the acceptance and efficacy of these devices. Policymakers and urban planners may benefit greatly from this study, which highlights the flexibility of IoT devices in a variety of smart settings and their important role in creating communities that are safer and more resilient
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Scleroderma Patients’ Commitment to Illness Management: Strategies and Learning
The management of chronic diseases is described as the “health challenge of the 21st century” by the World Health Organization. Patients’ active role in managing their illness is considered, by many, as central in addressing this challenge. This study explored and described, through scleroderma patients’ own perceptions and understanding, their commitment to illness management, including how they were involved in dealing with their illness and how they learned to do so. The role of social interactions, in particular, support groups, in this process was also investigated.
Using a mixed-methods approach, 201 patients were surveyed, and 25 in-depth interviews were conducted. The quantitative results of this study indicated that 64% of patients were committed in managing their illness by being highly active in dealing with their illness. An increase in activation was associated with longer disease duration in the first decade of illness. Additionally, the patients with high social support were more active. The qualitative findings showed patients engaged with various types of work to mitigate the physical, emotional, psychological, relational, and financial impact of the illness. In doing so, patients employed four problem-solving strategies that they had learned by confronting problems in daily lives. These strategies were at the heart of their incidental and tacit learning of how to manage their illness.
Only 32% of patients participated in support groups. Support group participants showed higher activation and considered these groups as providing support, learning opportunities, and venues to help other patients.
This study indicates that patients’ commitment to management of their illness, far from being a static characteristic of patients, is a spectrum where patients are engaged in a process of complex negotiation with multiple needs of their illness, in tandem with their illness trajectory. Illness uncertainty, learning, and strategies to solve problems in managing the illness frame patients’ commitment and engagement. A preliminary model delineating these elements is provided
Clinical Effectiveness of Tailored E2coaching in Reducing Cardiovascular Risk Assessed Using Cardiovascular Imaging and Functional Assessment 2 A Primary Prevention Trial in Moderate to High Risk Individuals
PhDCardiovascular disease remains one of the leading causes of mortality globally. Innovative techniques are required to tackle its anticipated rise due to rising obesity, diabetes and an ageing population. Personalised electronic coaching (eb coaching) using the Internet and emails may help motivate healthier living and be of clinical benefit in complementing current programmes for cardiovascular risk reduction.
I investigated whether personalised ebcoaching on top of SOC was more clinically effective than SOC alone, in reducing cardiovascular risk in asymptomatic individuals with high cardiovascular risk. I lead a randomised controlled trial of 402 participants using robust surrogate markers to identify change over 6 months. I assessed the feasibility of using cardiovascular magnetic resonance surrogate markers to guide their use in future studies of lifestyle interventions.
I performed systematic reviews to identify 1) similarities and differences among leading primary prevention guidelines that address cardiovascular screening and risk assessment and 2) guideline recommendations on lifestyle advice and interventions to identify how ebcoaching could be used and what advice to incorporate in ebcoaching platforms.
I found modest but statistically significant improvements in both ebcoaching and SOC groups to a similar level. Personalised ebcoaching did not show additional benefit in a highbrisk primary prevention cohort. It is feasible to use cardiovascular surrogate markers derived from cardiovascular magnetic resonance in lifestyle interventions studies. However, further studies correlating change in these markers with longbterm outcomes are required.
Considerable discrepancies exist in the guidelines on risk on cardiovascular screening and risk assessment, with no consensus on optimum screening strategies or classification of high risk thus affecting treatment threshold. Guidelines did highlight the importance of lifestyle interventions in primary prevention and generally provided similar advice.
Ebcoaching should not be incorporated into current prevention programmes for high risk populations unless the tools are improved and effectiveness is proven
Kamuda BĂĽyĂĽk Veri: Alglar, Beklentiler ve Uygulamalar
3rd International Conference on Computer Science and Engineering (UBMK) (2018: Sarajevo, Bosnia & Herceg)Big Data is one of the most commonly encountered buzzwords among IT professionals nowadays. Technological advancements in data acquisition, storage, telecommunications, embedded systems and sensor technologies resulted in huge inflows of streaming data coming from variety of sources, ranging from financial streaming data to social media tweets, or wearable health gadgets to drone flight logs. The processing and analysis of such data is a difficult task, but as appointed by many IT experts, it is crucial to have a Big Data Implementation plan in today's challenging industry standards. In this study, we performed a survey among IT professionals working in the public sector and tried to address some of their implementation issues and their perception of Big Data today and their expectations about how the industry will evolve. The results indicate that most of the public sector professionals are aware of the current Big Data requirements, embrace the Big Data challenge and are optimistic about the future