On the Deployment of Healthcare Applications over Fog Computing Infrastructure

Fog computing is considered as the most promising enhancement of the traditional cloud computing paradigm in order to handle potential issues introduced by the emerging Interned of Things (IoT) framework at the network edge. The heterogeneous nature, the extensive distribution and the hefty number of deployed IoT nodes will disrupt existing functional models, creating confusion. However, IoT will facilitate the rise of new applications, with automated healthcare monitoring platforms being amongst them. This paper presents the pillars of design for such applications, along with the evaluation of a working prototype that collects ECG traces from a tailor-made device and utilizes the patient's smartphone as a Fog gateway for securely sharing them to other authorized entities. This prototype will allow patients to share information to their physicians, monitor their health status independently and notify the authorities rapidly in emergency situations. Historical data will also be available for further analysis, towards identifying patterns that may improve medical diagnoses in the foreseeable future

Designing a Mobile Device for Pre-hospital Care

Peer reviewedPreprin

The effect of mindfulness therapy through an android application on nurses' work stress: A literature review

Introduction: Several studies have shown that nurses have high levels of work stress. Work stress can be overcome with therapy, especially mindfulness therapy. The purpose of this literature review is to synthesize the literature on mindfulness therapy to reduce work stress for nurses.Objectives : The formulation of the problem in this study is how to influence mindfulness therapy through an android applicationon work stress on work nurses in Emergency Room.Methods: Literature search was carried out using several databases, including PubMed and Scient Direct. The keywords used are different in each database. For Pubmed use "mindfulness" and "online" and "workload" or "work stress" or "occupational stress" and “nurse”, meanwhile for scient direct use "mindfulness" and "online" or "app" and "workload" or "work stress" or "occupational stress" and "RCT". Results: The search results from various literature obtained 360 articles, then through a series of selections, 67 match the criteria. These articles are publications from 2018 – 2023. but only 7 articles that are reviewed and in accordance with the research topic  and 2 articles not available cannot be accessed, 1 article another language. There were 4 selected articles left for review. Conclusions: Nurses work have a high level of stress associated with a large workload. Work stress that is not handled properly can lead to social dysfunction and somatic disorders. Mindfulness-based stress reduction therapy is known effective in reducing the level of nurses anxiety, work fatigue, and work stress. Direct application or online is safe to give, because it does not have significant difference in effectiveness

Social and technological aspects of disaster resilience

Large scale projects tasked with designing infrastructures and urban networks resilient to disasters face a common challenge, i.e. the need to address concomitant technological issues and social problems. What is more, conflicting technologies and the diverse philosophical underpinnings of distinct academic disciplines pose difficulties in the collaboration among experts of different fields. These difficulties and possible ways to tackle them have been highlighted by a questionnaire developed in the framework of an EU project named ANDRDD (Academic Network for Disaster Resilience to optimize Educational development). More specifically, the project investigated the level of interdisciplinary work in current research and educational projects within the field of disaster resilience. findings illustrate the number and types of disciplines involved in disaster resilience projects and suggest that a higher degree of integration between different disciplines in tertiary education could promote a transdisciplinary approach to disaster resilience, resulting in design efficiency and innovation

MyHealth: a cross-domain platform for healthcare

Health monitoring is changing the way people feel and care about their physical condition in an era where electronic devices and sensors can follow us in a continuous basis. This surveillance process is mainly related to very specific conditions or vital signs, being the collected information stored for later data processing. This paper presents the work undertaken under the central system of the MyHealth project, dedicated to the collection and analysis of information on physiological and hemostatic processes ensuring a source of integrated, flexible and shareable clinical information used to support the decision making process. The proposed system is able to collect and fuse data from different medical specialties, in different formats and with different data collection rates. The development of this work is based on advanced knowledge in the medical field, biomedical engineering, computing and telecommunications, thus benefitting from an interdisciplinary approach that is able to provide added value services and decision support information to the healthcare professionals.This project was funded by Fundo Europeu de Desenvolvimento Regional (FEDER), Programa Operacional Factores de Competitividade (POFC), Project number 13853, and was supported by FCT – Fundação para a Ciência e Tecnologia, within the Project Scope: PEst-OE/EEI/UI0319/2014

THE IMPLEMENTATION OF SMART CITY IN CREATING INNOVATIONS OF PUBLIC SERVICES BY REGIONAL GOVERNMENTS (CASE STUDY OF BANDUNG CITY AND MAKASSAR CITY)

In order to make improvements in public services, the City Government of Bandung and Kota Makassar implement Smart City, and it is also in accordance with the directions of the Kementerian Pendayagunaan Aparatur Negara & Reformasi Birokrasi provide quality services that satisfy the needs of society in the fields of education, health, housing, and so forth. Local governments must also work creatively and innovatively to improve accountability, transparency, and responsiveness by utilizing information technology.  The focus of this study is to compare the Government of Bandung with Makassar City in running Smart City in order to implement the innovation of public services. As a method for this research, a qualitative analysis is used, so that the phenomena or situations in the field can be realistically and systematically explained in detail while using the review literature from previous research. The Governments of Bandung City and Makassar City have shown to be successful areas with the implementation of Smart City. Both cities have received many awards for providing innovative services of high quality in spite of the fact that Makassar city started relatively late with implementing Smart City. Although they have been successful so far, the innovation of public services in these two cities will still have to be improved, so that a larger part of society will be able to profit from them. It takes a deep commitment on the part of the local authorities in order to be able to implement Smart City that creates an innovative programme. Smart City's implementation is a solution for creating good governance and makes improvements across multiple sectors of society. Moreover, Smart City sustains community activities and also provides easy access to information made by local governments. Keywords: Smart City, Innovation, Public Servic

Privacy in the Smart City - Applications, Technologies, Challenges and Solutions

Many modern cities strive to integrate information technology into every aspect of city life to create so-called smart cities. Smart cities rely on a large number of application areas and technologies to realize complex interactions between citizens, third parties, and city departments. This overwhelming complexity is one reason why holistic privacy protection only rarely enters the picture. A lack of privacy can result in discrimination and social sorting, creating a fundamentally unequal society. To prevent this, we believe that a better understanding of smart cities and their privacy implications is needed. We therefore systematize the application areas, enabling technologies, privacy types, attackers and data sources for the attacks, giving structure to the fuzzy term “smart city”. Based on our taxonomies, we describe existing privacy-enhancing technologies, review the state of the art in real cities around the world, and discuss promising future research directions. Our survey can serve as a reference guide, contributing to the development of privacy-friendly smart cities

Identifying the Value of an eHealth Intervention Aimed at Cognitive Impairments: Observational Study in Different Contexts and Service Models

BACKGROUND: Value is one of the central concepts in health care, but it is vague within the field of summative eHealth evaluations. Moreover, the role of context in explaining the value is underexplored, and there is no explicit framework guiding the evaluation of the value of eHealth interventions. Hence, different studies conceptualize and operationalize value in different ways, ranging from measuring outcomes such as clinical efficacy or behavior change of patients or professionals to measuring the perceptions of various stakeholders or in economic terms. OBJECTIVE: The objective of our study is to identify contextual factors that determine similarities and differences in the value of an eHealth intervention between two contexts. We also aim to reflect on and contribute to the discussion about the specification, assessment, and relativity of the "value" concept in the evaluation of eHealth interventions. METHODS: The study concerned a 6-month eHealth intervention targeted at elderly patients (n=107) diagnosed with cognitive impairment in Italy and Sweden. The intervention introduced a case manager role and an eHealth platform to provide remote monitoring and coaching services to the patients. A model for evaluating the value of eHealth interventions was designed as monetary and nonmonetary benefits and sacrifices, based on the value conceptualizations in eHealth and marketing literature. The data was collected using the Mini-Mental State Examination (MMSE), the clock drawing test, and the 5-level EQ-5D (EQ-5D-5L). Semistructured interviews were conducted with patients and health care professionals. Monetary data was collected from the health care and technology providers. RESULTS: The value of an eHealth intervention applied to similar types of populations but differed in different contexts. In Sweden, patients improved cognitive performance (MMSE mean 0.85, SD 1.62, P<.001), reduced anxiety (EQ-5D-5L mean 0.16, SD 0.54, P=.046), perceived their health better (EQ-5D-5L VAS scale mean 2.6, SD 9.7, P=.035), and both patients and health care professionals were satisfied with the care. However, the Swedish service model demonstrated an increased cost, higher workload for health care professionals, and the intervention was not cost-efficient. In Italy, the patients were satisfied with the care received, and the health care professionals felt empowered and had an acceptable workload. Moreover, the intervention was cost-effective. However, clinical efficacy and quality of life improvements have not been observed. We identified 6 factors that influence the value of eHealth intervention in a particular context: (1) service delivery design of the intervention (process of delivery), (2) organizational setup of the intervention (ie, organizational structure and professionals involved), (3) cost of different treatments, (4) hourly rates of staff for delivering the intervention, (5) lifestyle habits of the population (eg, how physically active they were in their daily life and if they were living alone or with family), and (6) local preferences on the quality of patient care. CONCLUSIONS: Value in the assessments of eHealth interventions need to be considered beyond economic terms, perceptions, or behavior changes. To obtain a holistic view of the value created, it needs to be operationalized into monetary and nonmonetary outcomes, categorizing these into benefits and sacrifices

AEVUM: Personalized Health Monitoring System

Advancement in the field of sensors and other portable technologies have resulted in a bevy of health monitoring devices such as blue-tooth and Wi-Fi enabled weighing scales and wearables which help individuals monitor their personal health. This collected information provides a plethora of data points over intervals of time that a primary care physician can utilize to gain a holistic understanding of an individual’s health and provide a more effective and personalized treatment. A drawback of the existing health monitoring devices is that they are not integrated with the professional medical infrastructure. With the wealth of information collected, it is also not feasible for a physician to look through all the data to obtain relevant information or patterns from multiple health monitoring systems. Therefore, it would be beneficial to have a single platform of hardware devices to monitor and collect data and a software application to securely store the collected information, identify patterns for analysis, and summarize the data for the physician and the patient. The aim of this study was to design and develop an unobtrusive, user friendly system, Aevum, which would integrate technology, adapt itself to changes in consumer behavior and integrate with the existing healthcare infrastructure to help an individual monitor their health in a customized manner. Aevum is a multi-device system consisting of a smart, puck-shaped hardware product, a wristband and a software application available to the patient as well as the physician. In addition to monitoring vitals such as heart rate, blood pressure, body temperature and weight, Aevum can monitor environmental factors that affect an individual’s health and uses personalized metrics such as precise calorie intake and medication management to monitor health. This allows the user to personalize Aevum based on their health condition. Finally, Aevum identifies patterns of anomalies in the collected data and compiles the information which can be accessed by the physician to assist in their treatment